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   "source": [
    "Version 2.0 November 11th, 2023"
   ]
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    "# Oxygen corrections applied to delayed mode data\n",
    "- deployment: dfo-bb046-20220707\n",
    "- glider: dfo-bb046\n",
    "- sensor: oxygen_0054\n",
    "- calibration date: November 1st, 2021\n",
    "- description: Calvert Island Line"
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    "# 1.0 Preamble\n",
    "This document describes dissolved oxygen data processing steps applied to delayed mode data collected using a Rinko ARO-FT-CE dissolved oxygen optode mounted on an Alseamar SeaExplorer autonomous ocean glider. This sensor is mounted in the nose cone of the glider, adjacent to the CTD, and measures oxygen concentration. It has a response time of less than 1 s. Corrections applied use data collected by the CTD on the glider. Note that when converting between oxygen units, potential density is used. "
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    "deploy_name = 'dfo-bb046-20220707'\n",
    "glider_name = 'dfo-bb046'\n",
    "deploy_prefix = './dfo-bb046-20220707/'\n",
    "processing_report = 'Oxygen_dfo-bb046-20220707_v2'\n",
    "processing_date = '20231212'\n",
    "processing_protocol = 'C-PROOF_OxygenProcessingReport_v0.2.pdf'"
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    "# Set up our sensor-specific constants\n",
    "optode = 'Rinko' #Which type of sensor is on the glider 'Aanderaa' or 'Rinko'\n",
    "sn = '0054' #Sensor serial number\n",
    "field = 'oxy' #Determines if we need to convert to phase before applying time lag correction, verify units are in uM (umol/L), options are 'oxy' or 'phase'\n",
    "filt_name = 'Milo' #Type of filter to apply, options are 'Milo' and 'Boxcar'"
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    "## 1.1 Set up the processing\n",
    "\n",
    "The processing steps below are applied to delayed mode data stored in a single netcdf timeseries file created using the Pyglider data processing package (https://github.com/c-proof/pyglider). This data has already undergone CTD sensor corrections. The metadata and a detailed report describing the corrections being applied will be made available via the deployment page on the C-PROOF website: https://cproof.uvic.ca/gliderdata/deployments/dfo-bb046/dfo-bb046-20220707/."
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    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import xarray as xr\n",
    "import numpy as np\n",
    "import pathlib\n",
    "\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "import time \n",
    "import tqdm\n",
    "\n",
    "%matplotlib notebook\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt \n",
    "import matplotlib.dates as mdates\n",
    "from matplotlib.dates import DateFormatter\n",
    "\n",
    "import scipy.stats as stats\n",
    "\n",
    "import pandas as pd\n",
    "import csv\n",
    "import seawater\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
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    "ds = xr.open_dataset(f'{deploy_prefix}/{deploy_name}_adjusted.nc')"
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       "Dimensions:                (time: 1759051)\n",
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       "  * time                   (time) datetime64[ns] 2022-07-07T16:45:19.20499993...\n",
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       "    longitude              (time) float64 ...\n",
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       "Data variables: (12/22)\n",
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       "    roll                   (time) float64 ...\n",
       "    conductivity           (time) float64 ...\n",
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       "    pressure               (time) float64 ...\n",
       "    ...                     ...\n",
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       "    temperature_adjusted   (time) float64 ...\n",
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       "Attributes: (12/67)\n",
       "    Conventions:               CF-1.6\n",
       "    Metadata_Conventions:      CF-1.6, Unidata Dataset Discovery v1.0\n",
       "    acknowledgement:           Funding from Fisheries and Oceans Canada, Cana...\n",
       "    cdm_data_type:             Trajectory\n",
       "    comment:                   Calvert Island deployment\n",
       "    contributor_name:          James Pegg, Jody Klymak, Tetjana Ross, Jennife...\n",
       "    ...                        ...\n",
       "    summary:                   Glider deployed near Calvert Island BC as part...\n",
       "    time_coverage_end:         2022-07-28T03:28:20.381000000\n",
       "    time_coverage_start:       2022-07-07T16:45:19.205000000\n",
       "    title:                     dfo-bb046-20220707T1645\n",
       "    transmission_system:       IRIDIUM\n",
       "    wmo_id:                    4803918</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-cdc65678-0167-4db4-a542-d729c7d420e6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cdc65678-0167-4db4-a542-d729c7d420e6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1759051</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b1e88365-a332-46e6-a288-a16d7f3fbb53' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b1e88365-a332-46e6-a288-a16d7f3fbb53' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-07-07T16:45:19.204999936 .....</div><input id='attrs-8bcc0d60-b332-4f98-9ee9-72d103f35792' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bcc0d60-b332-4f98-9ee9-72d103f35792' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af30143d-0a2f-41ea-9a62-90a130f37015' class='xr-var-data-in' type='checkbox'><label for='data-af30143d-0a2f-41ea-9a62-90a130f37015' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>observation_type :</span></dt><dd>measured</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-07-07T16:45:19.204999936&#x27;, &#x27;2022-07-07T16:45:19.940000000&#x27;,\n",
       "       &#x27;2022-07-07T16:45:20.945999872&#x27;, ..., &#x27;2022-07-28T03:28:18.376999936&#x27;,\n",
       "       &#x27;2022-07-28T03:28:19.375000064&#x27;, &#x27;2022-07-28T03:28:20.380999936&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-509a7711-0ebd-45b8-98dc-d6e4b48e266b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-509a7711-0ebd-45b8-98dc-d6e4b48e266b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee41fc2f-5fe5-45b9-8eee-fb8a34f86d49' class='xr-var-data-in' type='checkbox'><label for='data-ee41fc2f-5fe5-45b9-8eee-fb8a34f86d49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>NAV_LATITUDE</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>conversion :</span></dt><dd>nmea2deg</dd><dt><span>comment :</span></dt><dd>Estimated between surface fixes</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>reference :</span></dt><dd>WGS84</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>coordinate_reference_frame :</span></dt><dd>urn:ogc:crs:EPSG::4326</dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3214692-2ae6-4182-b229-8915a8ef1089' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3214692-2ae6-4182-b229-8915a8ef1089' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b632903e-ef1b-4372-a5cb-bd8765dae0b7' class='xr-var-data-in' type='checkbox'><label for='data-b632903e-ef1b-4372-a5cb-bd8765dae0b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>NAV_LONGITUDE</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>conversion :</span></dt><dd>nmea2deg</dd><dt><span>comment :</span></dt><dd>Estimated between surface fixes</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>reference :</span></dt><dd>WGS84</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>coordinate_reference_frame :</span></dt><dd>urn:ogc:crs:EPSG::4326</dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bfe22092-f8e8-4846-8229-fe808466a5aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfe22092-f8e8-4846-8229-fe808466a5aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88d8c743-4ffa-44ef-bd87-44fa2cccfc4b' class='xr-var-data-in' type='checkbox'><label for='data-88d8c743-4ffa-44ef-bd87-44fa2cccfc4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>pressure</dd><dt><span>long_name :</span></dt><dd>glider depth</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>comment :</span></dt><dd>from science pressure and interpolated</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>accuracy :</span></dt><dd>1</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>resolution :</span></dt><dd>0.02</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>reference_datum :</span></dt><dd>surface</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pind</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bfb1c34d-e905-46de-93c7-7e60cfc6d7d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfb1c34d-e905-46de-93c7-7e60cfc6d7d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f3caeaf-4c3f-417f-8a4a-ea2e6cc4b31d' class='xr-var-data-in' type='checkbox'><label for='data-9f3caeaf-4c3f-417f-8a4a-ea2e6cc4b31d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>profile index</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>N = inside profile N, N + 0.5 = between profiles N and N + 1</dd><dt><span>sources :</span></dt><dd>time pressure</dd><dt><span>method :</span></dt><dd>get_profiles_new</dd><dt><span>min_dp :</span></dt><dd>10.0</dd><dt><span>filt_length :</span></dt><dd>20</dd><dt><span>min_nsamples :</span></dt><dd>100</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0f356388-c237-4fe9-8ab8-fa376cba35f2' class='xr-section-summary-in' type='checkbox'  ><label for='section-0f356388-c237-4fe9-8ab8-fa376cba35f2' class='xr-section-summary' >Data variables: <span>(22)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f672ebf8-db1c-498f-88a8-d3337b8e0188' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f672ebf8-db1c-498f-88a8-d3337b8e0188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b3bc226-c24b-4edf-bb33-cb8ed8e093ba' class='xr-var-data-in' type='checkbox'><label for='data-5b3bc226-c24b-4edf-bb33-cb8ed8e093ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>Heading</dd><dt><span>long_name :</span></dt><dd>glider heading angle</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad3b2aae-d26e-4dc8-aa3f-7a4c595e7af6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad3b2aae-d26e-4dc8-aa3f-7a4c595e7af6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd15245d-f76e-4207-a51b-42dbe9ea7ef3' class='xr-var-data-in' type='checkbox'><label for='data-cd15245d-f76e-4207-a51b-42dbe9ea7ef3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>Pitch</dd><dt><span>long_name :</span></dt><dd>glider pitch angle</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ab5c75d-6536-458e-afa9-3f9e7a86acb0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ab5c75d-6536-458e-afa9-3f9e7a86acb0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-886f9f41-f73b-45cc-a6ca-7632c72b52c0' class='xr-var-data-in' type='checkbox'><label for='data-886f9f41-f73b-45cc-a6ca-7632c72b52c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>Roll</dd><dt><span>long_name :</span></dt><dd>glider roll angle</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conductivity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-895d8a65-5386-4eaa-8c6a-dc9a0bad9b99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-895d8a65-5386-4eaa-8c6a-dc9a0bad9b99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2b12d8c-ea5b-48b4-9818-f0d104eefcc1' class='xr-var-data-in' type='checkbox'><label for='data-f2b12d8c-ea5b-48b4-9818-f0d104eefcc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>GPCTD_CONDUCTIVITY</dd><dt><span>long_name :</span></dt><dd>water conductivity</dd><dt><span>standard_name :</span></dt><dd>sea_water_electrical_conductivity</dd><dt><span>units :</span></dt><dd>S m-1</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>valid_min :</span></dt><dd>0.</dd><dt><span>valid_max :</span></dt><dd>10.</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>accuracy :</span></dt><dd>0.0003</dd><dt><span>precision :</span></dt><dd>0.0001</dd><dt><span>resolution :</span></dt><dd>0.00002</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69b331aa-f4d5-4a63-b37f-bb2154a13be2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69b331aa-f4d5-4a63-b37f-bb2154a13be2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acbf652d-fbd7-48a6-a8bf-ab11ef0c81a6' class='xr-var-data-in' type='checkbox'><label for='data-acbf652d-fbd7-48a6-a8bf-ab11ef0c81a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>GPCTD_TEMPERATURE</dd><dt><span>long_name :</span></dt><dd>water temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>valid_min :</span></dt><dd>-5</dd><dt><span>valid_max :</span></dt><dd>50</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>accuracy :</span></dt><dd>0.002</dd><dt><span>precision :</span></dt><dd>0.001</dd><dt><span>resolution :</span></dt><dd>0.0002</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-79d07efe-fbfd-458f-990e-889009920bc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79d07efe-fbfd-458f-990e-889009920bc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf8eb36c-6459-4102-be35-52c8f9ac66b0' class='xr-var-data-in' type='checkbox'><label for='data-cf8eb36c-6459-4102-be35-52c8f9ac66b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>GPCTD_PRESSURE</dd><dt><span>long_name :</span></dt><dd>water pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>dbar</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>reference_datum :</span></dt><dd>sea-surface</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>accuracy :</span></dt><dd>1</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>resolution :</span></dt><dd>0.02</dd><dt><span>comment :</span></dt><dd>ctd pressure sensor</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlorophyll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f6fdd1fd-6bb3-460a-a7bb-aeb1314d409a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6fdd1fd-6bb3-460a-a7bb-aeb1314d409a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfecff73-a8cb-46a4-a71f-cff8e65e64af' class='xr-var-data-in' type='checkbox'><label for='data-cfecff73-a8cb-46a4-a71f-cff8e65e64af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>FLBBCD_CHL_SCALED</dd><dt><span>long_name :</span></dt><dd>chlorophyll</dd><dt><span>standard_name :</span></dt><dd>concentration_of_chlorophyll_in_sea_water</dd><dt><span>units :</span></dt><dd>mg m-3</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cdom</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-49b4d37b-99e1-47c0-ac49-6163f2ff896b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49b4d37b-99e1-47c0-ac49-6163f2ff896b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61209b39-fdcb-4603-918c-df672c542bca' class='xr-var-data-in' type='checkbox'><label for='data-61209b39-fdcb-4603-918c-df672c542bca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>FLBBCD_CDOM_SCALED</dd><dt><span>long_name :</span></dt><dd>CDOM</dd><dt><span>units :</span></dt><dd>ppb</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>backscatter_700</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69edf12b-a1e7-456e-be1d-2cc5f9cb3be8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69edf12b-a1e7-456e-be1d-2cc5f9cb3be8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-150dfe89-cd77-492e-91fc-9013fd5331bc' class='xr-var-data-in' type='checkbox'><label for='data-150dfe89-cd77-492e-91fc-9013fd5331bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>FLBBCD_BB_700_SCALED</dd><dt><span>long_name :</span></dt><dd>700 nm wavelength backscatter</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>oxygen_concentration</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fec5533b-480d-4ab8-ae69-affd68e1945c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fec5533b-480d-4ab8-ae69-affd68e1945c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-057b3dc8-842c-4991-bb02-dac276846ffe' class='xr-var-data-in' type='checkbox'><label for='data-057b3dc8-842c-4991-bb02-dac276846ffe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>AROD_FT_DO</dd><dt><span>long_name :</span></dt><dd>oxygen concentration</dd><dt><span>standard_name :</span></dt><dd>mole_concentration_of_dissolved_molecular_oxygen_in_sea_water</dd><dt><span>units :</span></dt><dd>umol l-1</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_oxygen</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bdb7b0cb-0d08-4ba9-a53e-32b562cc038a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdb7b0cb-0d08-4ba9-a53e-32b562cc038a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adaf0ca3-550e-4fea-8b77-13a6de326475' class='xr-var-data-in' type='checkbox'><label for='data-adaf0ca3-550e-4fea-8b77-13a6de326475' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>AROD_FT_TEMP</dd><dt><span>long_name :</span></dt><dd>oxygen sensor temperature</dd><dt><span>standard_name :</span></dt><dd>temperature_of_sensor_for_oxygen_in_sea_water</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance_over_ground</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90f8b953-1622-40e2-ba6c-39b99d2ac711' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90f8b953-1622-40e2-ba6c-39b99d2ac711' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c867e82d-fd86-4c9a-a926-25f1545709b1' class='xr-var-data-in' type='checkbox'><label for='data-c867e82d-fd86-4c9a-a926-25f1545709b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>distance over ground flown since mission start</dd><dt><span>method :</span></dt><dd>get_distance_over_ground</dd><dt><span>units :</span></dt><dd>km</dd><dt><span>sources :</span></dt><dd>latitude longitude</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile_index</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-66d6acf1-9a1e-41c2-bc47-9f6c9ae48a80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66d6acf1-9a1e-41c2-bc47-9f6c9ae48a80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef55bb04-2eff-49f7-be2e-bef822c6b971' class='xr-var-data-in' type='checkbox'><label for='data-ef55bb04-2eff-49f7-be2e-bef822c6b971' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>profile index</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>N = inside profile N, N + 0.5 = between profiles N and N + 1</dd><dt><span>sources :</span></dt><dd>time pressure</dd><dt><span>method :</span></dt><dd>get_profiles_new</dd><dt><span>min_dp :</span></dt><dd>10.0</dd><dt><span>filt_length :</span></dt><dd>20</dd><dt><span>min_nsamples :</span></dt><dd>100</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile_direction</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4533e183-27a3-482b-90d3-630b20edf47b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4533e183-27a3-482b-90d3-630b20edf47b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca993c1b-c956-4d72-96b9-bb40b8c80b0b' class='xr-var-data-in' type='checkbox'><label for='data-ca993c1b-c956-4d72-96b9-bb40b8c80b0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>glider vertical speed direction</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>-1 = ascending, 0 = inflecting or stalled, 1 = descending</dd><dt><span>sources :</span></dt><dd>time pressure</dd><dt><span>method :</span></dt><dd>get_profiles_new</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e23618c1-7cd0-4040-9084-d866123816ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e23618c1-7cd0-4040-9084-d866123816ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee73af8d-a41c-475d-8a18-6899a68a629b' class='xr-var-data-in' type='checkbox'><label for='data-ee73af8d-a41c-475d-8a18-6899a68a629b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity</dd><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>sources :</span></dt><dd>conductivity temperature pressure</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_density</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0d65ec8f-3455-48f0-8369-8167bdf47abc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d65ec8f-3455-48f0-8369-8167bdf47abc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-890c8d2b-bda0-4ee2-9a8f-d3915bef9a21' class='xr-var-data-in' type='checkbox'><label for='data-890c8d2b-bda0-4ee2-9a8f-d3915bef9a21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water potential density</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_density</dd><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>sources :</span></dt><dd>salinity temperature pressure</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>density</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-171f138f-28b5-4c1e-8f6e-e01ef9450e4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-171f138f-28b5-4c1e-8f6e-e01ef9450e4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53b2e369-5d24-4fab-8920-ca344f8aa778' class='xr-var-data-in' type='checkbox'><label for='data-53b2e369-5d24-4fab-8920-ca344f8aa778' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Density</dd><dt><span>standard_name :</span></dt><dd>sea_water_density</dd><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>sources :</span></dt><dd>salinity temperature pressure</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>valid_min :</span></dt><dd>1000.0</dd><dt><span>valid_max :</span></dt><dd>1040.0</dd><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_temperature</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ccf68bf6-8e2e-4410-8f40-681278be7ceb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccf68bf6-8e2e-4410-8f40-681278be7ceb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bad2f874-2596-43b8-a160-75642c657ae6' class='xr-var-data-in' type='checkbox'><label for='data-bad2f874-2596-43b8-a160-75642c657ae6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water potential temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>sources :</span></dt><dd>salinity temperature pressure</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>accuracy :</span></dt><dd>0.002</dd><dt><span>precision :</span></dt><dd>0.001</dd><dt><span>resolution :</span></dt><dd>0.0001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conductivity_adjusted</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93e104cc-12c7-429d-8380-583b6ac8bdb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93e104cc-12c7-429d-8380-583b6ac8bdb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6147dad8-14af-4bde-b63e-de15f6746fd0' class='xr-var-data-in' type='checkbox'><label for='data-6147dad8-14af-4bde-b63e-de15f6746fd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>corrected conductivity</dd><dt><span>processing_report :</span></dt><dd>CTD_dfo-bb046-20220707_v2</dd><dt><span>processing_date :</span></dt><dd>C-PROOF_SBE_CTDProcessingReport_v0.2.pdf</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_adjusted</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-740d7978-8057-4b90-b6b9-e66373073d56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-740d7978-8057-4b90-b6b9-e66373073d56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2866959e-fc62-4d2f-ae98-81bf4dd47199' class='xr-var-data-in' type='checkbox'><label for='data-2866959e-fc62-4d2f-ae98-81bf4dd47199' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>GPCTD_TEMPERATURE</dd><dt><span>long_name :</span></dt><dd>water temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>valid_min :</span></dt><dd>-5</dd><dt><span>valid_max :</span></dt><dd>50</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>accuracy :</span></dt><dd>0.002</dd><dt><span>precision :</span></dt><dd>0.001</dd><dt><span>resolution :</span></dt><dd>0.0002</dd><dt><span>comment :</span></dt><dd>corrected temperature</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd><dt><span>processing_report :</span></dt><dd>CTD_dfo-bb046-20220707_v2</dd><dt><span>processing_date :</span></dt><dd>C-PROOF_SBE_CTDProcessingReport_v0.2.pdf</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity_adjusted</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fcef751e-23e8-4a0d-82b2-488e8e49ee8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcef751e-23e8-4a0d-82b2-488e8e49ee8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b84e282-13e2-4f95-9628-d64cbc3c40ee' class='xr-var-data-in' type='checkbox'><label for='data-3b84e282-13e2-4f95-9628-d64cbc3c40ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity</dd><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>comment :</span></dt><dd>corrected salinity</dd><dt><span>sources :</span></dt><dd>conductivity temperature pressure</dd><dt><span>method :</span></dt><dd> </dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd><dt><span>processing_report :</span></dt><dd>CTD_dfo-bb046-20220707_v2</dd><dt><span>processing_date :</span></dt><dd>20231212</dd><dt><span>processing_protocol :</span></dt><dd>C-PROOF_SBE_CTDProcessingReport_v0.2.pdf</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>density_adjusted</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd91c714-bbe0-40fb-89d9-601969eb13fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd91c714-bbe0-40fb-89d9-601969eb13fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c8371eb-f896-4d09-a10a-2feded30c612' class='xr-var-data-in' type='checkbox'><label for='data-6c8371eb-f896-4d09-a10a-2feded30c612' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Density</dd><dt><span>standard_name :</span></dt><dd>sea_water_density</dd><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>comment :</span></dt><dd>density from corrected salinity [psu] and temperature [degC]</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>sources :</span></dt><dd>salinity temperature pressure</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>method :</span></dt><dd> </dd><dt><span>valid_min :</span></dt><dd>1000.0</dd><dt><span>valid_max :</span></dt><dd>1040.0</dd><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-80be132b-3663-4a3f-97be-d0d47ff73356' class='xr-section-summary-in' type='checkbox'  ><label for='section-80be132b-3663-4a3f-97be-d0d47ff73356' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-52fb0d1b-2ce4-4daa-be53-ceae77c39092' class='xr-index-data-in' type='checkbox'/><label for='index-52fb0d1b-2ce4-4daa-be53-ceae77c39092' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-07-07 16:45:19.204999936&#x27;,\n",
       "                  &#x27;2022-07-07 16:45:19.940000&#x27;,\n",
       "               &#x27;2022-07-07 16:45:20.945999872&#x27;,\n",
       "               &#x27;2022-07-07 16:45:21.943000064&#x27;,\n",
       "               &#x27;2022-07-07 16:45:22.935000064&#x27;,\n",
       "                  &#x27;2022-07-07 16:45:23.944000&#x27;,\n",
       "               &#x27;2022-07-07 16:45:24.945999872&#x27;,\n",
       "               &#x27;2022-07-07 16:45:25.935000064&#x27;,\n",
       "               &#x27;2022-07-07 16:45:26.934000128&#x27;,\n",
       "               &#x27;2022-07-07 16:45:27.934000128&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-07-28 03:28:11.401999872&#x27;,\n",
       "                  &#x27;2022-07-28 03:28:12.372000&#x27;,\n",
       "                  &#x27;2022-07-28 03:28:13.372000&#x27;,\n",
       "               &#x27;2022-07-28 03:28:14.377999872&#x27;,\n",
       "               &#x27;2022-07-28 03:28:15.376999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:16.380999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:17.376999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:18.376999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:19.375000064&#x27;,\n",
       "               &#x27;2022-07-28 03:28:20.380999936&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1759051, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d8361da-bf97-4aa0-afb5-3cbf73c6fe4b' class='xr-section-summary-in' type='checkbox'  ><label for='section-6d8361da-bf97-4aa0-afb5-3cbf73c6fe4b' class='xr-section-summary' >Attributes: <span>(67)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>Metadata_Conventions :</span></dt><dd>CF-1.6, Unidata Dataset Discovery v1.0</dd><dt><span>acknowledgement :</span></dt><dd>Funding from Fisheries and Oceans Canada, Canadian Foundation for Innovation, BC Knowledge Development Fund</dd><dt><span>cdm_data_type :</span></dt><dd>Trajectory</dd><dt><span>comment :</span></dt><dd>Calvert Island deployment</dd><dt><span>contributor_name :</span></dt><dd>James Pegg, Jody Klymak, Tetjana Ross, Jennifer Jackson, Hayley Dosser</dd><dt><span>contributor_role :</span></dt><dd>Lead Technician, Principal Investigator, Co-PI, Co-PI, Ocean Glider Scientist</dd><dt><span>creator_email :</span></dt><dd>jklymak@uvic.ca</dd><dt><span>creator_name :</span></dt><dd>Jody Klymak</dd><dt><span>creator_url :</span></dt><dd>http://cproof.uvic.ca</dd><dt><span>ctd :</span></dt><dd>{&#x27;make&#x27;: &#x27;Seabird&#x27;, &#x27;model&#x27;: &#x27;GPCTD&#x27;, &#x27;serial&#x27;: &#x27;0329&#x27;, &#x27;long_name&#x27;: &#x27;Seabird GPCTD&#x27;, &#x27;make_model&#x27;: &#x27;Seabird GPCTD&#x27;, &#x27;factory_calibrated&#x27;: &#x27;Yes&#x27;, &#x27;calibration_date&#x27;: &#x27;20210414&#x27;, &#x27;calibration_report&#x27;: &#x27; &#x27;, &#x27;comment&#x27;: &#x27; &#x27;}</dd><dt><span>data_mode :</span></dt><dd>P</dd><dt><span>date_created :</span></dt><dd>2023-06-23T18:04:31Z</dd><dt><span>date_issued :</span></dt><dd>2023-06-23T18:04:31Z</dd><dt><span>date_modified :</span></dt><dd> </dd><dt><span>deployment_end :</span></dt><dd>2022-07-28T03:28:20.381000000</dd><dt><span>deployment_id :</span></dt><dd>70</dd><dt><span>deployment_latitude :</span></dt><dd>51.719</dd><dt><span>deployment_longitude :</span></dt><dd>-128.068</dd><dt><span>deployment_name :</span></dt><dd>dfo-bb046-20220707</dd><dt><span>deployment_start :</span></dt><dd>2022-07-07T16:45:19.205000000</dd><dt><span>deployment_station :</span></dt><dd>HKP-02</dd><dt><span>deployment_vessel :</span></dt><dd>Good Hope III</dd><dt><span>featureType :</span></dt><dd>timeseries</dd><dt><span>format_version :</span></dt><dd>IOOS_Glider_NetCDF_v2.0.nc</dd><dt><span>geospatial_lat_max :</span></dt><dd>51.728950000000005</dd><dt><span>geospatial_lat_min :</span></dt><dd>50.879149999999996</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>-128.0323</dd><dt><span>geospatial_lon_min :</span></dt><dd>-130.45725</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>glider_instrument_name :</span></dt><dd>seaexplorer</dd><dt><span>glider_model :</span></dt><dd>SeaExplorer</dd><dt><span>glider_name :</span></dt><dd>dfo-bb</dd><dt><span>glider_serial :</span></dt><dd>046</dd><dt><span>glider_wmo :</span></dt><dd>4803918</dd><dt><span>history :</span></dt><dd>CPROOF glider toolbox version: pre-tag</dd><dt><span>id :</span></dt><dd>dfo-bb046-20220707T1645</dd><dt><span>institution :</span></dt><dd>C-PROOF</dd><dt><span>keywords :</span></dt><dd>AUVS, Autonomous Underwater Vehicles, Oceans, Ocean Pressure, Water Pressure, Oceans, Ocean Temperature, Water Temperature, Oceans, Salinity/Density, Conductivity, Oceans, Salinity/Density, Density, Oceans, Salinity/Density, Salinity</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMD Science Keywords</dd><dt><span>license :</span></dt><dd>This data may be redistributed and used without restriction or warranty</dd><dt><span>metadata_link :</span></dt><dd>https://cproof.uvic.ca</dd><dt><span>naming_authority :</span></dt><dd>ca.uvic.cproof</dd><dt><span>netcdf_version :</span></dt><dd>4.0</dd><dt><span>network :</span></dt><dd>OceanGliders &gt; BOON &gt; Northeast Pacific Ocean &gt; C-PROOF, IOOS</dd><dt><span>oceanGliders site :</span></dt><dd>Calvert Island</dd><dt><span>optics :</span></dt><dd>{&#x27;make&#x27;: &#x27;Wetlabs&#x27;, &#x27;model&#x27;: &#x27;FLBBCDSLC&#x27;, &#x27;serial&#x27;: &#x27;4741&#x27;, &#x27;calibration_date&#x27;: &#x27;20180807&#x27;}</dd><dt><span>oxygen :</span></dt><dd>{&#x27;make&#x27;: &#x27;AROD_FT&#x27;, &#x27;model&#x27;: &#x27;Optode4831&#x27;, &#x27;serial&#x27;: &#x27;0054&#x27;, &#x27;calibration_date&#x27;: &#x27;20211101&#x27;}</dd><dt><span>platform_type :</span></dt><dd>SeaExplorer Glider</dd><dt><span>pressure :</span></dt><dd>{&#x27;make&#x27;: &#x27;Micron&#x27;, &#x27;model&#x27;: &#x27;Pressure&#x27;, &#x27;serial&#x27;: &#x27; &#x27;}</dd><dt><span>processing_level :</span></dt><dd>Level 0 (L0) processed data timeseries; no corrections or data screening</dd><dt><span>project :</span></dt><dd>Calvert Island Line</dd><dt><span>project_url :</span></dt><dd>https://hakai.org/location/calvert/</dd><dt><span>publisher_email :</span></dt><dd>jklymak@uvic.ca</dd><dt><span>publisher_name :</span></dt><dd>Jody Klymak</dd><dt><span>publisher_url :</span></dt><dd>http://cproof.uvic.ca</dd><dt><span>references :</span></dt><dd>cproof toolbox URL</dd><dt><span>sea_name :</span></dt><dd>Coastal Waters of Southeast Alaska and British Columbia</dd><dt><span>source :</span></dt><dd>Observational data from a profiling glider.</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v49</dd><dt><span>summary :</span></dt><dd>Glider deployed near Calvert Island BC as part of the C-PROOF glider program. Glider is on a repeat sampling line - the Calvert Line - running from near Calvert Island to beyond the shelf break in Queen Charlotte Sound, before returning to the deployment location.</dd><dt><span>time_coverage_end :</span></dt><dd>2022-07-28T03:28:20.381000000</dd><dt><span>time_coverage_start :</span></dt><dd>2022-07-07T16:45:19.205000000</dd><dt><span>title :</span></dt><dd>dfo-bb046-20220707T1645</dd><dt><span>transmission_system :</span></dt><dd>IRIDIUM</dd><dt><span>wmo_id :</span></dt><dd>4803918</dd></dl></div></li></ul></div></div>"
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       "<xarray.Dataset>\n",
       "Dimensions:                (time: 1759051)\n",
       "Coordinates:\n",
       "  * time                   (time) datetime64[ns] 2022-07-07T16:45:19.20499993...\n",
       "    latitude               (time) float64 ...\n",
       "    longitude              (time) float64 ...\n",
       "    depth                  (time) float64 ...\n",
       "    pind                   (time) float64 ...\n",
       "Data variables: (12/22)\n",
       "    heading                (time) float64 ...\n",
       "    pitch                  (time) float64 ...\n",
       "    roll                   (time) float64 ...\n",
       "    conductivity           (time) float64 ...\n",
       "    temperature            (time) float64 ...\n",
       "    pressure               (time) float64 ...\n",
       "    ...                     ...\n",
       "    density                (time) float64 ...\n",
       "    potential_temperature  (time) float64 ...\n",
       "    conductivity_adjusted  (time) float64 ...\n",
       "    temperature_adjusted   (time) float64 ...\n",
       "    salinity_adjusted      (time) float64 ...\n",
       "    density_adjusted       (time) float64 ...\n",
       "Attributes: (12/67)\n",
       "    Conventions:               CF-1.6\n",
       "    Metadata_Conventions:      CF-1.6, Unidata Dataset Discovery v1.0\n",
       "    acknowledgement:           Funding from Fisheries and Oceans Canada, Cana...\n",
       "    cdm_data_type:             Trajectory\n",
       "    comment:                   Calvert Island deployment\n",
       "    contributor_name:          James Pegg, Jody Klymak, Tetjana Ross, Jennife...\n",
       "    ...                        ...\n",
       "    summary:                   Glider deployed near Calvert Island BC as part...\n",
       "    time_coverage_end:         2022-07-28T03:28:20.381000000\n",
       "    time_coverage_start:       2022-07-07T16:45:19.205000000\n",
       "    title:                     dfo-bb046-20220707T1645\n",
       "    transmission_system:       IRIDIUM\n",
       "    wmo_id:                    4803918"
      ]
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     "execution_count": 5,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;oxygen_concentration&#x27; (time: 1759051)&gt;\n",
       "[1759051 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 2022-07-07T16:45:19.204999936 ... 2022-0...\n",
       "    latitude   (time) float64 ...\n",
       "    longitude  (time) float64 ...\n",
       "    depth      (time) float64 ...\n",
       "    pind       (time) float64 ...\n",
       "Attributes:\n",
       "    source:               AROD_FT_DO\n",
       "    long_name:            oxygen concentration\n",
       "    standard_name:        mole_concentration_of_dissolved_molecular_oxygen_in...\n",
       "    units:                umol l-1\n",
       "    comment:               \n",
       "    accuracy:              \n",
       "    precision:             \n",
       "    platform:             platform\n",
       "    resolution:            \n",
       "    ancillary_variables:   </pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'oxygen_concentration'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1759051</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2bc573d2-c583-4cef-b5e6-5224c3d4e651' class='xr-array-in' type='checkbox' checked><label for='section-2bc573d2-c583-4cef-b5e6-5224c3d4e651' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[1759051 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-2e8e138a-a335-4050-a728-b0ba8c2d0a03' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e8e138a-a335-4050-a728-b0ba8c2d0a03' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-07-07T16:45:19.204999936 .....</div><input id='attrs-6ed3f687-2d91-4599-b286-5efd981fe0e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ed3f687-2d91-4599-b286-5efd981fe0e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d80d23de-5717-4649-a5e5-c3b9322b723b' class='xr-var-data-in' type='checkbox'><label for='data-d80d23de-5717-4649-a5e5-c3b9322b723b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>observation_type :</span></dt><dd>measured</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-07-07T16:45:19.204999936&#x27;, &#x27;2022-07-07T16:45:19.940000000&#x27;,\n",
       "       &#x27;2022-07-07T16:45:20.945999872&#x27;, ..., &#x27;2022-07-28T03:28:18.376999936&#x27;,\n",
       "       &#x27;2022-07-28T03:28:19.375000064&#x27;, &#x27;2022-07-28T03:28:20.380999936&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9dceefff-4047-43cf-a122-143dee5d764b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9dceefff-4047-43cf-a122-143dee5d764b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b66bf57-5968-4838-a0b4-94bee444370b' class='xr-var-data-in' type='checkbox'><label for='data-4b66bf57-5968-4838-a0b4-94bee444370b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>NAV_LATITUDE</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>conversion :</span></dt><dd>nmea2deg</dd><dt><span>comment :</span></dt><dd>Estimated between surface fixes</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>reference :</span></dt><dd>WGS84</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>coordinate_reference_frame :</span></dt><dd>urn:ogc:crs:EPSG::4326</dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e7c52c3-055c-4580-9be3-39f4109656f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e7c52c3-055c-4580-9be3-39f4109656f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4585ba8f-08a1-4d4f-b381-ec30851c3788' class='xr-var-data-in' type='checkbox'><label for='data-4585ba8f-08a1-4d4f-b381-ec30851c3788' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>NAV_LONGITUDE</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>conversion :</span></dt><dd>nmea2deg</dd><dt><span>comment :</span></dt><dd>Estimated between surface fixes</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>reference :</span></dt><dd>WGS84</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>coordinate_reference_frame :</span></dt><dd>urn:ogc:crs:EPSG::4326</dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bfe3cce2-abd3-4462-acc4-f15e44c728c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfe3cce2-abd3-4462-acc4-f15e44c728c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddccbff0-d216-4be8-943c-e2aa81f11ab6' class='xr-var-data-in' type='checkbox'><label for='data-ddccbff0-d216-4be8-943c-e2aa81f11ab6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>pressure</dd><dt><span>long_name :</span></dt><dd>glider depth</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>comment :</span></dt><dd>from science pressure and interpolated</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>accuracy :</span></dt><dd>1</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>resolution :</span></dt><dd>0.02</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>reference_datum :</span></dt><dd>surface</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pind</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-37dfb882-00a5-4ccf-b344-96d2357dadd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37dfb882-00a5-4ccf-b344-96d2357dadd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e931efda-2a66-4f51-947e-2263a5fa766c' class='xr-var-data-in' type='checkbox'><label for='data-e931efda-2a66-4f51-947e-2263a5fa766c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>profile index</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>N = inside profile N, N + 0.5 = between profiles N and N + 1</dd><dt><span>sources :</span></dt><dd>time pressure</dd><dt><span>method :</span></dt><dd>get_profiles_new</dd><dt><span>min_dp :</span></dt><dd>10.0</dd><dt><span>filt_length :</span></dt><dd>20</dd><dt><span>min_nsamples :</span></dt><dd>100</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ab3efcc-e3ae-46ab-ba25-9bd3b46413d9' class='xr-section-summary-in' type='checkbox'  ><label for='section-9ab3efcc-e3ae-46ab-ba25-9bd3b46413d9' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-29e5eae2-6c75-461f-8615-cd3ab5e5ecf8' class='xr-index-data-in' type='checkbox'/><label for='index-29e5eae2-6c75-461f-8615-cd3ab5e5ecf8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-07-07 16:45:19.204999936&#x27;,\n",
       "                  &#x27;2022-07-07 16:45:19.940000&#x27;,\n",
       "               &#x27;2022-07-07 16:45:20.945999872&#x27;,\n",
       "               &#x27;2022-07-07 16:45:21.943000064&#x27;,\n",
       "               &#x27;2022-07-07 16:45:22.935000064&#x27;,\n",
       "                  &#x27;2022-07-07 16:45:23.944000&#x27;,\n",
       "               &#x27;2022-07-07 16:45:24.945999872&#x27;,\n",
       "               &#x27;2022-07-07 16:45:25.935000064&#x27;,\n",
       "               &#x27;2022-07-07 16:45:26.934000128&#x27;,\n",
       "               &#x27;2022-07-07 16:45:27.934000128&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-07-28 03:28:11.401999872&#x27;,\n",
       "                  &#x27;2022-07-28 03:28:12.372000&#x27;,\n",
       "                  &#x27;2022-07-28 03:28:13.372000&#x27;,\n",
       "               &#x27;2022-07-28 03:28:14.377999872&#x27;,\n",
       "               &#x27;2022-07-28 03:28:15.376999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:16.380999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:17.376999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:18.376999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:19.375000064&#x27;,\n",
       "               &#x27;2022-07-28 03:28:20.380999936&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1759051, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-12167479-a16a-4888-89dd-ba5e1196798a' class='xr-section-summary-in' type='checkbox'  ><label for='section-12167479-a16a-4888-89dd-ba5e1196798a' class='xr-section-summary' >Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>AROD_FT_DO</dd><dt><span>long_name :</span></dt><dd>oxygen concentration</dd><dt><span>standard_name :</span></dt><dd>mole_concentration_of_dissolved_molecular_oxygen_in_sea_water</dd><dt><span>units :</span></dt><dd>umol l-1</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'oxygen_concentration' (time: 1759051)>\n",
       "[1759051 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 2022-07-07T16:45:19.204999936 ... 2022-0...\n",
       "    latitude   (time) float64 ...\n",
       "    longitude  (time) float64 ...\n",
       "    depth      (time) float64 ...\n",
       "    pind       (time) float64 ...\n",
       "Attributes:\n",
       "    source:               AROD_FT_DO\n",
       "    long_name:            oxygen concentration\n",
       "    standard_name:        mole_concentration_of_dissolved_molecular_oxygen_in...\n",
       "    units:                umol l-1\n",
       "    comment:               \n",
       "    accuracy:              \n",
       "    precision:             \n",
       "    platform:             platform\n",
       "    resolution:            \n",
       "    ancillary_variables:   "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.oxygen_concentration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "af7630a9-021f-4701-a336-5bf947bb470a",
   "metadata": {
    "jupyter": {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading coefficients for Rinko sensor\n"
     ]
    }
   ],
   "source": [
    "if field == 'oxy' and optode == 'Rinko' and sn == '0054':\n",
    "    print('Loading coefficients for Rinko sensor')\n",
    "    #Rinko sensor 0054 from BB 046 replaced the original (0022) in 2022\n",
    "    d0 = 1.255222e-4\n",
    "    d1 = -1.544663e-1\n",
    "    d2 = 1.892410e-1\n",
    "    c0 = 2.912402e-3\n",
    "    c1 = 1.262973e-4\n",
    "    c2 = 2.710603e-6\n",
    "    \n",
    "    Cp = 0.0041 #Calibration coeff for pressure correction, listed on the calibration cert\n",
    "    \n",
    "    B0 = -0.00624523 #These don't change\n",
    "    B1 = -0.00737614\n",
    "    B2 = -0.01034100\n",
    "    B3 = -0.00817083\n",
    "    C0 = -0.000000488682\n",
    "    sal_ref = 0 #[PSU] This is always the case for Rinko sensors\n",
    "else:\n",
    "    print('Verify sensor information and calibration coefficients are correct!')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdafbe47-7fe1-4351-a587-fe5a687151d1",
   "metadata": {
    "tags": []
   },
   "source": [
    "# 2.0 Corrections applied to delayed mode data for this mission\n",
    "This document covers the following steps:\n",
    "1. Compensate for pressure and salinity effects\n",
    "2. Convert from concentration in $\\mu$mol/L to phase\n",
    "3. Determine the sensor response time lag correction\n",
    "4. Apply the sensor response time lag correction\n",
    "5. Convert from phase to concentration in $\\mu$mol/L\n",
    "6. Determine the optode drift correction\n",
    "7. Apply the optode drift correction"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa87a28f-c546-466d-b912-5f7549436122",
   "metadata": {},
   "source": [
    "## 2.1 Compensate for pressure and salinity effects\n",
    "\n",
    "The Rinko FT User's manual states that corrections must be applied for pressure and salinity effects to the dissolved oxygen concentration in 𝜇mol/L (oxygen_concentration).\n",
    "\n",
    "The pressure compensation factor is estimated as: \n",
    "p_factor = (|P| / 100) ⋅ Cp + 1;\n",
    "where P is the pressure from the CTD in dbars, and Cp is the calibration coefficient for pressure correction, listed on the calibration certificate for each sensor. \n",
    "\n",
    "The salinity compensation factor is estimated as:\n",
    "s_factor = exp\\[S ⋅ (B0 + B1 ⋅ Ts + B2 ⋅ Ts$^2$ + B3 ⋅ Ts$^3$) + C0 ⋅ S2\\];\n",
    "where S is the fully corrected salinity from the CTD in PSU, B0 to B3 and C0 are coefficients specified in the Rinko manual, Ts is the scaled temperature: Ts = ln\\[(298.15 - T) / (273.15 + T)\\]; and T is the temperature from the CTD in degrees Celsius. \n",
    "\n",
    "Unlike the Aanderaa sensors, the Rinko optodes apparently do not have an internal reference salinity. The manual states “Note that the physical value output of the instrument does not consider salinity and/or pressure.” This is equivalent to sal_ref = 0 for the purposes of the salinity compensation correction above. \n",
    "\n",
    "Then compensated oxygen concentration is calculated: \n",
    "oxygen_comp = oxygen_uncomp ⋅ s_factor ⋅ p_factor;\n",
    "\n",
    "The units of oxygen_comp are 𝜇mol/L. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5f44158f-5872-48ad-b7f9-be8755cadc85",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
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   "source": [
    "# First step: Salinity- and pressure- compensated oxygen corrections\n",
    "\n",
    "# pressure compensation, with pressure in dbars\n",
    "p_factor = 0.01*abs(ds.pressure)*Cp + 1\n",
    "\n",
    "# salinity compensation, using temperature from the CTD\n",
    "Ts = np.log((298.15-ds.temperature_adjusted)/(273.15+ds.temperature_adjusted))\n",
    "s_factor = np.exp((ds.salinity_adjusted - sal_ref) * (B0 + B1 * Ts + B2 * Ts * Ts + B3 * Ts * Ts * Ts) + C0 * (ds.salinity_adjusted * ds.salinity_adjusted - sal_ref * sal_ref))\n",
    "\n",
    "# compensated oxygen\n",
    "oxygen_comp = ds.oxygen_concentration * s_factor * p_factor  # uM\n",
    "\n",
    "# set any negative values to zero\n",
    "oxygen_comp[oxygen_comp < 0] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "402eedab-efe2-454e-82fb-3c43ec4397c2",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
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   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualizing the corrections\n",
    "fld = oxygen_comp[0:min([len(oxygen_comp), 100000])]\n",
    "dp = ds.pressure[0:min([len(fld), 100000])]\n",
    "tm = ds.time[0:min([len(fld), 100000])]\n",
    "fld_orig = ds.oxygen_concentration[0:min([len(fld), 100000])]\n",
    "sal = ds.salinity_adjusted[0:min([len(fld), 100000])]\n",
    "\n",
    "fig, ax = plt.subplots(2,2,constrained_layout=True, \n",
    "                            figsize=(10, 10))\n",
    "ax0 = ax[0,0]\n",
    "sc = ax0.scatter(tm[~np.isnan(fld)], dp[~np.isnan(fld)], s=25, c=fld_orig[~np.isnan(fld)], marker='s', vmin=0, vmax=350)\n",
    "cb0 = plt.colorbar(sc, ax=ax0, orientation='vertical', label='oxygen concentration [$\\mu$mol/L]')\n",
    "cb0.ax.tick_params(labelsize=12)\n",
    "ax0.set_title('oxygen, no corrections, [$\\mu$mol/L]')\n",
    "ax0.set_xlabel('Time [day of month]',fontsize=12)\n",
    "ax0.set_ylabel('Pressure [dbar]',fontsize=12)\n",
    "ax0.invert_yaxis()\n",
    "ax0.tick_params(labelsize=12)\n",
    "ax0.xaxis.set_major_formatter(mdates.DateFormatter('%d'))\n",
    "ax0.xaxis.set_tick_params(which='major', pad=10)\n",
    "\n",
    "ax1 = ax[0,1]\n",
    "sc = ax1.scatter(tm[~np.isnan(fld)], dp[~np.isnan(fld)], s=25, c=fld[~np.isnan(fld)]-fld_orig[~np.isnan(fld)], marker='s', vmin=-80, vmax=80)\n",
    "cb1 = plt.colorbar(sc, ax=ax1, orientation='vertical', label='P$_d$ - P [%]')\n",
    "cb1.ax.tick_params(labelsize=12)\n",
    "ax1.set_title('oxygen, DO$_{compensated}$ - DO$_{uncompensated}$, [$\\mu$mol/L]')\n",
    "ax1.set_xlabel('Time [day of month]',fontsize=12)\n",
    "ax1.set_ylabel('Pressure [dbar]',fontsize=12)\n",
    "ax1.invert_yaxis()\n",
    "ax1.tick_params(labelsize=12)\n",
    "ax1.xaxis.set_major_formatter(mdates.DateFormatter('%d'))\n",
    "ax1.xaxis.set_tick_params(which='major', pad=10)\n",
    "\n",
    "ax2 = ax[1,0]\n",
    "ax2.grid()\n",
    "ax2.scatter(fld_orig[~np.isnan(fld)], dp[~np.isnan(fld)],  s=1, c='gray', label='Uncompensated')\n",
    "sc = ax2.scatter(fld[~np.isnan(fld)], dp[~np.isnan(fld)], s=1, c='r', label='Compensated')\n",
    "ax2.legend()\n",
    "ax2.set_title('oxygen profiles')\n",
    "ax2.set_xlabel('Oxygen concentration [$\\mu$mol/L]',fontsize=12)\n",
    "ax2.set_ylabel('Pressure [dbar]',fontsize=12)\n",
    "ax2.invert_yaxis()\n",
    "ax2.tick_params(labelsize=12)\n",
    "ax2.xaxis.set_tick_params(which='major', pad=10)\n",
    "\n",
    "ax3 = ax[1,1]\n",
    "ax3.grid()\n",
    "ax3.scatter(fld_orig[~np.isnan(fld)], sal[~np.isnan(fld)], s=1, c='gray', label='Uncompensated')\n",
    "sc = ax3.scatter(fld[~np.isnan(fld)], sal[~np.isnan(fld)], s=1, c='r', label='Compensated')\n",
    "ax3.legend()\n",
    "ax3.set_title('salinity-oxygen diagram')\n",
    "ax3.set_xlabel('Oxygen concentration [$\\mu$mol/L]',fontsize=12)\n",
    "ax3.set_ylabel('Salinity',fontsize=12)\n",
    "ax3.tick_params(labelsize=12)\n",
    "ax3.xaxis.set_tick_params(which='major', pad=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d96cad1-dcda-4233-b0e6-c29f58b00a37",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 2.2 Convert oxygen concentration in $\\mu$molL$^{-1}$ to phase\n",
    "\n",
    "The uncalibrated phase (Phase) is the difference between the phase obtained when the foil is excited by Blue light and by Red light. These hexadecimal values are referred to as ‘AD values’, as opposed to calculated temperature and dissolved oxygen concentration, which are referred to as ‘Physical values’. \n",
    "\n",
    "The time response correction (5.1) is applied to the AD value of dissolved oxygen (AD value of DO), which is functionally equivalent to the calibrated phase. Then the dissolved oxygen concentration in 𝜇mol/L is calculated using the Stern-Volmer relationship proposed by Uchida et al., 2010:\n",
    "\n",
    "DO\\[$\\mu$mol/L\\] = {((1 + d0 ⋅ T)/(d1 + d2 ⋅ N + d3 ⋅ t + d4 ⋅ t ⋅ N))$^{e0}$ - 1} ⋅ {1/(c0 + c1⋅T + c2⋅T$^2$)}, \n",
    "\n",
    "where calibration coefficients c0, d0, e0 etc. are printed on the calibration certificate for that sensor, T is temperature, and N is the AD value of DO/10000. Typically e0 = 1 and d3 = d4 = 0, so that we do not require values of t, the LED accumulation time [s]. \n",
    " \n",
    "Our sensors are normally set to output dissolved oxygen concentration in 𝜇mol/L (oxygen_concentration), which is then converted to calibrated phase (AD value of DO) using the temperature measurement from the oxygen sensor, the time response correction is applied, and then the resulting field is converted back to DO[𝜇mol/L] using the fully corrected temperature measurement from the CTD. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "92124681-8143-4765-b5fb-53d0fa350226",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Second step: Convert from oxygen concentration to phase if phase not available\n",
    "\n",
    "# For Rinkos, we can use the relation from Uchida et al., 2010\n",
    "# P0/Pc = (1 + d0*T)/(d1 + d2*Pr), where d0 = c4/c3, d1 = c5/c3, and d2 = c6/c3.\n",
    "\n",
    "Ksv = c0 + (c1 * ds.temperature_adjusted) + (c2 * ds.temperature_adjusted * ds.temperature_adjusted)\n",
    "oxygen_phase = (((1 + d0 * ds.temperature_adjusted) / ((oxygen_comp * Ksv) + 1)) - d1) / d2\n",
    "field = 'phase'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "779c695a-7c45-402b-b930-442102640744",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualizing the corrections\n",
    "fld = oxygen_phase[0:min([len(oxygen_phase), 100000])]\n",
    "fld_orig = oxygen_comp[0:min([len(fld), 100000])]\n",
    "dp = ds.pressure[0:min([len(fld), 100000])]\n",
    "tm = ds.time[0:min([len(fld), 100000])]\n",
    "sal = ds.salinity_adjusted[0:min([len(fld), 100000])]\n",
    "\n",
    "fig, ax = plt.subplots(1,2,constrained_layout=True, \n",
    "                            figsize=(10, 5))\n",
    "ax0 = ax[0]\n",
    "sc = ax0.scatter(tm[~np.isnan(fld)], dp[~np.isnan(fld)], s=25, c=fld[~np.isnan(fld)], marker='s', vmin=1, vmax=5)\n",
    "cb0 = plt.colorbar(sc, ax=ax0, orientation='vertical', label='oxygen phase')\n",
    "cb0.ax.tick_params(labelsize=12)\n",
    "ax0.set_title('oxygen phase, compensated')\n",
    "ax0.set_xlabel('Time [day of month]',fontsize=12)\n",
    "ax0.set_ylabel('Pressure [dbar]',fontsize=12)\n",
    "ax0.invert_yaxis()\n",
    "ax0.tick_params(labelsize=12)\n",
    "ax0.xaxis.set_major_formatter(mdates.DateFormatter('%d'))\n",
    "ax0.xaxis.set_tick_params(which='major', pad=10)\n",
    "\n",
    "ax1 = ax[1]\n",
    "sc = ax1.scatter(tm[~np.isnan(fld)], dp[~np.isnan(fld)], s=25, c=fld_orig[~np.isnan(fld)], marker='s', vmin=0, vmax=350)\n",
    "cb1 = plt.colorbar(sc, ax=ax1, orientation='vertical', label='oxygen concentration [$\\mu$mol/L]')\n",
    "cb1.ax.tick_params(labelsize=12)\n",
    "ax1.set_title('oxygen concentration, compensated [$\\mu$mol/L]')\n",
    "ax1.set_xlabel('Time [day of month]',fontsize=12)\n",
    "ax1.set_ylabel('Pressure [dbar]',fontsize=12)\n",
    "ax1.invert_yaxis()\n",
    "ax1.tick_params(labelsize=12)\n",
    "ax1.xaxis.set_major_formatter(mdates.DateFormatter('%d'))\n",
    "ax1.xaxis.set_tick_params(which='major', pad=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6d57d91-0c5b-4d87-bcda-64c7c679befb",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 2.3 Determine the sensor reponse time lag correction\n",
    "The time response correction is applied to the calibrated optode phase (AD value of DO for Rinko sensors) to account for the slow sensor response time relative to the diving rate of the glider. \n",
    "\n",
    "Following Nicholson et al., 2008 and Howatt et al., 2018, a response time constant $\\tau$ is determined by minimizing the error between all measured upcast values vs. all measured downcast values. A first-order lag correction is determined by calculating $\\tau$ as in Fofonoff et al., 1974 based on the equation:\n",
    "\n",
    "$Phase_{true} = Phase_{measured} + \\tau ⋅ d/dt ⋅ Phase_{measured}$ where $Phase$ is the calibrated optode phase, ‘true’ is the true value and ‘measured’ is the measured value, and $d/dt$ indicates a first derivative w.r.t. time during a given upcast or downcast. Derivatives are calculated using a centered finite difference scheme after successive upcasts and downcasts are interpolated onto the same depth grid. To avoid large derivatives caused by points at the start and end of individual profiles, any $dt$ value greater than one standard deviation from the mean is excluded from the calculation. \n",
    "\n",
    "Then a least squares linear regression is performed on the following equation:\n",
    "$Phase_{measured}^{upcast} -Phase_{measured}^{downcast} = - \\tau ⋅ (d/dt ⋅ Phase_{measured}^{upcast} - d/dt ⋅ Phase_{measured}^{downcast})$ \n",
    "\n",
    "which assumes that successive upcasts and downcasts are identical.\n",
    "\n",
    "Expected ranges for the response time constant for each type of sensor are provided in Bittig et al., 2014. For our Rinko sensors, the calculated value of $\\tau$ is expected to fall in the range 1 to 3 seconds. If the calculated response time constant falls outside of these ranges, manual inspection of the mission data is required to determine the cause. \n",
    "\n",
    "Given the rapid response time of Rinko sensors, it is expected that $\\tau$ may be too small to necessitate applying a time lag correction. We verify this below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "25424d35-b9ad-4dfd-a314-40ef4a5910e8",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Grouping upcasts and downcasts, stand by.\n",
      "Grouping upcasts and downcasts complete.\n"
     ]
    }
   ],
   "source": [
    "# Third step: Compare upcasts and downcasts to estimate time lag tau\n",
    "# This step calculates the sensor response time lag using a least squares \n",
    "# regression on the whole timeseries. \n",
    "\n",
    "if field == 'phase':\n",
    "    field_oxy = oxygen_phase\n",
    "else:\n",
    "    field_oxy = ds.oxygen_concentration\n",
    "\n",
    "dz_mean = np.nanmean(np.abs(np.diff(ds.depth))) # average distance between samples in depth \n",
    "\n",
    "# calculate tau based on whole timeseries\n",
    "\n",
    "#set up fields\n",
    "upcast_field_interp = np.array([])\n",
    "downcast_field_interp = np.array([])\n",
    "upcast_time_interp = np.array([])#.astype(\"datetime64[s]\")\n",
    "downcast_time_interp = np.array([])#.astype(\"datetime64[s]\")\n",
    "z_full = np.array([])\n",
    "i_bad = np.array([])\n",
    "\n",
    "#set up variables we'll need \n",
    "dst = ds.copy()\n",
    "dst['field_oxy'] = field_oxy #oxygen data\n",
    "dst['pind'] = dst['pind'].astype('int') #profile index\n",
    "dst['profile_direction'] = dst['profile_direction'].astype('int') #profile direction\n",
    "\n",
    "#group the upcasts and downcasts\n",
    "ds_group = dst.groupby('profile_direction')\n",
    "upcasts = ds_group[-1]\n",
    "downcasts = ds_group[1]\n",
    "print('Grouping upcasts and downcasts, stand by.')\n",
    "\n",
    "#ensure each downcast has a matching upcast\n",
    "downcast_index = np.unique(downcasts.profile_index[np.isin(downcasts.profile_index, \n",
    "                                                           upcasts.profile_index-1, assume_unique=False)]).astype('int')\n",
    "print('Grouping upcasts and downcasts complete.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bf98900f-f27e-4a32-ba43-ae9fef34c130",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Interpolating fields.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|████████████████████████████████████████████████████████████████████████████████| 445/445 [00:07<00:00, 56.45it/s]\n"
     ]
    }
   ],
   "source": [
    "#Interpolate the upcasts and downcasts to a consistent depth grid\n",
    "\n",
    "print('Interpolating fields.')\n",
    "for i in tqdm.tqdm(downcast_index):\n",
    "    p=i\n",
    "    dive_ind = np.where(downcasts.profile_index==p) #index of the downcast\n",
    "    downcast_field = downcasts.field_oxy[dive_ind] #oxygen for the downcast\n",
    "    downcast_z = downcasts.depth[dive_ind] #depth for the downcast\n",
    "    downcast_time = downcasts.time[dive_ind] #time for the downcast\n",
    "\n",
    "    # upcast\n",
    "    climb_ind = np.where(upcasts.profile_index==p+1) #index of the upcast\n",
    "    upcast_field = upcasts.field_oxy[climb_ind] #oxygen for the upcast\n",
    "    upcast_z = upcasts.depth[climb_ind] #depth for the upcast\n",
    "    upcast_time = upcasts.time[climb_ind] #time for the upcast\n",
    "\n",
    "    # new depth array\n",
    "    z_target = np.arange(np.nanmax([downcast_z[0], upcast_z[-1]]), np.nanmin([downcast_z[-1], upcast_z[0]]), dz_mean)\n",
    "\n",
    "    try:\n",
    "        # getting rid of any repeats in the depth\n",
    "        upcast_z,I,_ = np.unique(upcast_z, return_index=True, return_counts=True) \n",
    "        upcast_field = upcast_field[I]\n",
    "        upcast_time = upcast_time[I]\n",
    "        downcast_z,I,_ = np.unique(downcast_z, return_index=True, return_counts=True)\n",
    "        downcast_field = downcast_field[I]\n",
    "        downcast_time = downcast_time[I]\n",
    "\n",
    "        # interpolating upast and downcast to same depth grid\n",
    "        upcast_field_interp = np.append(upcast_field_interp, np.interp(z_target, upcast_z[~np.isnan(upcast_z)], upcast_field[~np.isnan(upcast_z)]))\n",
    "        downcast_field_interp = np.append(downcast_field_interp, np.interp(z_target, downcast_z[~np.isnan(downcast_z)], downcast_field[~np.isnan(downcast_z)]))\n",
    "\n",
    "        # interpolate time to same grid            \n",
    "        var_non_nan = upcast_time.values[~np.isnan(upcast_z)].astype(\"datetime64[s]\")\n",
    "        us_since_1970 = (var_non_nan - np.datetime64(\"1970-01-01\").astype(\"datetime64[s]\")).astype(np.int64) \n",
    "        time_int = np.interp(z_target, upcast_z[~np.isnan(upcast_z)], us_since_1970)\n",
    "        upcast_time_interp = np.append(upcast_time_interp, time_int)          \n",
    "\n",
    "        var_non_nan = downcast_time.values[~np.isnan(downcast_z)].astype(\"datetime64[s]\")\n",
    "        us_since_1970 = (var_non_nan - np.datetime64(\"1970-01-01\").astype(\"datetime64[s]\")).astype(np.int64)\n",
    "        time_int = np.interp(z_target, downcast_z[~np.isnan(downcast_z)], us_since_1970)\n",
    "        downcast_time_interp = np.append(downcast_time_interp, time_int)           \n",
    "\n",
    "        # depth array to go with timeseries\n",
    "        z_full = np.append(z_full, z_target)\n",
    "\n",
    "    except Exception as e:\n",
    "        raise e\n",
    "        i_bad = np.append(i_bad, i)\n",
    "\n",
    "        #filling bad tries with NaN\n",
    "        upcast_field_interp = np.append(upcast_field_interp, np.nan*np.zeros(len(z_target)))\n",
    "        downcast_field_interp = np.append(downcast_field_interp, np.nan*np.zeros(len(z_target)))\n",
    "\n",
    "        upcast_time_interp = np.append(upcast_time_interp, np.nan*np.zeros(len(z_target)))\n",
    "        downcast_time_interp = np.append(downcast_time_interp, np.nan*np.zeros(len(z_target)))\n",
    "\n",
    "        z_full = np.append(z_full, z_target)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "63334eee-6b16-43f6-9a80-ec7ad25825c2",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Quick visualization to ensure interpolated fields look reasonable\n",
    "\n",
    "fld = upcast_field_interp[:min(len(ds['oxygen_concentration']), 100000)]\n",
    "dp = z_full[0:min([len(ds['oxygen_concentration']), 100000])]\n",
    "tm = upcast_time_interp[0:min([len(ds['oxygen_concentration']), 100000])].astype(\"timedelta64[s]\") + np.datetime64(\"1970-01-01\").astype(\"datetime64[s]\")\n",
    "fig, ax = plt.subplots()\n",
    "vmin = 1\n",
    "vmax = 5\n",
    "sc = ax.scatter(tm[~np.isnan(fld)], dp[~np.isnan(fld)], s=25, c=fld[~np.isnan(fld)], marker='s', cmap='viridis', vmin=vmin, vmax=vmax)\n",
    "cb = plt.colorbar(sc, ax=ax, orientation='vertical', label='oxygen upcasts')\n",
    "cb.ax.tick_params(labelsize=12)\n",
    "ax.set_title('fld = oxygen upcasts, interpolated')\n",
    "ax.set_xlabel('Time [day of month]',fontsize=12)\n",
    "ax.set_ylabel('Depth [m]',fontsize=12)\n",
    "ax.invert_yaxis()\n",
    "ax.tick_params(axis='both', labelsize=12)\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%d'))\n",
    "ax.xaxis.set_tick_params(which='major', pad=10)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2e5b430-75d6-4ad0-85c5-2a81e856839e",
   "metadata": {},
   "source": [
    "Now we use the upcasts and downcasts that have been interpolated to a regular depth grid to estimate $\\tau$ using least-squares regression applied to the entire time series. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "abc2b804-319d-4d93-9b7d-131dcbf05ff8",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sensor response lag coefficient [in seconds] tau = 0.3900298432008188\n",
      "99th percentile significance = 0.17794354502764664\n",
      "R-value for the linear regression = -0.048271998224472305\n"
     ]
    }
   ],
   "source": [
    "# Determining tau from least-squares regression\n",
    "up_field = upcast_field_interp.copy()\n",
    "dn_field = downcast_field_interp.copy()\n",
    "\n",
    "# Mask out bad data points with very small or very large dt values using a threshold\n",
    "# don't want to include samples spaced apart by more than one standard deviation from the mean dt \n",
    "# shouldn't have any samples with less than 0.1 secs between them\n",
    "\n",
    "#Upcasts\n",
    "upcast_time_secs = upcast_time_interp\n",
    "thrs = np.abs(np.gradient(upcast_time_secs)) > (np.nanmean(np.abs(np.gradient(upcast_time_secs))) + \n",
    "                                                np.nanstd(np.abs(np.gradient(upcast_time_secs))))\n",
    "tlow = np.abs(np.gradient(upcast_time_secs)) < 0.1 \n",
    "up_field[thrs] = np.nan\n",
    "up_field[tlow] = np.nan\n",
    "\n",
    "#Downcasts\n",
    "downcast_time_secs = downcast_time_interp\n",
    "thrs = np.abs(np.gradient(downcast_time_secs)) > (np.nanmean(np.abs(np.gradient(downcast_time_secs))) + \n",
    "                                                  np.nanstd(np.abs(np.gradient(downcast_time_secs))))\n",
    "tlow = np.abs(np.gradient(downcast_time_secs)) < 0.1 \n",
    "dn_field[thrs] = np.nan\n",
    "dn_field[tlow] = np.nan\n",
    "\n",
    "# Centered difference derivative wrt time\n",
    "ind = ((~np.isnan(up_field)) & (~np.isnan(dn_field))).astype(\"bool\") #find NaN values\n",
    "dFdt_upcast = np.gradient(up_field[ind], upcast_time_secs[ind], edge_order=2)\n",
    "dFdt_downcast = np.gradient(dn_field[ind], downcast_time_secs[ind], edge_order=2)\n",
    "\n",
    "# Regression to find tau\n",
    "ind_fit = ((~np.isnan(up_field[ind])) & (~np.isnan(dn_field[ind])) & (~np.isnan(dFdt_upcast)) & (~np.isnan(dFdt_downcast))).astype(\"bool\")\n",
    "y = up_field[ind][ind_fit] - dn_field[ind][ind_fit]\n",
    "x = dFdt_upcast[ind_fit] - dFdt_downcast[ind_fit]\n",
    "slope, intercept, r_value, p_value, std_err = stats.linregress(x,y)\n",
    "\n",
    "tau = -slope\n",
    "tau_99int = 2.58*std_err #The 99th percentile significance\n",
    "\n",
    "print('Sensor response lag coefficient [in seconds] tau =', tau)\n",
    "print('99th percentile significance =', tau_99int)\n",
    "print('R-value for the linear regression =', r_value)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65248cf1-c810-4aa4-9284-6f81146b5ba8",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 2.4 Apply the sensor response time lag correction\n",
    "\n",
    "The value of $\\tau$ = 0.4$\\pm$0.2s is small as expected, given the 1s response time of the sensor. We note that the least squares fit had a relatively low R-value, suggesting that the upcasts and downcasts were not offset by a consistent amount throughout the time series. Given this, and the small offset, we elect not to apply a sensor reponse time lag correction. This choice additionally avoids applying the smoothing and filter required for this correction, better preserving the signals in the data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "229233c3-8617-4c38-8571-280b59da63c3",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Confirm the upcasts and downcasts are not offset by a significant amount\n",
    "\n",
    "fld = oxygen_comp[0:min([len(oxygen_comp), 100000])]\n",
    "dp = ds.pressure[0:min([len(fld), 100000])]\n",
    "sal = ds.salinity_adjusted[0:min([len(fld), 100000])]\n",
    "\n",
    "#Plotting\n",
    "fig, ax = plt.subplots(1, 2, constrained_layout=True, figsize=(10, 5))\n",
    "\n",
    "ax0 = ax[0]\n",
    "ind = np.where(ds.profile_direction.values[0:min([len(oxygen_comp), 100000])] == 1)[0]\n",
    "ax0.scatter(fld[ind], dp[ind], s=1, c='b', label='downcasts')\n",
    "ind = np.where(ds.profile_direction.values[0:min([len(oxygen_comp), 100000])] == -1)[0]\n",
    "ax0.plot(fld[ind], dp[ind], 'r.', markersize=1, label='upcasts')\n",
    "ax0.set_ylabel('Pressure [dbar]',fontsize=12)\n",
    "ax0.set_xlabel('Oxygen concentration [$\\mu$mol/L]',fontsize=12)\n",
    "ax0.invert_yaxis()\n",
    "ax0.tick_params(labelsize=12)\n",
    "ax0.xaxis.set_tick_params(which='major', pad=10)\n",
    "ax0.grid()\n",
    "ax0.legend()\n",
    "\n",
    "ax1 = ax[1]\n",
    "ind = np.where(ds.profile_direction.values[0:min([len(oxygen_comp), 100000])] == 1)[0]\n",
    "ax1.scatter(fld[ind], sal[ind], s=1, c='b', label='downcasts')\n",
    "ind = np.where(ds.profile_direction.values[0:min([len(oxygen_comp), 100000])] == -1)[0]\n",
    "ax1.plot(fld[ind], sal[ind], 'r.', markersize=1, label='upcasts')\n",
    "ax1.set_ylabel('Salinity',fontsize=12)\n",
    "ax1.set_xlabel('Oxygen concentration [$\\mu$mol/L]',fontsize=12)\n",
    "ax1.tick_params(labelsize=12)\n",
    "ax1.xaxis.set_tick_params(which='major', pad=10)\n",
    "ax1.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf1f4418-756b-47f2-af96-b726dfeaf30a",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 2.5 Convert from phase to oxygen concentration in $\\mu$mol/L\n",
    "\n",
    "Given that we are not applying a time response correction, we use 'oxygen_comp' (oxygen concentration in $\\mu$mol/L) for the next step in the processing.  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdfbbbfa-9816-4c51-bdb6-97b983eb69e1",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 2.6 Determine the optode drift correction\n",
    "\n",
    "The sensor drift correction is applied to the time-response corrected, compensated dissolved oxygen concentration data 'DO' to account for the tendency of oxygen optodes to drift over time as the sensor ages. Although drift increases as a function of the number of samples collected, sensors tend to drift more quickly during storage than while in the field by about a factor of 10. \n",
    "\n",
    "The sensor drift correction attempts to correct for the drift that does occur by comparing the oxygen optode data to a trustworth profile of dissolved oxygen concentration measurements collected nearby in space and time. Ideally, this comparison would be with Winkler titrated bottle samples collected at the same time and location as one of the glider’s dives. In practice, a hierarchy of ‘trustworthy’ data sources is used, within some chosen tolerance for distance and time from the glider’s sampling locations. \n",
    "\n",
    "The drift correction itself is a linear adjustment applied to DO\\[$\\mu$mol/kg\\] with slope p1 and intercept p2: \n",
    "\n",
    "oxygen_concentration_adjusted \\[$\\mu$mol/kg\\] = p1 DO\\[$\\mu$mol/kg\\] + p2\n",
    "\n",
    "Following Bittig et al., 2018, the drift is characterized by a reduced sensor response plus a small offset in the opposite direction. The slope should be positive, and within about 10\\% of unity. The intercept should be within a few \\[$\\mu$mol/kg\\] of zero and negative. In practice, the correction is determined with the intercept set to zero a priori. We have found that an intercept of zero typically produces better agreement in the near-surface mixed layer and in deep water, the most appropriate segments of the water column for comparison. \n",
    "\n",
    "If the slope is too large, the comparison may be rejected. It is expected that the drift for an individual sensor will increase with time (though not linearly). If this is not the case, or if a sudden large increase in drift is detected, the comparison should be re-evaluated and/or the sensor should be examined. \n",
    "\n",
    "To determine the drift correction, a least-squares fit is performed in density space between all of the suitable comparison profiles and the associated glider optode measurements. The glider profiles to be used are bin-averaged to the densities associated with the oxygen measurements from the comparison profile, with a bin size of +/-0.1 kg/m$^3$ (which can be adjusted higher if needed). The linear least-squares fit is applied to the binned oxygen optode measurements from the glider vs. the measurements from the comparison profile. The associated correlation coefficient for the fit is expected to be above r$^2$ = 0.95, and in practice is often above r$^2$ = 0.99.\n",
    "\n",
    "Note that potential density is used, not in-situ density, since a given volume of water may move vertically by a significant amount due to isopycnal heaving, and we wish to remove this effect from the comparison. The portion of the profiles that is within the pycnocline is excluded from the comparison by visually identifying a depth at the base of the pycnocline and retaining only data below it, as well as data in the very near surface that will be close to the saturation value. \n",
    "\n",
    "The goodness of fit is evaluated by examining the agreement between the deep and shallow drift-corrected glider oxygen measurements with those from the comparison profile. For the shallowest measurements, the saturation value of oxygen at the comparison profile location is calculated and used to provide context for the expected near-surface oxygen concentration values. \n",
    "\n",
    "Finally, the linear sensor drift correction is applied to the DO measurements (not to the data binned by density). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "073c92a4-96b5-4c46-a34e-968584093495",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The bottom depth for the profile is 340.5516927727668\n",
      "0      10.589015\n",
      "1      14.465154\n",
      "2      13.972526\n",
      "3      12.723630\n",
      "4      10.756420\n",
      "         ...    \n",
      "340     6.559381\n",
      "341     6.560354\n",
      "342     6.560343\n",
      "343     6.561572\n",
      "344     6.559331\n",
      "Name: Temperature_deg_C, Length: 345, dtype: float64\n",
      "0      29.205926\n",
      "1      24.208437\n",
      "2      24.628990\n",
      "3      25.838841\n",
      "4      29.081432\n",
      "         ...    \n",
      "340    33.468548\n",
      "341    33.468298\n",
      "342    33.468869\n",
      "343    33.469882\n",
      "344    33.471724\n",
      "Name: Salinity_PSU, Length: 345, dtype: float64\n",
      "0      6.421493\n",
      "1      7.760983\n",
      "2      6.765847\n",
      "3      6.237454\n",
      "4      5.886524\n",
      "         ...   \n",
      "340    2.149293\n",
      "341    2.150012\n",
      "342    2.150024\n",
      "343    2.148985\n",
      "344    2.147897\n",
      "Name: Dissolved_O2_mLL, Length: 345, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "import re\n",
    "import pandas as pd\n",
    "\n",
    "# Sixth step: determine sensor drift by comparison with in-situ Winkler calibrated profiles, in potential density space\n",
    "# Part 1: LOAD THE COMPARISON DATA\n",
    "\n",
    "#Comparison with Hakai CTD cast or DFO bottle samples\n",
    "#For each file:\n",
    "org = 'hak'; #Specify if file is from Hakai (hak) or DFO (dfo)\n",
    "\n",
    "if org == 'hak':\n",
    "    df = pd.read_excel(f'{deploy_prefix}/8_binAvg_192732_Winkler.xlsx', sheet_name='Data')\n",
    "    df.columns = [c.replace(' ', '_') for c in df.columns]\n",
    "    df.columns = [c.replace('(', '') for c in df.columns]\n",
    "    df.columns = [c.replace(')', '') for c in df.columns]\n",
    "    df.columns = [c.replace('/', '') for c in df.columns]\n",
    "    print(f'The bottom depth for the profile is {df.Bottom_depth_m[0]}')\n",
    "    #print(list(df))\n",
    "\n",
    "    lonH = df.Longitude[0]\n",
    "    latH = df.Latitude[0]\n",
    "    timeH = df.Measurement_time[0]\n",
    "    depthH = df.Depth_m\n",
    "\n",
    "    TH = df.Temperature_deg_C\n",
    "    SH = df.Salinity_PSU\n",
    "    PH = df.Pressure_dbar\n",
    "    OH = df.Dissolved_O2_mLL\n",
    "    \n",
    "    df2 = pd.read_excel(f'{deploy_prefix}/8_binAvg_192732_Winkler.xlsx', sheet_name='Winkler')\n",
    "    df2.columns = [c.replace(' ', '_') for c in df2.columns]\n",
    "    df2.columns = [c.replace('(', '') for c in df2.columns]\n",
    "    df2.columns = [c.replace(')', '') for c in df2.columns]\n",
    "    df2.columns = [c.replace('/', '') for c in df2.columns]\n",
    "    df2.columns = [c.replace('[', '') for c in df2.columns]\n",
    "    df2.columns = [c.replace(']', '') for c in df2.columns]\n",
    "    #print(list(df2))\n",
    "\n",
    "    depthH2 = df2.Actual_Niskin_Depth_m\n",
    "\n",
    "    TH2 = df2.Sampling_T_deg_C\n",
    "    SH2 = df2.Sampling_S_PSU\n",
    "    OH2 = df2.DO_mLL\n",
    "\n",
    "print(TH)\n",
    "print(SH)\n",
    "print(OH)\n",
    "RH = seawater.eos80.dens(SH, TH, PH)\n",
    "RH0 = seawater.eos80.dens0(SH, TH)\n",
    "OH = [val * 44.661 for val in OH]  # Convert units to umol/L\n",
    "\n",
    "RH02 = seawater.eos80.dens0(SH2, TH2)\n",
    "OH2 = [val * 44.661 for val in OH2]  # Convert units to umol/L"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcc22f01-3786-4dfe-90c7-952109326056",
   "metadata": {},
   "source": [
    "For this mission, two comparison profiles are available: 1) A profile of Winkler-titrated bottle samples collected by the Hakai Institute at the time of glider recovery in Hakai Pass and 2) A profile using an oxygen sensor on a lowered CTD, also collected by the Hakai Institute at the time of glider recovery. We examine both these profiles compared to the available glider data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "aa23b2e5-049d-4b82-b147-9852b45aa52e",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualize the comparison profile\n",
    "fig, ax = plt.subplots(1,2,constrained_layout=True, \n",
    "                            figsize=(8, 4))\n",
    "\n",
    "ax[0].plot(SH,TH,'r.', markersize=1, label='CTD cast')\n",
    "ax[0].plot(SH2,TH2,'*r', label='Winkler samples')\n",
    "ax[0].grid()\n",
    "ax[0].set_title('Comparison profile T-S diagram')\n",
    "ax[0].set_xlabel('Salinity',fontsize=12)\n",
    "ax[0].set_ylabel('Temperature [$^o$C]',fontsize=12)\n",
    "ax[0].tick_params(labelsize=12)\n",
    "ax[0].legend()\n",
    "\n",
    "ax[1].plot(RH0,OH,'r.', markersize=1)\n",
    "ax[1].plot(RH02,OH2,'*r')\n",
    "ax[1].grid()\n",
    "ax[1].set_title('Comparison profile Oxygen-Pot density')\n",
    "ax[1].set_xlabel('Potential density [kg/m$^3$]',fontsize=12)\n",
    "ax[1].set_ylabel('Oxygen [$\\mu$mol/L]',fontsize=12)\n",
    "ax[1].tick_params(labelsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14897a08-0bd1-4a37-8f36-fbe936d3c4da",
   "metadata": {},
   "source": [
    "We see good agreement between the comparison profile from the oxygen sensor used during the CTD cast and the Winkler bottle samples, with the exception of the densest, deepest water. For the deepest Winkler sample, it appears that the bottle salinity is quite different from that measured by the CTD, which affects the oxygen agreement in potential density space as well. We now compare to the available glider data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "175a2216-cad0-4c0c-99f4-ae05d0b961ae",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Compare to closest time and location\n",
    "# Find closest glider profiles in time and space \n",
    "\n",
    "# Set a depth cutoff based on the depth of the comparison profile\n",
    "zmax = 250 #Glider profile must extend deeper than this for comparison\n",
    "\n",
    "# Set up glider fields for comparison\n",
    "OO = oxygen_comp\n",
    "dens = ds.longitude.copy()*np.nan\n",
    "dens[:] = seawater.eos80.dens(ds.salinity_adjusted, ds.temperature_adjusted, ds.pressure)\n",
    "dens0 = seawater.eos80.dens0(ds.salinity_adjusted, ds.temperature_adjusted)\n",
    "lon = ds.longitude.values\n",
    "lat = ds.latitude.values\n",
    "\n",
    "#Calculate the distance between the comparison profile and each ocean glider profile\n",
    "dist = np.empty_like(ds.longitude.values)*np.nan\n",
    "p_ind = np.unique(ds.profile_index)\n",
    "for i, p in enumerate(p_ind[p_ind>0]):\n",
    "    if ~np.isnan(p):\n",
    "        dist[ds.profile_index.values==p] = seawater.dist([np.nanmean(lon[ds.profile_index.values==p]), lonH], \n",
    "                                                         [np.nanmean(lat[ds.profile_index.values==p]), latH], units='km')[0][0]\n",
    "        if np.nanmax(ds.depth[ds.profile_index.values==p])<zmax:\n",
    "            dist[ds.profile_index.values==p] = dist[ds.profile_index.values==p]*np.nan\n",
    "            \n",
    "#Store fields in a new xarray for comparison \n",
    "ds_tmp = ds.copy(deep=True)\n",
    "ds_tmp['dist'] = ('time', dist)\n",
    "ds_tmp['oxy_cor'] = oxygen_comp\n",
    "ds_tmp['dens'] = dens\n",
    "ds_tmp['dens0'] = ('time', dens0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bc622f7a-399a-4bc4-9785-e4f40f2e6886",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,2,constrained_layout=True, \n",
    "                            figsize=(8, 4))\n",
    "\n",
    "ax[0].plot(ds.time,ds.longitude,'.',label='glider')\n",
    "ax[0].plot(pd.to_datetime(timeH),lonH,'r*',label='comparison profile')\n",
    "ax[0].grid()\n",
    "ax[0].set_title('glider longitude through time')\n",
    "ax[0].tick_params(axis='x',rotation=70)\n",
    "ax[0].set_xlabel('Date',fontsize=12)\n",
    "ax[0].set_ylabel('longitude [$^o$W]',fontsize=12)\n",
    "ax[0].tick_params(labelsize=12)\n",
    "ax[0].legend()\n",
    "\n",
    "ax[1].plot(ds.time,ds.latitude,'.')\n",
    "ax[1].plot(pd.to_datetime(timeH),latH,'r*')\n",
    "ax[1].grid()\n",
    "ax[1].set_title('glider latitude through time')\n",
    "ax[1].tick_params(axis='x',rotation=70)\n",
    "ax[1].set_xlabel('Date',fontsize=12)\n",
    "ax[1].set_ylabel('longitude [$^o$W]',fontsize=12)\n",
    "ax[1].tick_params(labelsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4bfe244f-b6df-4773-b3bd-0b61b2978d9b",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of glider profiles available for comparison 2\n",
      "Profile indices of profile(s) available for comparison [893.  nan]\n"
     ]
    }
   ],
   "source": [
    "#Pull out a small amount of glider data for comparison\n",
    "min_dist = 0.5 # This is how close the profile must be in km\n",
    "min_time = 1 # 2 x min_time is how close the profile must be in days\n",
    "\n",
    "dist_tmp = ds_tmp.where(ds_tmp.dist<(ds_tmp.dist.min(skipna=True)+min_dist))\n",
    "time_lower = pd.to_datetime(timeH) - timedelta(days=min_time)\n",
    "time_upper = pd.to_datetime(timeH) + timedelta(days=min_time)\n",
    "tmp_sub = dist_tmp.sel(time=slice(time_lower,time_upper))\n",
    "\n",
    "print('Number of glider profiles available for comparison', len(np.unique(tmp_sub.profile_index)))\n",
    "print('Profile indices of profile(s) available for comparison', np.unique(tmp_sub.profile_index))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "73c7e3df-1099-4181-9655-f5f46ef51f48",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x20f0daab690>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting the coordinates\n",
    "ind = tmp_sub.profile_index == 893\n",
    "lon_fin = tmp_sub.longitude.values[ind]\n",
    "lat_fin = tmp_sub.latitude.values[ind]\n",
    "plt.figure(figsize=(8,3))\n",
    "plt.plot(lon, lat, '.', label='All glider profiles')\n",
    "plt.plot(lon_fin, lat_fin, 'ok', label='Glider profiles for comparison')\n",
    "plt.plot(lonH, latH, 'r*', label='Comparison profile')\n",
    "plt.ylabel('latitude [$^o$W]',fontsize=12)\n",
    "plt.xlabel('longitude [$^o$W]',fontsize=12)\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "\n",
    "# Plotting the data\n",
    "fig, axs = plt.subplots(1, 2, figsize=(8,4))\n",
    "\n",
    "axs[0].plot(tmp_sub.oxy_cor.values[ind], tmp_sub.depth.values[ind], 'k.-', label='Glider profile')\n",
    "axs[0].plot(OH, depthH, 'r.', markersize=1, label='Comparison profile CTD')\n",
    "axs[0].plot(OH2, depthH2, 'r*', label='Comparison profile Winkler')\n",
    "axs[0].set_ylim(400,0)\n",
    "axs[0].set_ylabel('depth [m]',fontsize=12)\n",
    "axs[0].set_xlabel('oxygen [$\\mu$mol/L]',fontsize=12)\n",
    "axs[0].grid()\n",
    "axs[0].legend()\n",
    "\n",
    "axs[1].plot(tmp_sub.oxy_cor.values[ind], tmp_sub.dens0.values[ind], 'k.-', label='Glider profile')\n",
    "axs[1].plot(OH, RH0, 'r.', markersize=1, label='Comparison profile CTD')\n",
    "axs[1].plot(OH2, RH02, 'r*', label='Comparison profile Winkler')\n",
    "axs[1].set_ylim(1020,1027)\n",
    "axs[1].set_ylabel('potential density [kg/m$^3$]',fontsize=12)\n",
    "axs[1].set_xlabel('oxygen [$\\mu$mol/L]',fontsize=12)\n",
    "axs[1].grid()\n",
    "axs[1].legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47df3315-80d5-45fc-93ff-f68b2be060b9",
   "metadata": {},
   "source": [
    "The comparison profile was collected at the time of glider recovery, during the final glider profile, and includes high-quality Winkler-titrated bottle samples as well as the profile collected by the oxygen sensor attached to the CTD. Given the agreement between the Winkler samples and the oxygen from the CTD profile, and given the small number of Winkler samples available for comparison, we determine the correction to the glider using the oxygen sensor data. \n",
    "\n",
    "We compare to the last full-depth glider profile collected, and determine the comparison using all available data, not restricting the densities. There is a slight offset from the glider oxygen profile visible in density space, which is what we expect to correct."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "823fdbd3-6942-44e3-b0ee-49a7f11fd79f",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Select desired glider profile for comparison\n",
    "prof_ind = ind #index of the profile you want\n",
    "tmp_sub = tmp_sub.where(prof_ind)\n",
    "\n",
    "#Set up your density limits and bins\n",
    "rho_low = 1020\n",
    "rho_high = 1027\n",
    "\n",
    "#Choose cutoff densities and apply to comparison profile\n",
    "rho_cut = np.logical_and(RH0>=rho_low, RH0<=rho_high)\n",
    "rbin = RH0[rho_cut] #potential density\n",
    "obin = np.array(OH)[rho_cut]\n",
    "\n",
    "#Bin glider data to bottle data densities with a tolerance of +/-tol kg/m3\n",
    "tol = 0.2 #tolerance (as small as possible while avoiding gaps)\n",
    "RRr = np.nan * np.zeros((len(rbin),)) #potential density\n",
    "OOr = np.nan * np.zeros((len(rbin),))\n",
    "PPr = np.nan * np.zeros((len(rbin),))\n",
    "\n",
    "for j in range(len(rbin)):\n",
    "    RRr[j] = np.nanmean(tmp_sub.dens0[np.logical_and(tmp_sub.dens0>=(rbin[j]-tol), tmp_sub.dens0<(rbin[j]+tol))])\n",
    "    OOr[j] = np.nanmean(tmp_sub.oxy_cor[np.logical_and(tmp_sub.dens0>=(rbin[j]-tol), tmp_sub.dens0<(rbin[j]+tol))])\n",
    "    PPr[j] = np.nanmean(tmp_sub.pressure[np.logical_and(tmp_sub.dens0>=(rbin[j]-tol), tmp_sub.dens0<(rbin[j]+tol))])\n",
    "\n",
    "#Set up the fields to compare, converting to umol/kg using potential density\n",
    "fldg = (OOr/RRr*1000) #Glider profile\n",
    "fldH = (obin/rbin*1000) #Comparison profile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "f2f039f5-cb13-492a-837d-0cb8d74d4244",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x20f0d7cdc10>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check that the binning worked properly\n",
    "fig, axs = plt.subplots(1, 2, figsize=(10,5))\n",
    "\n",
    "axs[0].plot(obin, rbin, 'r.', label='Binned comparison profile')\n",
    "axs[0].plot(OH, RH0, '.', color='darkred', \n",
    "            markersize=2, label='Unbinned comparison profile')\n",
    "axs[0].set_ylabel('Potential density [kg/m$^3$]') \n",
    "axs[0].set_xlabel('Oxygen concentration [$\\mu$mol L$^{-1}$]')\n",
    "axs[0].set_ylim(1022,1027) \n",
    "axs[0].grid()\n",
    "axs[0].legend()\n",
    "\n",
    "axs[1].plot(OOr, RRr, 'k.', label='Binned glider profile')\n",
    "axs[1].plot(tmp_sub.oxy_cor.values[ind], tmp_sub.dens0.values[ind], '.', \n",
    "            color='darkgray', markersize=2, label='Unbinned glider profile')\n",
    "axs[1].set_ylabel('Potential density [kg/m$^3$]') \n",
    "axs[1].set_xlabel('Oxygen concentration [$\\mu$mol L$^{-1}$]')\n",
    "axs[1].set_ylim(1022,1027) \n",
    "axs[1].grid()\n",
    "axs[1].legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ae3e41b1-b472-48cf-bc68-dff77e0de5a1",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the data\n",
    "fig, axs = plt.subplots(1, 2, figsize=(10,5))\n",
    "\n",
    "axs[0].plot(fldg, RRr, 'k.-', label='Binned glider profile')\n",
    "axs[0].plot(fldH, rbin, 'ro-', label='Binned comparison profile')\n",
    "axs[0].set_ylabel('Potential density [kg/m$^3$]') \n",
    "axs[0].set_xlabel('Oxygen concentration [$\\mu$mol kg$^{-1}$]')\n",
    "axs[0].set_ylim(1022,1027) \n",
    "axs[0].grid()\n",
    "axs[0].legend()\n",
    "\n",
    "axs[1].plot(fldg, fldH, 'ko')\n",
    "axs[1].plot((0, 300), (0, 300), 'k-')\n",
    "axs[1].set_ylabel('Oxygen comparison profile [$\\mu$mol kg$^{-1}$]') \n",
    "axs[1].set_xlabel('Oxygen glider profile [$\\mu$mol kg$^{-1}$]')\n",
    "axs[1].grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d82100cb-755d-4566-b982-f5e22a453422",
   "metadata": {},
   "source": [
    "We now apply a least-squares fit between the two profiles in isopycnal space. We force the intercept to pass through zero, as this has been demonstrated to result in more accurate corrections. As oxygen optodes drift, they tend to read lower values of oxygen [Bittig et al., 2015], so we expect the correction to produce a slight increase in oxygen concentration. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4447d46a-1d0f-43fc-885c-0b60d99d5edb",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "slope m = [1.1] and R2 = 0.97\n"
     ]
    }
   ],
   "source": [
    "# Forcing the intercept to go through ZERO\n",
    "intercept_zero = True\n",
    "if intercept_zero:\n",
    "    mask = ~np.isnan(fldg) & ~np.isnan(fldH)\n",
    "    p_zero = np.linalg.lstsq(fldg[mask].reshape(-1,1), fldH[mask], rcond=None)[0]\n",
    "    x = np.arange(50, 300, 1) #Used for plotting\n",
    "    Y = np.polyval([p_zero[0], 0], x)\n",
    "    slope,intercept,R_val,p_val,stn_err = stats.linregress(fldg, fldH)\n",
    "\n",
    "    print(f\"slope m = {np.round(p_zero,2)} and R2 = {np.round(R_val**2,2)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7e854b45-9ead-473d-bd36-24369cab4611",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x20f66cdde90>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the best fit line\n",
    "plt.plot(fldg, fldH, 'ko', label='Selected data')\n",
    "plt.plot(x, Y, 'k-', linewidth=0.5, label='least-squares fit')\n",
    "plt.ylabel('Oxygen comparison profile [$\\mu$mol kg$^{-1}$]') \n",
    "plt.xlabel('Oxygen glider profile [$\\mu$mol kg$^{-1}$]')\n",
    "plt.ylim(50, 300)\n",
    "plt.xlim(50, 300)\n",
    "plt.grid()\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b63acdcd-76b9-411d-a6d6-3436eba1a8b8",
   "metadata": {},
   "source": [
    "### 2.6 Applying the optode drift correction \n",
    "**Sanity checks**\n",
    "We now apply our drift correction and confirm that the drift correction has had the intended effect. We check the following:\n",
    "1. Do we see better agreement with the full comparison profile, particularly in the deep water and at the surface?\n",
    "2. Are values at the surface consistent with saturated (or over-satured) water?\n",
    "3. Are values at 1000 m consistent with other deep oxygen samples or at least reasonable?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "58afd6fe-eb41-433e-b356-8a2ca0c23c12",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Apply the drift correction\n",
    "if intercept_zero:\n",
    "    oxygen_drift = (ds.oxygen_concentration / dens0 * 1000) * p_zero[0] #UNITS = umol/kg!\n",
    "\n",
    "    # Set any unphysical values to NaN\n",
    "oxygen_drift[np.logical_or(oxygen_drift > 500, oxygen_drift<0)] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "aa028c19-2e24-4671-b1a6-10466b61ec4f",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x20f0de853d0>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the data without and with the drift comparison\n",
    "fig, axs = plt.subplots(1, 2, figsize=(10,5))\n",
    "\n",
    "axs[0].set_title('Before drift correction')\n",
    "axs[0].plot(tmp_sub.oxy_cor.values / tmp_sub.dens0.values * 1000, tmp_sub.dens0.values, 'k.-', label='Glider profile')\n",
    "axs[0].plot(OH / RH0 * 1000, RH0, 'r.', markersize=1, label='Comparison profile CTD')\n",
    "axs[0].plot(OH2 / RH02 * 1000, RH02, 'r*', label='Comparison profile Winkler')\n",
    "axs[0].set_ylim(1022,1027)\n",
    "axs[0].set_xlim(50,300)\n",
    "axs[0].set_ylabel('potential density [kg/m$^3$]',fontsize=12)\n",
    "axs[0].set_xlabel('oxygen [$\\mu$mol/kg]',fontsize=12)\n",
    "axs[0].grid()\n",
    "axs[0].legend()\n",
    "\n",
    "axs[1].set_title('With drift correction')\n",
    "axs[1].plot(tmp_sub.oxy_cor.values / tmp_sub.dens0.values * 1000 * p_zero[0], tmp_sub.dens0.values, 'k.-', label='Glider profile')\n",
    "axs[1].plot(OH / RH0 * 1000, RH0, 'r.', markersize=1, label='Comparison profile CTD')\n",
    "axs[1].plot(OH2 / RH02 * 1000, RH02, 'r*', label='Comparison profile Winkler')\n",
    "axs[1].set_ylim(1022,1027)\n",
    "axs[1].set_xlim(50,300)\n",
    "axs[1].set_ylabel('potential density [kg/m$^3$]',fontsize=12)\n",
    "axs[1].set_xlabel('oxygen [$\\mu$mol/kg]',fontsize=12)\n",
    "axs[1].grid()\n",
    "axs[1].legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f070f372-9278-4eaa-b795-6887637a86c1",
   "metadata": {},
   "source": [
    "**Agreement with comparison profile**: The agreement with the comparison profile has improved significantly, except near the surface where there is high variability. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "5eb43b68-0f11-4756-a8e0-342eda64d3d8",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def O2sol(S,T):\n",
    "# O2sol   Solubility of O2 in sea water\n",
    "#=========================================================================\n",
    "# O2sol Version 1.1 4/4/2005 converted to Python by Hayley Dosser in 2023\n",
    "# USAGE:  concO2 = O2sol(S,T)\n",
    "# DESCRIPTION:\n",
    "#    Solubility (saturation) of oxygen (O2) in sea water\n",
    "#    at 1-atm pressure of air including saturated water vapor\n",
    "# INPUT:  (if S and T are not singular they must have same dimensions)\n",
    "#   S = salinity    [PSS]\n",
    "#   T = temperature [degree C]\n",
    "# OUTPUT:\n",
    "#   concO2 = solubility of O2  [umol/kg]  \n",
    "# AUTHOR:  Roberta Hamme (rhamme@ucsd.edu) in Matlab\n",
    "# REFERENCE:\n",
    "#    Hernan E. Garcia and Louis I. Gordon, 1992.\n",
    "#    \"Oxygen solubility in seawater: Better fitting equations\"\n",
    "#    Limnology and Oceanography, 37, pp. 1307-1312.\n",
    "#=========================================================================\n",
    "\n",
    "    # convert T to scaled temperature\n",
    "    temp_S = np.log((298.15 - T)/(273.15 + T));\n",
    "\n",
    "    # constants from Table 1 of Garcia & Gordon for the fit to Benson and Krause (1984)\n",
    "    A0_o2 = 5.80871; \n",
    "    A1_o2 = 3.20291;\n",
    "    A2_o2 = 4.17887;\n",
    "    A3_o2 = 5.10006;\n",
    "    A4_o2 = -9.86643e-2;\n",
    "    A5_o2 = 3.80369;\n",
    "    B0_o2 = -7.01577e-3;\n",
    "    B1_o2 = -7.70028e-3;\n",
    "    B2_o2 = -1.13864e-2;\n",
    "    B3_o2 = -9.51519e-3;\n",
    "    C0_o2 = -2.75915e-7;\n",
    "\n",
    "    # Corrected Eqn (8) of Garcia and Gordon 1992\n",
    "    conc_O2 = np.exp(A0_o2 + A1_o2*temp_S + A2_o2*temp_S**2 + A3_o2*temp_S**3 + A4_o2*temp_S**4 + A5_o2*temp_S**5 + S*(B0_o2 + B1_o2*temp_S + B2_o2*temp_S**2 + B3_o2*temp_S**3) + C0_o2*S**2);\n",
    "\n",
    "    return conc_O2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "f4d4a39f-36ec-4ff3-98a0-e99ff8c955a6",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the data without and with the drift comparison\n",
    "fig, ax = plt.subplots(1, 2, figsize=(10,5))\n",
    "\n",
    "ax[0].set_title('Before drift correction')\n",
    "ax[0].plot(O2sol(np.array(SH),np.array(TH)), depthH, '.', label='Oxygen saturation')\n",
    "ax[0].plot(OH / RH0 * 1000, depthH, 'ro-', label='Comparison profile')\n",
    "ax[0].plot(tmp_sub.oxy_cor.values / tmp_sub.dens0.values * 1000, tmp_sub.depth, 'k.-', label='Glider profile')\n",
    "ax[0].set_ylabel('Depth [m]')\n",
    "ax[0].set_xlabel('Oxygen concentration [$\\mu$mol kg$^{-1}$]')\n",
    "ax[0].set_ylim(20, 0)\n",
    "ax[0].legend()\n",
    "ax[0].grid()\n",
    "\n",
    "ax[1].set_title('After drift correction')\n",
    "ax[1].plot(O2sol(np.array(SH),np.array(TH)), depthH, '.', label='Oxygen saturation')\n",
    "ax[1].plot(OH / RH0 * 1000, depthH, 'ro-', label='Comparison profile')\n",
    "ax[1].plot(tmp_sub.oxy_cor.values / tmp_sub.dens0.values * 1000  * p_zero[0], tmp_sub.depth, 'k.-', label='Glider profile')\n",
    "ax[1].set_ylabel('Depth [m]')\n",
    "ax[1].set_xlabel('Oxygen concentration [$\\mu$mol kg$^{-1}$]')\n",
    "ax[1].set_ylim(20, 0)\n",
    "ax[1].grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efd2da5d-1005-4f66-a2ca-3301dbbb6b3a",
   "metadata": {},
   "source": [
    "**Surface values**: Both the glider profile and comparison profile appear over-saturated right at the surface. Before the drift correction, the glider is in decent agreement with the comparison profile below 5 m but less saturated above 5 m. After the correction, agreement below 5 m is not quite as good, but the glider profile is closer to 100% saturation above 5 m and matches to the comparison profile more closely. This type of surface comparison provides information, but is not conclusive, particularly in a dynamic environment such as Hakai Pass."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "9a659736-b773-48b1-90e7-0bd268d3d1f4",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The minimum oxygen value before the drift correction is 5.0 umol/kg\n",
      "The minimum oxygen value after the drift correction is 5.5 umol/kg\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting full-depth profiles from beyond the shelfbreak\n",
    "n0 = 348\n",
    "n1 = 391 \n",
    "indp = np.logical_and(ds.profile_index>=n0, ds.profile_index<=n1)\n",
    "plt.plot(ds.oxygen_concentration[indp]/dens0[indp]*1000,\n",
    "         ds.depth[indp],'-',color='gray',label='without drift correction')\n",
    "plt.plot(oxygen_drift[indp],\n",
    "         ds.depth[indp],'-',label='with drift correction')\n",
    "plt.ylabel('Depth [m]')\n",
    "plt.xlabel('Oxygen concentration [$\\mu$mol/kg]')\n",
    "plt.ylim(1000, 150)\n",
    "plt.xlim(0, 100)\n",
    "plt.grid()\n",
    "plt.legend()\n",
    "plt.title('Full-depth profiles from beyond the shelf break')\n",
    "\n",
    "print(f'The minimum oxygen value before the drift correction is {np.round(np.nanmin(ds.oxygen_concentration[indp]/dens0[indp]*1000),1)} umol/kg')\n",
    "print(f'The minimum oxygen value after the drift correction is {np.round(np.nanmin(oxygen_drift[indp]),1)} umol/kg')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa6a3ee5-575a-4eb9-bc9d-fee6c03a1aed",
   "metadata": {},
   "source": [
    "**Comparison of deep oxygen**: There are no good DFO profiles from beyond the shelf break to compare with during the glider mission. However, we see that the drift correction has increased the deep oxygen values slightly. This is a good sanity check, since oxygen optode sensor drift tends to cause lower values. Furthermore, the change caused by the drift correction is smallest for the deep oxygen data, as expected.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ae7c36c3-a2f4-4c27-bfcd-7a1a0778233d",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualizing the drift correction\n",
    "n0 = 348\n",
    "n1 = 391\n",
    "indp = np.logical_and(ds.profile_index>=n0, ds.profile_index<=n1)\n",
    "fld_orig = ds.oxygen_concentration[indp]/dens0[indp]*1000\n",
    "dp = ds.pressure[indp]\n",
    "tm = ds.time[indp]\n",
    "fld = oxygen_drift[indp]\n",
    "sal = ds.salinity_adjusted[indp]\n",
    "\n",
    "fig, ax = plt.subplots(1,2,constrained_layout=True, \n",
    "                            figsize=(10, 5))\n",
    "\n",
    "ax1 = ax[0]\n",
    "sc = ax1.scatter(tm[~np.isnan(fld)], dp[~np.isnan(fld)], s=25, \n",
    "                 c=fld[~np.isnan(fld)]-fld_orig[~np.isnan(fld)], marker='s', vmin=0.5, vmax=35)\n",
    "cb1 = plt.colorbar(sc, ax=ax1, orientation='vertical',label='Change in oxygen [$\\mu$mol/kg]')\n",
    "cb1.ax.tick_params(labelsize=12)\n",
    "ax1.set_title('Drift correction - no drift correction')\n",
    "ax1.set_xlabel('Time [day of month]',fontsize=12)\n",
    "ax1.set_ylabel('Pressure [dbar]',fontsize=12)\n",
    "ax1.invert_yaxis()\n",
    "ax1.tick_params(labelsize=12)\n",
    "ax1.xaxis.set_major_formatter(mdates.DateFormatter('%d'))\n",
    "ax1.xaxis.set_tick_params(which='major', pad=10)\n",
    "\n",
    "ax2 = ax[1]\n",
    "ax2.grid()\n",
    "ax2.scatter(fld[~np.isnan(fld)]-fld_orig[~np.isnan(fld)], dp[~np.isnan(fld)],  s=1, c='k')\n",
    "ax2.set_title('Drift correction - no drift correction')\n",
    "ax2.set_xlabel('Oxygen concentration difference [$\\mu$mol/kg]',fontsize=12)\n",
    "ax2.set_ylabel('Pressure [dbar]',fontsize=12)\n",
    "ax2.invert_yaxis()\n",
    "ax2.tick_params(labelsize=12)\n",
    "ax2.xaxis.set_tick_params(which='major', pad=10)"
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  },
  {
   "cell_type": "markdown",
   "id": "6cfc0c92-1897-40d7-92e1-a01ee340526f",
   "metadata": {},
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    "#### Conclusion on drift correction\n",
    "\n",
    "Given the high-quality comparison profile, and the supporting evidence suggesting the estimated drift correction produces reasonable results, we choose to apply the drift correction. However, note that the optode on this glider was calibrated only 8 months before the mission, and the drift correction estimated is large.  \n",
    "\n",
    "The change in oxygen concentration after applying the drift correction is between 0 and 10$\\mu$mol/kg below 400m, and up to nearly 40$\\mu$mol/kg at the surface. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5d3d33b8-7cde-40c7-898f-dd4f9d8cce16",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ds['oxygen_adjusted'] = ds.oxygen_concentration.copy()\n",
    "ds.oxygen_adjusted.values = (oxygen_drift/1000) * dens0\n",
    "ds['oxygen_adjusted'].attrs['units'] = 'umol L-1'\n",
    "ds['oxygen_adjusted'].attrs['comment'] = 'Corrected oxygen concentration'\n",
    "ds['oxygen_adjusted'].attrs['processing_report'] = processing_report\n",
    "ds['oxygen_adjusted'].attrs['processing_date'] = processing_date\n",
    "ds['oxygen_adjusted'].attrs['processing_protocol'] = processing_protocol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "953bcdd2-538a-4901-b7ab-562f0de42b6f",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Corrected data saved to file: ./dfo-bb046-20220707/dfo-bb046-20220707_corrected_v2.nc\n"
     ]
    }
   ],
   "source": [
    "#ds.to_netcdf(deploy_prefix+deploy_name+'_corrected_v2.nc')\n",
    "print('Corrected data saved to file: '+deploy_prefix+deploy_name+'_corrected_v2.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "3f22ad29-3743-4dd5-8a34-10057034a6ed",
   "metadata": {
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     "source_hidden": true
    },
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   },
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (time: 1759051)\n",
       "Coordinates:\n",
       "  * time                   (time) datetime64[ns] 2022-07-07T16:45:19.20499993...\n",
       "    latitude               (time) float64 51.72 51.72 51.72 ... 51.71 51.71\n",
       "    longitude              (time) float64 -128.1 -128.1 -128.1 ... -128.1 -128.1\n",
       "    depth                  (time) float64 -0.09913 1.16 ... -0.3073 -0.3073\n",
       "    pind                   (time) float64 ...\n",
       "Data variables: (12/23)\n",
       "    heading                (time) float64 ...\n",
       "    pitch                  (time) float64 ...\n",
       "    roll                   (time) float64 ...\n",
       "    conductivity           (time) float64 ...\n",
       "    temperature            (time) float64 ...\n",
       "    pressure               (time) float64 -0.1 1.17 1.41 ... -0.31 -0.31 -0.31\n",
       "    ...                     ...\n",
       "    potential_temperature  (time) float64 ...\n",
       "    conductivity_adjusted  (time) float64 ...\n",
       "    temperature_adjusted   (time) float64 14.18 14.69 14.46 ... nan nan nan\n",
       "    salinity_adjusted      (time) float64 24.86 21.92 22.54 ... nan nan nan\n",
       "    density_adjusted       (time) float64 ...\n",
       "    oxygen_adjusted        (time) float64 450.0 450.0 455.4 ... nan nan nan\n",
       "Attributes: (12/67)\n",
       "    Conventions:               CF-1.6\n",
       "    Metadata_Conventions:      CF-1.6, Unidata Dataset Discovery v1.0\n",
       "    acknowledgement:           Funding from Fisheries and Oceans Canada, Cana...\n",
       "    cdm_data_type:             Trajectory\n",
       "    comment:                   Calvert Island deployment\n",
       "    contributor_name:          James Pegg, Jody Klymak, Tetjana Ross, Jennife...\n",
       "    ...                        ...\n",
       "    summary:                   Glider deployed near Calvert Island BC as part...\n",
       "    time_coverage_end:         2022-07-28T03:28:20.381000000\n",
       "    time_coverage_start:       2022-07-07T16:45:19.205000000\n",
       "    title:                     dfo-bb046-20220707T1645\n",
       "    transmission_system:       IRIDIUM\n",
       "    wmo_id:                    4803918</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-11aff7bb-59ff-4b4e-bc26-b4dcf0730958' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-11aff7bb-59ff-4b4e-bc26-b4dcf0730958' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1759051</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ba104815-81d2-42b4-aa0e-b00a0ef01b5e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ba104815-81d2-42b4-aa0e-b00a0ef01b5e' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-07-07T16:45:19.204999936 .....</div><input id='attrs-eb1fc3af-83ff-4d9c-bba5-6b0499680eab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb1fc3af-83ff-4d9c-bba5-6b0499680eab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5674f3d7-ca8d-445a-a7af-3bb30044912f' class='xr-var-data-in' type='checkbox'><label for='data-5674f3d7-ca8d-445a-a7af-3bb30044912f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>observation_type :</span></dt><dd>measured</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-07-07T16:45:19.204999936&#x27;, &#x27;2022-07-07T16:45:19.940000000&#x27;,\n",
       "       &#x27;2022-07-07T16:45:20.945999872&#x27;, ..., &#x27;2022-07-28T03:28:18.376999936&#x27;,\n",
       "       &#x27;2022-07-28T03:28:19.375000064&#x27;, &#x27;2022-07-28T03:28:20.380999936&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>51.72 51.72 51.72 ... 51.71 51.71</div><input id='attrs-3ba82227-71ec-4c12-847d-4380741dfba9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ba82227-71ec-4c12-847d-4380741dfba9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcbb7cd5-e580-41e0-8d07-f14068b3422c' class='xr-var-data-in' type='checkbox'><label for='data-dcbb7cd5-e580-41e0-8d07-f14068b3422c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>NAV_LATITUDE</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>conversion :</span></dt><dd>nmea2deg</dd><dt><span>comment :</span></dt><dd>Estimated between surface fixes</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>reference :</span></dt><dd>WGS84</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>coordinate_reference_frame :</span></dt><dd>urn:ogc:crs:EPSG::4326</dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>array([51.718517, 51.718517, 51.718517, ..., 51.711067, 51.711067, 51.711067])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-128.1 -128.1 ... -128.1 -128.1</div><input id='attrs-bef437fb-4807-48d4-a76a-1c13fc04fc95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bef437fb-4807-48d4-a76a-1c13fc04fc95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d0fc64b-446e-46b6-84bc-8d85935abc3c' class='xr-var-data-in' type='checkbox'><label for='data-0d0fc64b-446e-46b6-84bc-8d85935abc3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>NAV_LONGITUDE</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>conversion :</span></dt><dd>nmea2deg</dd><dt><span>comment :</span></dt><dd>Estimated between surface fixes</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>reference :</span></dt><dd>WGS84</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>coordinate_reference_frame :</span></dt><dd>urn:ogc:crs:EPSG::4326</dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>array([-128.067083, -128.067083, -128.067083, ..., -128.066033, -128.066033,\n",
       "       -128.066033])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.09913 1.16 ... -0.3073 -0.3073</div><input id='attrs-10c86b92-d6d8-4b57-b0e2-973c65db4dd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10c86b92-d6d8-4b57-b0e2-973c65db4dd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9294c2a9-284f-4b73-9f93-08e82b4526ad' class='xr-var-data-in' type='checkbox'><label for='data-9294c2a9-284f-4b73-9f93-08e82b4526ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>pressure</dd><dt><span>long_name :</span></dt><dd>glider depth</dd><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>comment :</span></dt><dd>from science pressure and interpolated</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>accuracy :</span></dt><dd>1</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>resolution :</span></dt><dd>0.02</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>reference_datum :</span></dt><dd>surface</dd><dt><span>positive :</span></dt><dd>down</dd></dl></div><div class='xr-var-data'><pre>array([-0.099127,  1.159788,  1.397693, ..., -0.307296, -0.307296, -0.307296])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pind</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c48af377-9bc8-43ec-9341-0e5eba646183' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c48af377-9bc8-43ec-9341-0e5eba646183' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2361297a-60b5-4d6e-b4bf-c2b34b8ac410' class='xr-var-data-in' type='checkbox'><label for='data-2361297a-60b5-4d6e-b4bf-c2b34b8ac410' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>profile index</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>N = inside profile N, N + 0.5 = between profiles N and N + 1</dd><dt><span>sources :</span></dt><dd>time pressure</dd><dt><span>method :</span></dt><dd>get_profiles_new</dd><dt><span>min_dp :</span></dt><dd>10.0</dd><dt><span>filt_length :</span></dt><dd>20</dd><dt><span>min_nsamples :</span></dt><dd>100</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ea98a01-d766-4eb3-b135-4aa00b06666b' class='xr-section-summary-in' type='checkbox'  ><label for='section-4ea98a01-d766-4eb3-b135-4aa00b06666b' class='xr-section-summary' >Data variables: <span>(23)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>heading</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c46413b9-e094-4591-8d88-5e52ca8889ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c46413b9-e094-4591-8d88-5e52ca8889ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de923d2d-bdc3-4d69-9a73-73b2099a0c9d' class='xr-var-data-in' type='checkbox'><label for='data-de923d2d-bdc3-4d69-9a73-73b2099a0c9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>Heading</dd><dt><span>long_name :</span></dt><dd>glider heading angle</dd><dt><span>standard_name :</span></dt><dd>platform_orientation</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pitch</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e74efd87-473c-4009-a450-1af7931307ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e74efd87-473c-4009-a450-1af7931307ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fd2ab53-d6d1-47a7-a34a-ce823530a75b' class='xr-var-data-in' type='checkbox'><label for='data-1fd2ab53-d6d1-47a7-a34a-ce823530a75b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>Pitch</dd><dt><span>long_name :</span></dt><dd>glider pitch angle</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>roll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5afaea58-937a-4187-af82-4dd839477886' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5afaea58-937a-4187-af82-4dd839477886' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45210437-460d-43d9-a11d-c2f7f88de883' class='xr-var-data-in' type='checkbox'><label for='data-45210437-460d-43d9-a11d-c2f7f88de883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>Roll</dd><dt><span>long_name :</span></dt><dd>glider roll angle</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>rad</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conductivity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c89607c2-89bb-48c7-82b5-091c77c27b77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c89607c2-89bb-48c7-82b5-091c77c27b77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd509a6d-26c5-4bd0-ac5b-f08d2d8fa8a6' class='xr-var-data-in' type='checkbox'><label for='data-bd509a6d-26c5-4bd0-ac5b-f08d2d8fa8a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>GPCTD_CONDUCTIVITY</dd><dt><span>long_name :</span></dt><dd>water conductivity</dd><dt><span>standard_name :</span></dt><dd>sea_water_electrical_conductivity</dd><dt><span>units :</span></dt><dd>S m-1</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>valid_min :</span></dt><dd>0.</dd><dt><span>valid_max :</span></dt><dd>10.</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>accuracy :</span></dt><dd>0.0003</dd><dt><span>precision :</span></dt><dd>0.0001</dd><dt><span>resolution :</span></dt><dd>0.00002</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0fbf34be-9c6f-4b53-bd89-a89707f9268b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fbf34be-9c6f-4b53-bd89-a89707f9268b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba562673-7ced-4dbb-b2cc-af6771415bb7' class='xr-var-data-in' type='checkbox'><label for='data-ba562673-7ced-4dbb-b2cc-af6771415bb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>GPCTD_TEMPERATURE</dd><dt><span>long_name :</span></dt><dd>water temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>valid_min :</span></dt><dd>-5</dd><dt><span>valid_max :</span></dt><dd>50</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>accuracy :</span></dt><dd>0.002</dd><dt><span>precision :</span></dt><dd>0.001</dd><dt><span>resolution :</span></dt><dd>0.0002</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.1 1.17 1.41 ... -0.31 -0.31</div><input id='attrs-41bc2906-5016-4e52-96e4-69aed8829884' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41bc2906-5016-4e52-96e4-69aed8829884' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-103f11ba-af9c-48d3-95e0-cbafb6a76965' class='xr-var-data-in' type='checkbox'><label for='data-103f11ba-af9c-48d3-95e0-cbafb6a76965' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>GPCTD_PRESSURE</dd><dt><span>long_name :</span></dt><dd>water pressure</dd><dt><span>standard_name :</span></dt><dd>sea_water_pressure</dd><dt><span>units :</span></dt><dd>dbar</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>reference_datum :</span></dt><dd>sea-surface</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>accuracy :</span></dt><dd>1</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>resolution :</span></dt><dd>0.02</dd><dt><span>comment :</span></dt><dd>ctd pressure sensor</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>array([-0.1 ,  1.17,  1.41, ..., -0.31, -0.31, -0.31])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlorophyll</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f78fbbf-8c70-4b3f-bc93-ce9479dadd56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f78fbbf-8c70-4b3f-bc93-ce9479dadd56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d983b820-10d8-43e5-9218-f24d1e25b177' class='xr-var-data-in' type='checkbox'><label for='data-d983b820-10d8-43e5-9218-f24d1e25b177' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>FLBBCD_CHL_SCALED</dd><dt><span>long_name :</span></dt><dd>chlorophyll</dd><dt><span>standard_name :</span></dt><dd>concentration_of_chlorophyll_in_sea_water</dd><dt><span>units :</span></dt><dd>mg m-3</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cdom</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b6ecc101-281f-4353-88e6-c4d29f98ce94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6ecc101-281f-4353-88e6-c4d29f98ce94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51c188d2-6f26-4e8d-b70b-0570a8e01277' class='xr-var-data-in' type='checkbox'><label for='data-51c188d2-6f26-4e8d-b70b-0570a8e01277' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>FLBBCD_CDOM_SCALED</dd><dt><span>long_name :</span></dt><dd>CDOM</dd><dt><span>units :</span></dt><dd>ppb</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>backscatter_700</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e721bc86-e20a-41e3-bf64-cc31b881db54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e721bc86-e20a-41e3-bf64-cc31b881db54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc213d30-fd0a-442f-a4dc-929d8994671e' class='xr-var-data-in' type='checkbox'><label for='data-cc213d30-fd0a-442f-a4dc-929d8994671e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>FLBBCD_BB_700_SCALED</dd><dt><span>long_name :</span></dt><dd>700 nm wavelength backscatter</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>oxygen_concentration</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>409.3 409.3 414.2 ... nan 305.8 nan</div><input id='attrs-1c3f2c47-622b-47c1-afbd-4b6b7da43a7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c3f2c47-622b-47c1-afbd-4b6b7da43a7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce3dbe21-49df-4ba1-85d8-5b9bc0a5000a' class='xr-var-data-in' type='checkbox'><label for='data-ce3dbe21-49df-4ba1-85d8-5b9bc0a5000a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>AROD_FT_DO</dd><dt><span>long_name :</span></dt><dd>oxygen concentration</dd><dt><span>standard_name :</span></dt><dd>mole_concentration_of_dissolved_molecular_oxygen_in_sea_water</dd><dt><span>units :</span></dt><dd>umol l-1</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>array([409.27, 409.27, 414.23, ...,    nan, 305.82,    nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_oxygen</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-71ac072e-ac95-4ee8-b1f6-2da08d8b68a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71ac072e-ac95-4ee8-b1f6-2da08d8b68a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20c4bb27-a181-4d76-9259-d39ae5e371f5' class='xr-var-data-in' type='checkbox'><label for='data-20c4bb27-a181-4d76-9259-d39ae5e371f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>AROD_FT_TEMP</dd><dt><span>long_name :</span></dt><dd>oxygen sensor temperature</dd><dt><span>standard_name :</span></dt><dd>temperature_of_sensor_for_oxygen_in_sea_water</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>comment :</span></dt><dd> </dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance_over_ground</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc63a483-f097-44ad-8492-583159a7f0f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc63a483-f097-44ad-8492-583159a7f0f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7b2b83c-f6b5-46f4-91ea-4685c266a5ca' class='xr-var-data-in' type='checkbox'><label for='data-f7b2b83c-f6b5-46f4-91ea-4685c266a5ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>distance over ground flown since mission start</dd><dt><span>method :</span></dt><dd>get_distance_over_ground</dd><dt><span>units :</span></dt><dd>km</dd><dt><span>sources :</span></dt><dd>latitude longitude</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile_index</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.0 0.0 0.0 0.0 ... -0.0 -0.0 -0.0</div><input id='attrs-052cd725-e5e0-4389-9d8d-de6c23b0d367' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-052cd725-e5e0-4389-9d8d-de6c23b0d367' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09c251c9-03c9-4d9a-997e-929fe9d28a1c' class='xr-var-data-in' type='checkbox'><label for='data-09c251c9-03c9-4d9a-997e-929fe9d28a1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>profile index</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>N = inside profile N, N + 0.5 = between profiles N and N + 1</dd><dt><span>sources :</span></dt><dd>time pressure</dd><dt><span>method :</span></dt><dd>get_profiles_new</dd><dt><span>min_dp :</span></dt><dd>10.0</dd><dt><span>filt_length :</span></dt><dd>20</dd><dt><span>min_nsamples :</span></dt><dd>100</dd></dl></div><div class='xr-var-data'><pre>array([-0.,  0.,  0., ..., -0., -0., -0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>profile_direction</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.0 0.0 0.0 0.0 ... -0.0 -0.0 -0.0</div><input id='attrs-768a901c-d7f9-433b-8ba9-893d56fefe4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-768a901c-d7f9-433b-8ba9-893d56fefe4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15ca4332-e61c-4c0e-a96f-413ab35cb194' class='xr-var-data-in' type='checkbox'><label for='data-15ca4332-e61c-4c0e-a96f-413ab35cb194' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>glider vertical speed direction</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>-1 = ascending, 0 = inflecting or stalled, 1 = descending</dd><dt><span>sources :</span></dt><dd>time pressure</dd><dt><span>method :</span></dt><dd>get_profiles_new</dd></dl></div><div class='xr-var-data'><pre>array([-0.,  0.,  0., ..., -0., -0., -0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73551e77-ff4e-4f33-99d1-ccf8d4347bec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73551e77-ff4e-4f33-99d1-ccf8d4347bec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c919c183-8c73-46b7-9b69-7be9c9c3bf99' class='xr-var-data-in' type='checkbox'><label for='data-c919c183-8c73-46b7-9b69-7be9c9c3bf99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity</dd><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>sources :</span></dt><dd>conductivity temperature pressure</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_density</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91e7e1dd-d119-4572-9035-7b2195ef6a70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91e7e1dd-d119-4572-9035-7b2195ef6a70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de625e99-0aec-46b5-9b49-64ac33ec6224' class='xr-var-data-in' type='checkbox'><label for='data-de625e99-0aec-46b5-9b49-64ac33ec6224' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water potential density</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_density</dd><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>sources :</span></dt><dd>salinity temperature pressure</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>density</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-120121f3-0414-48e1-9dec-3daa9ce57cab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-120121f3-0414-48e1-9dec-3daa9ce57cab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40bf4125-2722-4b27-aa7e-930f8c3bb937' class='xr-var-data-in' type='checkbox'><label for='data-40bf4125-2722-4b27-aa7e-930f8c3bb937' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Density</dd><dt><span>standard_name :</span></dt><dd>sea_water_density</dd><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>sources :</span></dt><dd>salinity temperature pressure</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>valid_min :</span></dt><dd>1000.0</dd><dt><span>valid_max :</span></dt><dd>1040.0</dd><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>potential_temperature</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-26c98cfa-df77-4246-8417-e8de956b7759' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26c98cfa-df77-4246-8417-e8de956b7759' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dadb2aa-53ee-4dc8-839c-80c376e8494b' class='xr-var-data-in' type='checkbox'><label for='data-5dadb2aa-53ee-4dc8-839c-80c376e8494b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water potential temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>comment :</span></dt><dd>raw, uncorrected salinity</dd><dt><span>sources :</span></dt><dd>salinity temperature pressure</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>method :</span></dt><dd>get_derived_eos_raw</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>accuracy :</span></dt><dd>0.002</dd><dt><span>precision :</span></dt><dd>0.001</dd><dt><span>resolution :</span></dt><dd>0.0001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conductivity_adjusted</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5216af49-0096-40cb-a60e-eb1b231beef8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5216af49-0096-40cb-a60e-eb1b231beef8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26785e7b-37c9-4f85-9c05-6f9210eb7896' class='xr-var-data-in' type='checkbox'><label for='data-26785e7b-37c9-4f85-9c05-6f9210eb7896' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>corrected conductivity</dd><dt><span>processing_report :</span></dt><dd>CTD_dfo-bb046-20220707_v2</dd><dt><span>processing_date :</span></dt><dd>C-PROOF_SBE_CTDProcessingReport_v0.2.pdf</dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_adjusted</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>14.18 14.69 14.46 ... nan nan nan</div><input id='attrs-a88ceef0-efd7-4863-b593-1c4aaeb66cbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a88ceef0-efd7-4863-b593-1c4aaeb66cbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d6e99fb-a75e-4960-be7b-dc6b08882f23' class='xr-var-data-in' type='checkbox'><label for='data-5d6e99fb-a75e-4960-be7b-dc6b08882f23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>GPCTD_TEMPERATURE</dd><dt><span>long_name :</span></dt><dd>water temperature</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>Celsius</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>valid_min :</span></dt><dd>-5</dd><dt><span>valid_max :</span></dt><dd>50</dd><dt><span>observation_type :</span></dt><dd>measured</dd><dt><span>accuracy :</span></dt><dd>0.002</dd><dt><span>precision :</span></dt><dd>0.001</dd><dt><span>resolution :</span></dt><dd>0.0002</dd><dt><span>comment :</span></dt><dd>corrected temperature</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd><dt><span>processing_report :</span></dt><dd>CTD_dfo-bb046-20220707_v2</dd><dt><span>processing_date :</span></dt><dd>C-PROOF_SBE_CTDProcessingReport_v0.2.pdf</dd></dl></div><div class='xr-var-data'><pre>array([14.18205, 14.68845, 14.45625, ...,      nan,      nan,      nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salinity_adjusted</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>24.86 21.92 22.54 ... nan nan nan</div><input id='attrs-ba3892c6-040b-4ddd-8539-42fd7fdc0e69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba3892c6-040b-4ddd-8539-42fd7fdc0e69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69ad1b25-3b46-4fa9-95ea-25e1b0dbda72' class='xr-var-data-in' type='checkbox'><label for='data-69ad1b25-3b46-4fa9-95ea-25e1b0dbda72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water salinity</dd><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity</dd><dt><span>units :</span></dt><dd>1e-3</dd><dt><span>comment :</span></dt><dd>corrected salinity</dd><dt><span>sources :</span></dt><dd>conductivity temperature pressure</dd><dt><span>method :</span></dt><dd> </dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>valid_max :</span></dt><dd>40.0</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd><dt><span>processing_report :</span></dt><dd>CTD_dfo-bb046-20220707_v2</dd><dt><span>processing_date :</span></dt><dd>20231212</dd><dt><span>processing_protocol :</span></dt><dd>C-PROOF_SBE_CTDProcessingReport_v0.2.pdf</dd></dl></div><div class='xr-var-data'><pre>array([24.863744, 21.916904, 22.537835, ...,       nan,       nan,       nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>density_adjusted</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-608b16a2-5186-42d2-8b44-2b7596693618' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-608b16a2-5186-42d2-8b44-2b7596693618' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00a6daf0-b373-4164-8b56-d4924b5d0216' class='xr-var-data-in' type='checkbox'><label for='data-00a6daf0-b373-4164-8b56-d4924b5d0216' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Density</dd><dt><span>standard_name :</span></dt><dd>sea_water_density</dd><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>comment :</span></dt><dd>density from corrected salinity [psu] and temperature [degC]</dd><dt><span>observation_type :</span></dt><dd>calulated</dd><dt><span>sources :</span></dt><dd>salinity temperature pressure</dd><dt><span>instrument :</span></dt><dd>instrument_ctd</dd><dt><span>method :</span></dt><dd> </dd><dt><span>valid_min :</span></dt><dd>1000.0</dd><dt><span>valid_max :</span></dt><dd>1040.0</dd><dt><span>accuracy :</span></dt><dd>0.01</dd><dt><span>precision :</span></dt><dd>0.01</dd><dt><span>resolution :</span></dt><dd>0.001</dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>ancillary_variables :</span></dt><dd> </dd></dl></div><div class='xr-var-data'><pre>[1759051 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>oxygen_adjusted</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>450.0 450.0 455.4 ... nan nan nan</div><input id='attrs-8f9ef6b8-4c31-4720-ad45-4997f025c6c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f9ef6b8-4c31-4720-ad45-4997f025c6c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d53ff081-d74a-4afa-af84-5e31b8dd8b99' class='xr-var-data-in' type='checkbox'><label for='data-d53ff081-d74a-4afa-af84-5e31b8dd8b99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>source :</span></dt><dd>AROD_FT_DO</dd><dt><span>long_name :</span></dt><dd>oxygen concentration</dd><dt><span>standard_name :</span></dt><dd>mole_concentration_of_dissolved_molecular_oxygen_in_sea_water</dd><dt><span>units :</span></dt><dd>umol L-1</dd><dt><span>comment :</span></dt><dd>Corrected oxygen concentration</dd><dt><span>accuracy :</span></dt><dd> </dd><dt><span>precision :</span></dt><dd> </dd><dt><span>platform :</span></dt><dd>platform</dd><dt><span>resolution :</span></dt><dd> </dd><dt><span>ancillary_variables :</span></dt><dd> </dd><dt><span>processing_report :</span></dt><dd>Oxygen_dfo-bb046-20220707_v2</dd><dt><span>processing_date :</span></dt><dd>20231212</dd><dt><span>processing_protocol :</span></dt><dd>C-PROOF_OxygenProcessingReport_v0.2.pdf</dd></dl></div><div class='xr-var-data'><pre>array([449.97141453, 449.97141453, 455.42468062, ...,          nan,\n",
       "                nan,          nan])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b087d36-14ad-4dba-9fa6-b6f53b83e606' class='xr-section-summary-in' type='checkbox'  ><label for='section-0b087d36-14ad-4dba-9fa6-b6f53b83e606' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1d158508-34dd-47a4-b3ef-1d838571058e' class='xr-index-data-in' type='checkbox'/><label for='index-1d158508-34dd-47a4-b3ef-1d838571058e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-07-07 16:45:19.204999936&#x27;,\n",
       "                  &#x27;2022-07-07 16:45:19.940000&#x27;,\n",
       "               &#x27;2022-07-07 16:45:20.945999872&#x27;,\n",
       "               &#x27;2022-07-07 16:45:21.943000064&#x27;,\n",
       "               &#x27;2022-07-07 16:45:22.935000064&#x27;,\n",
       "                  &#x27;2022-07-07 16:45:23.944000&#x27;,\n",
       "               &#x27;2022-07-07 16:45:24.945999872&#x27;,\n",
       "               &#x27;2022-07-07 16:45:25.935000064&#x27;,\n",
       "               &#x27;2022-07-07 16:45:26.934000128&#x27;,\n",
       "               &#x27;2022-07-07 16:45:27.934000128&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-07-28 03:28:11.401999872&#x27;,\n",
       "                  &#x27;2022-07-28 03:28:12.372000&#x27;,\n",
       "                  &#x27;2022-07-28 03:28:13.372000&#x27;,\n",
       "               &#x27;2022-07-28 03:28:14.377999872&#x27;,\n",
       "               &#x27;2022-07-28 03:28:15.376999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:16.380999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:17.376999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:18.376999936&#x27;,\n",
       "               &#x27;2022-07-28 03:28:19.375000064&#x27;,\n",
       "               &#x27;2022-07-28 03:28:20.380999936&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1759051, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5766d2f-3373-466d-a4ce-db6e6fecd71c' class='xr-section-summary-in' type='checkbox'  ><label for='section-f5766d2f-3373-466d-a4ce-db6e6fecd71c' class='xr-section-summary' >Attributes: <span>(67)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>Metadata_Conventions :</span></dt><dd>CF-1.6, Unidata Dataset Discovery v1.0</dd><dt><span>acknowledgement :</span></dt><dd>Funding from Fisheries and Oceans Canada, Canadian Foundation for Innovation, BC Knowledge Development Fund</dd><dt><span>cdm_data_type :</span></dt><dd>Trajectory</dd><dt><span>comment :</span></dt><dd>Calvert Island deployment</dd><dt><span>contributor_name :</span></dt><dd>James Pegg, Jody Klymak, Tetjana Ross, Jennifer Jackson, Hayley Dosser</dd><dt><span>contributor_role :</span></dt><dd>Lead Technician, Principal Investigator, Co-PI, Co-PI, Ocean Glider Scientist</dd><dt><span>creator_email :</span></dt><dd>jklymak@uvic.ca</dd><dt><span>creator_name :</span></dt><dd>Jody Klymak</dd><dt><span>creator_url :</span></dt><dd>http://cproof.uvic.ca</dd><dt><span>ctd :</span></dt><dd>{&#x27;make&#x27;: &#x27;Seabird&#x27;, &#x27;model&#x27;: &#x27;GPCTD&#x27;, &#x27;serial&#x27;: &#x27;0329&#x27;, &#x27;long_name&#x27;: &#x27;Seabird GPCTD&#x27;, &#x27;make_model&#x27;: &#x27;Seabird GPCTD&#x27;, &#x27;factory_calibrated&#x27;: &#x27;Yes&#x27;, &#x27;calibration_date&#x27;: &#x27;20210414&#x27;, &#x27;calibration_report&#x27;: &#x27; &#x27;, &#x27;comment&#x27;: &#x27; &#x27;}</dd><dt><span>data_mode :</span></dt><dd>P</dd><dt><span>date_created :</span></dt><dd>2023-06-23T18:04:31Z</dd><dt><span>date_issued :</span></dt><dd>2023-06-23T18:04:31Z</dd><dt><span>date_modified :</span></dt><dd> </dd><dt><span>deployment_end :</span></dt><dd>2022-07-28T03:28:20.381000000</dd><dt><span>deployment_id :</span></dt><dd>70</dd><dt><span>deployment_latitude :</span></dt><dd>51.719</dd><dt><span>deployment_longitude :</span></dt><dd>-128.068</dd><dt><span>deployment_name :</span></dt><dd>dfo-bb046-20220707</dd><dt><span>deployment_start :</span></dt><dd>2022-07-07T16:45:19.205000000</dd><dt><span>deployment_station :</span></dt><dd>HKP-02</dd><dt><span>deployment_vessel :</span></dt><dd>Good Hope III</dd><dt><span>featureType :</span></dt><dd>timeseries</dd><dt><span>format_version :</span></dt><dd>IOOS_Glider_NetCDF_v2.0.nc</dd><dt><span>geospatial_lat_max :</span></dt><dd>51.728950000000005</dd><dt><span>geospatial_lat_min :</span></dt><dd>50.879149999999996</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>-128.0323</dd><dt><span>geospatial_lon_min :</span></dt><dd>-130.45725</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>glider_instrument_name :</span></dt><dd>seaexplorer</dd><dt><span>glider_model :</span></dt><dd>SeaExplorer</dd><dt><span>glider_name :</span></dt><dd>dfo-bb</dd><dt><span>glider_serial :</span></dt><dd>046</dd><dt><span>glider_wmo :</span></dt><dd>4803918</dd><dt><span>history :</span></dt><dd>CPROOF glider toolbox version: pre-tag</dd><dt><span>id :</span></dt><dd>dfo-bb046-20220707T1645</dd><dt><span>institution :</span></dt><dd>C-PROOF</dd><dt><span>keywords :</span></dt><dd>AUVS, Autonomous Underwater Vehicles, Oceans, Ocean Pressure, Water Pressure, Oceans, Ocean Temperature, Water Temperature, Oceans, Salinity/Density, Conductivity, Oceans, Salinity/Density, Density, Oceans, Salinity/Density, Salinity</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMD Science Keywords</dd><dt><span>license :</span></dt><dd>This data may be redistributed and used without restriction or warranty</dd><dt><span>metadata_link :</span></dt><dd>https://cproof.uvic.ca</dd><dt><span>naming_authority :</span></dt><dd>ca.uvic.cproof</dd><dt><span>netcdf_version :</span></dt><dd>4.0</dd><dt><span>network :</span></dt><dd>OceanGliders &gt; BOON &gt; Northeast Pacific Ocean &gt; C-PROOF, IOOS</dd><dt><span>oceanGliders site :</span></dt><dd>Calvert Island</dd><dt><span>optics :</span></dt><dd>{&#x27;make&#x27;: &#x27;Wetlabs&#x27;, &#x27;model&#x27;: &#x27;FLBBCDSLC&#x27;, &#x27;serial&#x27;: &#x27;4741&#x27;, &#x27;calibration_date&#x27;: &#x27;20180807&#x27;}</dd><dt><span>oxygen :</span></dt><dd>{&#x27;make&#x27;: &#x27;AROD_FT&#x27;, &#x27;model&#x27;: &#x27;Optode4831&#x27;, &#x27;serial&#x27;: &#x27;0054&#x27;, &#x27;calibration_date&#x27;: &#x27;20211101&#x27;}</dd><dt><span>platform_type :</span></dt><dd>SeaExplorer Glider</dd><dt><span>pressure :</span></dt><dd>{&#x27;make&#x27;: &#x27;Micron&#x27;, &#x27;model&#x27;: &#x27;Pressure&#x27;, &#x27;serial&#x27;: &#x27; &#x27;}</dd><dt><span>processing_level :</span></dt><dd>Level 0 (L0) processed data timeseries; no corrections or data screening</dd><dt><span>project :</span></dt><dd>Calvert Island Line</dd><dt><span>project_url :</span></dt><dd>https://hakai.org/location/calvert/</dd><dt><span>publisher_email :</span></dt><dd>jklymak@uvic.ca</dd><dt><span>publisher_name :</span></dt><dd>Jody Klymak</dd><dt><span>publisher_url :</span></dt><dd>http://cproof.uvic.ca</dd><dt><span>references :</span></dt><dd>cproof toolbox URL</dd><dt><span>sea_name :</span></dt><dd>Coastal Waters of Southeast Alaska and British Columbia</dd><dt><span>source :</span></dt><dd>Observational data from a profiling glider.</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v49</dd><dt><span>summary :</span></dt><dd>Glider deployed near Calvert Island BC as part of the C-PROOF glider program. Glider is on a repeat sampling line - the Calvert Line - running from near Calvert Island to beyond the shelf break in Queen Charlotte Sound, before returning to the deployment location.</dd><dt><span>time_coverage_end :</span></dt><dd>2022-07-28T03:28:20.381000000</dd><dt><span>time_coverage_start :</span></dt><dd>2022-07-07T16:45:19.205000000</dd><dt><span>title :</span></dt><dd>dfo-bb046-20220707T1645</dd><dt><span>transmission_system :</span></dt><dd>IRIDIUM</dd><dt><span>wmo_id :</span></dt><dd>4803918</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (time: 1759051)\n",
       "Coordinates:\n",
       "  * time                   (time) datetime64[ns] 2022-07-07T16:45:19.20499993...\n",
       "    latitude               (time) float64 51.72 51.72 51.72 ... 51.71 51.71\n",
       "    longitude              (time) float64 -128.1 -128.1 -128.1 ... -128.1 -128.1\n",
       "    depth                  (time) float64 -0.09913 1.16 ... -0.3073 -0.3073\n",
       "    pind                   (time) float64 ...\n",
       "Data variables: (12/23)\n",
       "    heading                (time) float64 ...\n",
       "    pitch                  (time) float64 ...\n",
       "    roll                   (time) float64 ...\n",
       "    conductivity           (time) float64 ...\n",
       "    temperature            (time) float64 ...\n",
       "    pressure               (time) float64 -0.1 1.17 1.41 ... -0.31 -0.31 -0.31\n",
       "    ...                     ...\n",
       "    potential_temperature  (time) float64 ...\n",
       "    conductivity_adjusted  (time) float64 ...\n",
       "    temperature_adjusted   (time) float64 14.18 14.69 14.46 ... nan nan nan\n",
       "    salinity_adjusted      (time) float64 24.86 21.92 22.54 ... nan nan nan\n",
       "    density_adjusted       (time) float64 ...\n",
       "    oxygen_adjusted        (time) float64 450.0 450.0 455.4 ... nan nan nan\n",
       "Attributes: (12/67)\n",
       "    Conventions:               CF-1.6\n",
       "    Metadata_Conventions:      CF-1.6, Unidata Dataset Discovery v1.0\n",
       "    acknowledgement:           Funding from Fisheries and Oceans Canada, Cana...\n",
       "    cdm_data_type:             Trajectory\n",
       "    comment:                   Calvert Island deployment\n",
       "    contributor_name:          James Pegg, Jody Klymak, Tetjana Ross, Jennife...\n",
       "    ...                        ...\n",
       "    summary:                   Glider deployed near Calvert Island BC as part...\n",
       "    time_coverage_end:         2022-07-28T03:28:20.381000000\n",
       "    time_coverage_start:       2022-07-07T16:45:19.205000000\n",
       "    title:                     dfo-bb046-20220707T1645\n",
       "    transmission_system:       IRIDIUM\n",
       "    wmo_id:                    4803918"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "08059279-c134-42bd-909c-e0d1835381ac",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'./dfo-bb046-20220707//dfo-bb046-20220707_grid.nc'"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pyglider.ncprocess as ncprocess\n",
    "#ncprocess.make_gridfiles(deploy_prefix+deploy_name+'_corrected_v2.nc',deploy_prefix,'deployment.yml',fnamesuffix='_corrected_v2')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58beebcd-0e9d-4811-a470-44bbf0a56d29",
   "metadata": {},
   "source": [
    "jupyter nbconvert Oxygen_dfo-bb046-20220707_v2.ipynb --to=webpdf --TemplateExporter.exclude_input=True"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pyglider2",
   "language": "python",
   "name": "pyglider2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
