diff --git a/notebooks/argo-access.ipynb b/notebooks/argo-access.ipynb
index 4ba7e5da..9e625e1d 100644
--- a/notebooks/argo-access.ipynb
+++ b/notebooks/argo-access.ipynb
@@ -33,15 +33,18 @@
"source": [
"## Overview\n",
"\n",
- "Building upon previous notebook, [Introduction to Argo](notebooks/argo-introduction.ipynb), we next explore how to access Argo data in a few different ways. \n",
+ "Building upon previous notebook, [Introduction to Argo](notebooks/argo-introduction.ipynb), we next explore how to access Argo data using various methods.\n",
"\n",
- "1. Data formats for Argo profiles\n",
- "2. Downloading [monthly snapshots](http://www.argodatamgt.org/Access-to-data/Argo-DOI-Digital-Object-Identifier) using Argo DOI's\n",
- "3. Using [Argovis](https://argovis.colorado.edu/argo) for API-based queries \n",
- "4. Using the [GO-BGC Toolbox](https://github.com/go-bgc/workshop-python)\n",
- "5. Using [Argopy](https://argopy.readthedocs.io/en/latest/user-guide/fetching-argo-data/index.html), a dedicated Python package\n",
+ "These methods are described in more detail on their respective websites, linked below. Our goal here is to provide a brief overview of some of the different tools available. \n",
"\n",
- "After going through this notebook, you will be able to retrieve Argo data of interest within a certain time frame, geographical location, or by platform identifier. There are many ways of working with Argo data which are not described here. \n",
+ "1. [GO-BGC Toolbox](https://github.com/go-bgc/workshop-python) \n",
+ "2. [Argopy](https://argopy.readthedocs.io/en/latest/user-guide/fetching-argo-data/index.html), a dedicated Python package\n",
+ "3. [Argovis](https://argovis.colorado.edu/argo) for API-based queries \n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "After going through this notebook, you will be able to retrieve Argo data of interest within a certain time frame, geographical location, or by platform identifier. There are many other ways of working with Argo data, so we encourage users to explore what applications work best for their needs. \n",
"Further information on Argo access can be found on the [Argo website](https://argo.ucsd.edu/data/)."
]
},
@@ -79,7 +82,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 59,
"metadata": {},
"outputs": [],
"source": [
@@ -92,9 +95,15 @@
"import xarray as xr\n",
"from datetime import datetime, timedelta\n",
"\n",
+ "import requests\n",
+ "import time\n",
+ "import urllib3\n",
+ "import shutil\n",
+ "\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.colors as mcolors\n",
"import seaborn as sns\n",
+ "from cmocean import cm as cmo\n",
"\n",
"from argovisHelpers import helpers as avh"
]
@@ -103,595 +112,310 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Snapshots"
+ "## 1. Downloading with the GO-BGC Toolbox\n",
+ "\n",
+ "In the previous notebook, [Introduction to Argo](notebooks/argo-introduction.ipynb), we saw how Argo synthetic profile ('[sprof](https://archimer.ifremer.fr/doc/00445/55637/)') data is stored in netcdf4 format.\n",
+ "\n",
+ "Using the GDAC function allows you to subset and download Sprof's for multiple floats. \n",
+ "We recommend this tool for users who only need a few profilesd in a specific area of interest. \n",
+ "Considerations: \n",
+ "- Easy to use and understand\n",
+ "- Downloads float data as individual .nc files to your local machine (takes up storage space)\n",
+ "- Must download all variables available (cannot subset only variables of interest)\n",
+ "\n",
+ "The two major functions below are courtesy of the [GO-BGC Toolbox](https://github.com/go-bgc/workshop-python) (Ethan Campbell). A full tutorial is available in the Toolbox.\n"
]
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
+ "# # Base filepath. Need for Argo GDAC function.z\n",
+ "# root = '/Users/sangminsong/Library/CloudStorage/OneDrive-UW/Code/2024_Pythia/'\n",
+ "# profile_dir = root + 'SOCCOM_GO-BGC_LoResQC_LIAR_28Aug2023_netcdf/'\n",
+ "\n",
"# # Base filepath. Need for Argo GDAC function.\n",
- "root = '/Users/sangminsong/Library/CloudStorage/OneDrive-UW/Code/2024_Pythia/'\n",
- "profile_dir = root + 'SOCCOM_GO-BGC_LoResQC_LIAR_28Aug2023_netcdf/'"
+ "root = '../data/'\n",
+ "profile_dir = root + 'bgc-argo/'"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": null,
"metadata": {},
"outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
"source": [
- "DSdict = {}\n",
- "for filename in os.listdir(profile_dir):\n",
- " if filename.endswith(\".nc\"):\n",
- " fp = profile_dir + filename\n",
- " single_dataset = xr.open_dataset(fp, decode_times=False)\n",
- " DSdict[filename[0:7]] = single_dataset\n",
- "# DSdict['5906030']"
+ "### 1.0 GO-BGC Toolbox Functions"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 63,
"metadata": {},
- "outputs": [
- {
- "data": {
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Comments :
\n",
- "//0\n",
- "//<Encoding>UTF-8</Encoding>\n",
- "//File updated on 08/26/2023 15:30\n",
- "//!! ADJUSTED DATA FILE !!\n",
- "//WMO ID: 5906007\n",
- "//Institution ID: 12880\n",
- "//MBARI ID: ua12880\n",
- "//Project Name: SOCCOM\n",
- "//Region: SO\n",
- "//No missing float profiles\n",
- "//Missing Float position interpolated for station(s): 93 94 95 \n",
- "//Latitude quality flag = 4 for interpolated float positions\n",
- "//Missing Float data detected for adjusted station(s): 1 \n",
- "//\n",
- "//FLOAT VARIABLES:\n",
- "//Variable Sensor Serial number Comment\n",
- "//Pressure[dbar] Sbe41cp 10444 \n",
- "//Temperature[°C] Sbe41cp 10444 \n",
- "//Salinity[pss] Sbe41cp 10444 \n",
- "//Sigma_theta[kg/m^3] Potential density at the sea surface\n",
- "//Depth[m] Depth calculated from pressure and latitude\n",
- "//Oxygen[µmol/kg] Aanderaa 4330 2857 \n",
- "//OxygenSat[%] Calculation assumes atmospheric pressure= 1013.25 mbar\n",
- "//Nitrate[µmol/kg] ISUS Lamp#L6.A01.0148 Spec#108002 Equitech Ti probe #1703.23 MBARI ARGO float#813 DF#225 CTD#10444 \n",
- "//Chl_a[mg/m^3] FLBBAP2 4681 See: Boss, E.B. and N. Haëntjens, 2016. http://soccom.princeton.edu/sites/default/files/files/SOCCOM_2016-1_Bio-optics-primer.pdf\n",
- "//b_bp700[1/m] FLBBAP2 4681 See: Boss, E.B. and N. Haëntjens, 2016. http://soccom.princeton.edu/sites/default/files/files/SOCCOM_2016-1_Bio-optics-primer.pdf\n",
- "//POC[mmol/m^3] FLBBAP2 4681 See: Boss, E.B. and N. Haëntjens, 2016. http://soccom.princeton.edu/sites/default/files/files/SOCCOM_2016-1_Bio-optics-primer.pdf\n",
- "//pHinsitu[Total] Durafet 225 \n",
- "//pH25C[Total] Durafet 225 estimated with CO2SYS(TALK_LIAR,pHinsitu) for Matlab see note below\n",
- "//TALK_LIAR[µmol/kg] TALK_LIAR = Alkalinity estimated with the LIAR V2.2 algorithim Eqn7, MeasIDVec = [1 6 7] (PSAL, DOXY_ADJ, TEMP), (Carter et al., 2016,doi:10.1002/lom3.10087; Carter et al., 2017, https://doi.org/10.1002/lom3.10232).LIAR code used was downloaded on 10/31/2018 from https://github.com/BRCScienceProducts/LIRs.\n",
- "//DIC_LIAR[µmol/kg] estimated with CO2SYS(TALK_LIAR,pHinsitu) for Matlab (see note below)\n",
- "//pCO2_LIAR[µatm] estimated with CO2SYS(TALK_LIAR,biased pHinsitu) for Matlab (see note below)\n",
- "//\n",
- "//NOTE ON CO2SYS CARBONATE SYSTEM CALCULATIONS:\n",
- "//All carbonate system variables calculated with CO2SYS for Matlab\n",
- "//(Sharp et al., 2020; see also Lewis and Wallace 1998)\n",
- "//used the following conditions: pH was reported on the total scale.\n",
- "//K1 and K2 dissociation constants were from Lueker et al., 2000, doi:\n",
- "//10.1016/S0304-4203(00)00022-0. The KSO4 dissociation constant was\n",
- "//from Dickson, 1990, doi: 10.1016/0021-9614(90)90074-Z. The KF dissociation\n",
- "//constant was from Perez and Fraga 1987, doi: 10.1016/0304-4203(87)90036-3.\n",
- "//The borate to salinity ratio was from Lee et al., 2010,\n",
- "//doi:10.1016/j.gca.2009.12.027. Silicate and Phosphate were not\n",
- "//measured by the float, but estimates based on Redfieldian ratios improved\n",
- "//the carbonate system estimates. If a nitrate value was considered to\n",
- "//be of good quality silicate = nitrate*2.5 and phosphate = nitrate/16,\n",
- "//otherwise the best estimate for both was considered to be 0. When pCO2\n",
- "//was estimated from TALK_LIAR and pHinsitu, a bias was first added to pHinsitu\n",
- "//following Williams et al., 2017, doi: https://doi.org/10.1002/2016GB005541 , section 3.4, equation 3.\n",
- "//This correction is not necessary for DIC and DIC is computed with the reported pH and the TALK_LIAR value.\n",
- "//\n",
- "//NOTE ON Chl_a [mg/m^3] CONCENTRATION:\n",
- "//There is community-established calibration bias of 2 for the WET Labs 413 ECO-series fluorometers\n",
- "//(Roesler et al, 2017, doi: 10.1002/lom3.10185).\n",
- "//Chl_a has been recalculated using in situ measured dark counts. Chl_a is then divided by the Roesler factor of 2.\n",
- "//Lastly, profiles with sun elevaltion > 0 are corrected for NPQ (Xing et al, 2012, doi: 10.4319/lom.2012.10.483)\n",
- "//with uncorrected spikes (raw-filtered data) added back to the corrected profile.\n",
- "//\n",
- "//QUALITY CONTROLLED DATA CORRECTIONS:\n",
- "//Measurement Station Gain Offset Drift\n",
- "//Oxygen 1 1.0862 0.0000 0.0000\n",
- "//Nitrate 1 1.0000 -0.4086 -42.7354\n",
- "//Nitrate 3 1.0000 -1.6984 0.3811\n",
- "//Nitrate 117 1.0000 -0.6807 0.0000\n",
- "//pH 1 1.0000 -0.0166 0.9534\n",
- "//pH 3 1.0000 0.0156 -0.0425\n",
- "//pH 21 1.0000 -0.0256 1.0127\n",
- "//pH 23 1.0000 -0.0310 0.0272\n",
- "//pH 36 1.0000 0.0032 -0.2867\n",
- "//pH 40 1.0000 -0.0014 0.0000\n",
- "//pH 54 1.0000 -0.0151 0.0000\n",
- "//pH 69 1.0000 -0.0044 -0.0139\n",
- "//pH 107 1.0000 0.0003 0.0410\n",
- "//pH 116 1.0000 -0.0122 0.0000\n",
- "//pH 117 1.0000 -0.0055 0.0000\n",
- "//\n",
- "//Missing data value = -1e10\n",
- "//Data quality flags: 0=Good, 4=Questionable, 8=Bad, 1=Missing or not inspected \n",
- "//Note: all timestamps are in GMT.
"
- ],
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- " Size: 2MB\n",
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- "metadata": {},
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- }
- ],
+ "outputs": [],
"source": [
- "DSdict['5906007']\n"
+ "# Function to download a single file (From GO-BGC Toolbox)\n",
+ "def download_file(url_path,filename,save_to=None,overwrite=False,verbose=True):\n",
+ " \"\"\" Downloads and saves a file from a given URL using HTTP protocol.\n",
+ "\n",
+ " Note: If '404 file not found' error returned, function will return without downloading anything.\n",
+ " \n",
+ " Arguments:\n",
+ " url_path: root URL to download from including trailing slash ('/')\n",
+ " filename: filename to download including suffix\n",
+ " save_to: None (to download to root Google Drive GO-BGC directory)\n",
+ " or directory path\n",
+ " overwrite: False to leave existing files in place\n",
+ " or True to overwrite existing files\n",
+ " verbose: True to announce progress\n",
+ " or False to stay silent\n",
+ " \n",
+ " \"\"\"\n",
+ " urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)\n",
+ "\n",
+ " if save_to is None:\n",
+ " save_to = root #profile_dir # EDITED HERE\n",
+ "\n",
+ " try:\n",
+ " if filename in os.listdir(save_to):\n",
+ " if not overwrite:\n",
+ " if verbose: print('>>> File ' + filename + ' already exists. Leaving current version.')\n",
+ " return\n",
+ " else:\n",
+ " if verbose: print('>>> File ' + filename + ' already exists. Overwriting with new version.')\n",
+ "\n",
+ " def get_func(url,stream=True):\n",
+ " try:\n",
+ " return requests.get(url,stream=stream,auth=None,verify=False)\n",
+ " except requests.exceptions.ConnectionError as error_tag:\n",
+ " print('Error connecting:',error_tag)\n",
+ " time.sleep(1)\n",
+ " return get_func(url,stream=stream)\n",
+ "\n",
+ " response = get_func(url_path + filename,stream=True)\n",
+ "\n",
+ " if response.status_code == 404:\n",
+ " if verbose: print('>>> File ' + filename + ' returned 404 error during download.')\n",
+ " return\n",
+ " with open(save_to + filename,'wb') as out_file:\n",
+ " shutil.copyfileobj(response.raw,out_file)\n",
+ " del response\n",
+ " if verbose: print('>>> Successfully downloaded ' + filename + '.')\n",
+ "\n",
+ " except:\n",
+ " if verbose: print('>>> An error occurred while trying to download ' + filename + '.')"
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 64,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'/Users/sangminsong/Library/CloudStorage/OneDrive-UW/Code/2024_Pythia/SOCCOM_GO-BGC_LoResQC_LIAR_28Aug2023_netcdf/'"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
- "profile_dir"
+ "# Function to download and parse GDAC synthetic profile index file (GO-BGC Toolbox)\n",
+ "def argo_gdac(lat_range=None,lon_range=None,start_date=None,end_date=None,sensors=None,floats=None,\n",
+ " overwrite_index=False,overwrite_profiles=False,skip_download=False,\n",
+ " download_individual_profs=False,save_to=None,verbose=True):\n",
+ " \"\"\" Downloads GDAC Sprof index file, then selects float profiles based on criteria.\n",
+ " Either returns information on profiles and floats (if skip_download=True) or downloads them (if False).\n",
+ "\n",
+ " Arguments:\n",
+ " lat_range: None, to select all latitudes\n",
+ " or [lower, upper] within -90 to 90 (selection is inclusive)\n",
+ " lon_range: None, to select all longitudes\n",
+ " or [lower, upper] within either -180 to 180 or 0 to 360 (selection is inclusive)\n",
+ " NOTE: longitude range is allowed to cross -180/180 or 0/360\n",
+ " start_date: None or datetime object\n",
+ " end_date: None or datetime object\n",
+ " sensors: None, to select profiles with any combination of sensors\n",
+ " or string or list of strings to specify required sensors\n",
+ " > note that common options include PRES, TEMP, PSAL, DOXY, CHLA, BBP700,\n",
+ " PH_IN_SITU_TOTAL, and NITRATE\n",
+ " floats: None, to select any floats matching other criteria\n",
+ " or int or list of ints specifying floats' WMOID numbers\n",
+ " overwrite_index: False to keep existing downloaded GDAC index file, or True to download new index\n",
+ " overwrite_profiles: False to keep existing downloaded profile files, or True to download new files\n",
+ " skip_download: True to skip download and return: (, ,\n",
+ " )\n",
+ " or False to download those profiles\n",
+ " download_individual_profs: False to download single Sprof file containing all profiles for each float\n",
+ " or True to download individual profile files for each float\n",
+ " save_to: None to download to Google Drive \"/GO-BGC Workshop/Profiles\" directory\n",
+ " or string to specify directory path for profile downloads\n",
+ " verbose: True to announce progress, or False to stay silent\n",
+ "\n",
+ " \"\"\"\n",
+ " # Paths\n",
+ " url_root = 'https://www.usgodae.org/ftp/outgoing/argo/'\n",
+ " dac_url_root = url_root + 'dac/'\n",
+ " index_filename = 'argo_synthetic-profile_index.txt'\n",
+ " if save_to is None: save_to = root\n",
+ "\n",
+ " # Download GDAC synthetic profile index file\n",
+ " download_file(url_root,index_filename,overwrite=overwrite_index)\n",
+ "\n",
+ " # Load index file into Pandas DataFrame\n",
+ " gdac_index = pd.read_csv(root + index_filename,delimiter=',',header=8,parse_dates=['date','date_update'],\n",
+ " date_parser=lambda x: pd.to_datetime(x,format='%Y%m%d%H%M%S'))\n",
+ "\n",
+ " # Establish time and space criteria\n",
+ " if lat_range is None: lat_range = [-90.0,90.0]\n",
+ " if lon_range is None: lon_range = [-180.0,180.0]\n",
+ " elif lon_range[0] > 180 or lon_range[1] > 180:\n",
+ " if lon_range[0] > 180: lon_range[0] -= 360\n",
+ " if lon_range[1] > 180: lon_range[1] -= 360\n",
+ " if start_date is None: start_date = datetime(1900,1,1)\n",
+ " if end_date is None: end_date = datetime(2200,1,1)\n",
+ "\n",
+ " float_wmoid_regexp = r'[a-z]*/[0-9]*/profiles/[A-Z]*([0-9]*)_[0-9]*[A-Z]*.nc'\n",
+ " gdac_index['wmoid'] = gdac_index['file'].str.extract(float_wmoid_regexp).astype(int)\n",
+ " filepath_main_regexp = '([a-z]*/[0-9]*/)profiles/[A-Z]*[0-9]*_[0-9]*[A-Z]*.nc'\n",
+ " gdac_index['filepath_main'] = gdac_index['file'].str.extract(filepath_main_regexp)\n",
+ " filepath_regexp = '([a-z]*/[0-9]*/profiles/)[A-Z]*[0-9]*_[0-9]*[A-Z]*.nc'\n",
+ " gdac_index['filepath'] = gdac_index['file'].str.extract(filepath_regexp)\n",
+ " filename_regexp = '[a-z]*/[0-9]*/profiles/([A-Z]*[0-9]*_[0-9]*[A-Z]*.nc)'\n",
+ " gdac_index['filename'] = gdac_index['file'].str.extract(filename_regexp)\n",
+ "\n",
+ " # Subset profiles based on time and space criteria\n",
+ " gdac_index_subset = gdac_index.loc[np.logical_and.reduce([gdac_index['latitude'] >= lat_range[0],\n",
+ " gdac_index['latitude'] <= lat_range[1],\n",
+ " gdac_index['date'] >= start_date,\n",
+ " gdac_index['date'] <= end_date]),:]\n",
+ " if lon_range[1] >= lon_range[0]: # range does not cross -180/180 or 0/360\n",
+ " gdac_index_subset = gdac_index_subset.loc[np.logical_and(gdac_index_subset['longitude'] >= lon_range[0],\n",
+ " gdac_index_subset['longitude'] <= lon_range[1])]\n",
+ " elif lon_range[1] < lon_range[0]: # range crosses -180/180 or 0/360\n",
+ " gdac_index_subset = gdac_index_subset.loc[np.logical_or(gdac_index_subset['longitude'] >= lon_range[0],\n",
+ " gdac_index_subset['longitude'] <= lon_range[1])]\n",
+ "\n",
+ " # If requested, subset profiles using float WMOID criteria\n",
+ " if floats is not None:\n",
+ " if type(floats) is not list: floats = [floats]\n",
+ " gdac_index_subset = gdac_index_subset.loc[gdac_index_subset['wmoid'].isin(floats),:]\n",
+ "\n",
+ " # If requested, subset profiles using sensor criteria\n",
+ " if sensors is not None:\n",
+ " if type(sensors) is not list: sensors = [sensors]\n",
+ " for sensor in sensors:\n",
+ " gdac_index_subset = gdac_index_subset.loc[gdac_index_subset['parameters'].str.contains(sensor),:]\n",
+ "\n",
+ " # Examine subsetted profiles\n",
+ " wmoids = gdac_index_subset['wmoid'].unique()\n",
+ " wmoid_filepaths = gdac_index_subset['filepath_main'].unique()\n",
+ "\n",
+ " # Just return list of floats and DataFrame with subset of index file, or download each profile\n",
+ " if not skip_download:\n",
+ " downloaded_filenames = []\n",
+ " if download_individual_profs:\n",
+ " for p_idx in gdac_index_subset.index:\n",
+ " download_file(dac_url_root + gdac_index_subset.loc[p_idx]['filepath'],\n",
+ " gdac_index_subset.loc[p_idx]['filename'],\n",
+ " save_to=save_to,overwrite=overwrite_profiles,verbose=verbose)\n",
+ " downloaded_filenames.append(gdac_index_subset.loc[p_idx]['filename'])\n",
+ " else:\n",
+ " for f_idx, wmoid_filepath in enumerate(wmoid_filepaths):\n",
+ " download_file(dac_url_root + wmoid_filepath,str(wmoids[f_idx]) + '_Sprof.nc',\n",
+ " save_to=save_to,overwrite=overwrite_profiles,verbose=verbose)\n",
+ " downloaded_filenames.append(str(wmoids[f_idx]) + '_Sprof.nc')\n",
+ " return wmoids, gdac_index_subset, downloaded_filenames\n",
+ " else:\n",
+ " return wmoids, gdac_index_subset"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 1.1 Using GDAC function to access Argo subsets"
]
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "ename": "ValueError",
- "evalue": "unrecognized chunk manager dask - must be one of: []",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
- "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mxr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_mfdataset\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/Users/sangminsong/Library/CloudStorage/OneDrive-UW/Code/2024_Pythia/SOCCOM_GO-BGC_LoResQC_LIAR_28Aug2023_netcdf/*.nc\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
- "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/envs/sklearn-argo-dev/lib/python3.9/site-packages/xarray/backends/api.py:1054\u001b[0m, in \u001b[0;36mopen_mfdataset\u001b[0;34m(paths, chunks, concat_dim, compat, preprocess, engine, data_vars, coords, combine, parallel, join, attrs_file, combine_attrs, **kwargs)\u001b[0m\n\u001b[1;32m 1051\u001b[0m open_ \u001b[38;5;241m=\u001b[39m open_dataset\n\u001b[1;32m 1052\u001b[0m getattr_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m\n\u001b[0;32m-> 1054\u001b[0m datasets \u001b[38;5;241m=\u001b[39m [open_(p, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mopen_kwargs) \u001b[38;5;28;01mfor\u001b[39;00m p \u001b[38;5;129;01min\u001b[39;00m paths]\n\u001b[1;32m 1055\u001b[0m closers \u001b[38;5;241m=\u001b[39m [getattr_(ds, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_close\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m ds \u001b[38;5;129;01min\u001b[39;00m datasets]\n\u001b[1;32m 1056\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m preprocess \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
- "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/envs/sklearn-argo-dev/lib/python3.9/site-packages/xarray/backends/api.py:1054\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 1051\u001b[0m open_ \u001b[38;5;241m=\u001b[39m open_dataset\n\u001b[1;32m 1052\u001b[0m getattr_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m\n\u001b[0;32m-> 1054\u001b[0m datasets \u001b[38;5;241m=\u001b[39m [\u001b[43mopen_\u001b[49m\u001b[43m(\u001b[49m\u001b[43mp\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mopen_kwargs\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m p \u001b[38;5;129;01min\u001b[39;00m paths]\n\u001b[1;32m 1055\u001b[0m closers \u001b[38;5;241m=\u001b[39m [getattr_(ds, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_close\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m ds \u001b[38;5;129;01min\u001b[39;00m datasets]\n\u001b[1;32m 1056\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m preprocess \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
- "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/envs/sklearn-argo-dev/lib/python3.9/site-packages/xarray/backends/api.py:577\u001b[0m, in \u001b[0;36mopen_dataset\u001b[0;34m(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m 570\u001b[0m overwrite_encoded_chunks \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moverwrite_encoded_chunks\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[1;32m 571\u001b[0m backend_ds \u001b[38;5;241m=\u001b[39m backend\u001b[38;5;241m.\u001b[39mopen_dataset(\n\u001b[1;32m 572\u001b[0m filename_or_obj,\n\u001b[1;32m 573\u001b[0m drop_variables\u001b[38;5;241m=\u001b[39mdrop_variables,\n\u001b[1;32m 574\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mdecoders,\n\u001b[1;32m 575\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m 576\u001b[0m )\n\u001b[0;32m--> 577\u001b[0m ds \u001b[38;5;241m=\u001b[39m \u001b[43m_dataset_from_backend_dataset\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 578\u001b[0m \u001b[43m \u001b[49m\u001b[43mbackend_ds\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 579\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 580\u001b[0m \u001b[43m \u001b[49m\u001b[43mengine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 581\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunks\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 582\u001b[0m \u001b[43m \u001b[49m\u001b[43mcache\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 583\u001b[0m \u001b[43m \u001b[49m\u001b[43moverwrite_encoded_chunks\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 584\u001b[0m \u001b[43m \u001b[49m\u001b[43minline_array\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 585\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunked_array_type\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 586\u001b[0m \u001b[43m \u001b[49m\u001b[43mfrom_array_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 587\u001b[0m \u001b[43m \u001b[49m\u001b[43mdrop_variables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdrop_variables\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 588\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdecoders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 589\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 590\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 591\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ds\n",
- "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/envs/sklearn-argo-dev/lib/python3.9/site-packages/xarray/backends/api.py:370\u001b[0m, in \u001b[0;36m_dataset_from_backend_dataset\u001b[0;34m(backend_ds, filename_or_obj, engine, chunks, cache, overwrite_encoded_chunks, inline_array, chunked_array_type, from_array_kwargs, **extra_tokens)\u001b[0m\n\u001b[1;32m 368\u001b[0m ds \u001b[38;5;241m=\u001b[39m backend_ds\n\u001b[1;32m 369\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 370\u001b[0m ds \u001b[38;5;241m=\u001b[39m \u001b[43m_chunk_ds\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 371\u001b[0m \u001b[43m \u001b[49m\u001b[43mbackend_ds\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 372\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 373\u001b[0m \u001b[43m \u001b[49m\u001b[43mengine\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 374\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunks\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 375\u001b[0m \u001b[43m \u001b[49m\u001b[43moverwrite_encoded_chunks\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 376\u001b[0m \u001b[43m \u001b[49m\u001b[43minline_array\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 377\u001b[0m \u001b[43m \u001b[49m\u001b[43mchunked_array_type\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 378\u001b[0m \u001b[43m \u001b[49m\u001b[43mfrom_array_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 379\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mextra_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 380\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 382\u001b[0m ds\u001b[38;5;241m.\u001b[39mset_close(backend_ds\u001b[38;5;241m.\u001b[39m_close)\n\u001b[1;32m 384\u001b[0m \u001b[38;5;66;03m# Ensure source filename always stored in dataset object\u001b[39;00m\n",
- "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/envs/sklearn-argo-dev/lib/python3.9/site-packages/xarray/backends/api.py:318\u001b[0m, in \u001b[0;36m_chunk_ds\u001b[0;34m(backend_ds, filename_or_obj, engine, chunks, overwrite_encoded_chunks, inline_array, chunked_array_type, from_array_kwargs, **extra_tokens)\u001b[0m\n\u001b[1;32m 307\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_chunk_ds\u001b[39m(\n\u001b[1;32m 308\u001b[0m backend_ds,\n\u001b[1;32m 309\u001b[0m filename_or_obj,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mextra_tokens,\n\u001b[1;32m 317\u001b[0m ):\n\u001b[0;32m--> 318\u001b[0m chunkmanager \u001b[38;5;241m=\u001b[39m \u001b[43mguess_chunkmanager\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchunked_array_type\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 320\u001b[0m \u001b[38;5;66;03m# TODO refactor to move this dask-specific logic inside the DaskManager class\u001b[39;00m\n\u001b[1;32m 321\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(chunkmanager, DaskManager):\n",
- "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/envs/sklearn-argo-dev/lib/python3.9/site-packages/xarray/namedarray/parallelcompat.py:117\u001b[0m, in \u001b[0;36mguess_chunkmanager\u001b[0;34m(manager)\u001b[0m\n\u001b[1;32m 115\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(manager, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m 116\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m manager \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m chunkmanagers:\n\u001b[0;32m--> 117\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 118\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munrecognized chunk manager \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmanager\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m - must be one of: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlist\u001b[39m(chunkmanagers)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 119\u001b[0m )\n\u001b[1;32m 121\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m chunkmanagers[manager]\n\u001b[1;32m 122\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(manager, ChunkManagerEntrypoint):\n\u001b[1;32m 123\u001b[0m \u001b[38;5;66;03m# already a valid ChunkManager so just pass through\u001b[39;00m\n",
- "\u001b[0;31mValueError\u001b[0m: unrecognized chunk manager dask - must be one of: []"
- ]
- }
- ],
+ "outputs": [],
"source": [
- "# xr.open_mfdataset(\"/Users/sangminsong/Library/CloudStorage/OneDrive-UW/Code/2024_Pythia/SOCCOM_GO-BGC_LoResQC_LIAR_28Aug2023_netcdf/*.nc\")"
+ "# dont download, just get wmoids\n",
+ "# wmoids, gdac_index = argo_gdac(lat_range=lat_bounds,lon_range=lon_bounds,\n",
+ "# start_date=start_yd,end_date=end_yd,\n",
+ "# sensors=None,floats=None,\n",
+ "# overwrite_index=True,overwrite_profiles=False,\n",
+ "# skip_download=True,download_individual_profs=False,\n",
+ "# save_to=profile_dir,verbose=True)\n",
+ "\n",
+ "# download specific float #5906030 \n",
+ "wmoids, gdac_index, downloaded_filenames \\\n",
+ " = argo_gdac(lat_range=None,lon_range=None,\n",
+ " start_date=None,end_date=None,\n",
+ " sensors=None,floats=5906030,\n",
+ " overwrite_index=True,overwrite_profiles=False,\n",
+ " skip_download=False,download_individual_profs=False,\n",
+ " save_to=profile_dir,verbose=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# DSdict = {}\n",
+ "# for filename in os.listdir(profile_dir):\n",
+ "# if filename.endswith(\".nc\"):\n",
+ "# fp = profile_dir + filename\n",
+ "# single_dataset = xr.open_dataset(fp, decode_times=False)\n",
+ "# DSdict[filename[0:7]] = single_dataset\n",
+ "# # DSdict['5906030']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## 2. Using the Argopy Python Package"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Argovis"
+ "## 3. Querying Data with Argovis"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Argovis provides an API that allows us to interact with Argo data while only downloading the exact subsets of data needed for analysis. "
+ "Argovis provides an API that allows us to interact with Argo data while only downloading the exact subsets of data needed for analysis. \n",
+ "Our examples here are modified from the [tutorial notebooks](https://github.com/argovis/demo_notebooks) released by Argovis. We showcase only a few of the functionalities, but more information can be found in the previous link.\n",
+ "\n",
+ "The introduction published by Argovis:\n",
+ ">\"Argovis is a REST API and web application for searching, downloading, co-locating and visualizing oceanographic data, including Argo array data, ship-based profile data, data from the Global Drifter Program, tropical cyclone data, and several gridded products. Our API is meant to be integrated into living documents like Jupyter notebooks and analyses intended to update their consumption of Argo data in near-real-time, and our web frontend is intended to make it easy for students and educators to explore data about Earth's oceans at will.\"\n",
+ "\n",
+ "Argovis should be cited as:\n",
+ "\n",
+ "Tucker, T., D. Giglio, M. Scanderbeg, and S.S.P. Shen: Argovis: A Web Application for Fast Delivery, Visualization, and Analysis of Argo Data. J. Atmos. Oceanic Technol., 37, 401–416, https://doi.org/10.1175/JTECH-D-19-0041.1\n"
]
},
{
@@ -705,8 +429,6 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We will be using the Argovis capabilities\n",
- "\n",
"From the Argovis tutorial: \n",
"> In order to allocate Argovis's limited computing resources fairly, users are encouraged to register and request a free API key. This works like a password that identifies your requests to Argovis. To do so:\n",
">\n",
@@ -733,7 +455,14 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We set up our query parameters using a Dictionary before requesting data: "
+ "### Getting Argo data documents"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Before actually getting Argo measurements, we can query information about the profile (including pointers to the metadata)."
]
},
{
@@ -790,20 +519,9 @@
"argoProfiles[0]"
]
},
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Note that the first object in argoProfiles is a single vertical Argo \"profile\". \n",
- "The first 7 digits of `argoProfiles[0]['_id']` refer to a float's WMO unique identification number. \n",
- "The last three digits are the profile number. \n",
- "\n",
- "In the above example, we are looking at data from the 256th profile from float WMO #1901820."
- ]
- },
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 33,
"metadata": {},
"outputs": [
{
@@ -812,7 +530,7 @@
"'1901820_256'"
]
},
- "execution_count": 13,
+ "execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
@@ -825,12 +543,23 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can also request metadata using the argo/meta "
+ "Note that the first object in argoProfiles is a single vertical Argo \"profile\". \n",
+ "The first 7 digits of `argoProfiles[0]['_id']` refer to a float's WMO unique identification number. \n",
+ "The last three digits are the profile number. \n",
+ "\n",
+ "In the above example, we are looking at data from the 256th profile from float WMO #1901820."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We can get more information about this particular float by querying `argo/meta`."
]
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 34,
"metadata": {},
"outputs": [
{
@@ -849,7 +578,7 @@
" 'wmo_inst_type': '854'}]"
]
},
- "execution_count": 15,
+ "execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
@@ -858,14 +587,20 @@
"metaOptions = {\n",
" 'id': argoProfiles[0]['metadata'][0]\n",
"}\n",
- "\n",
"argoMeta = avh.query('argo/meta', options=metaOptions, apikey=API_KEY, apiroot=API_ROOT)\n",
"argoMeta"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We can also specify all of the profiles taken from the same float with WMO ID 1901820."
+ ]
+ },
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 31,
"metadata": {},
"outputs": [
{
@@ -896,18 +631,44 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "We can query float profiles within these bounds: "
+ "Now, we want to retrieve actual measurements. We can use any number of identifiers. \n",
+ "\n",
+ "Below, we are specifying float WMO 4901283 and profile #003. The `data` variable can be:\n",
+ "\n",
+ "- A comma separated list of variable names, e.g. `'temperature, doxy'`\n",
+ "- `'all'`, meaning get all available variables. "
]
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 40,
"metadata": {},
"outputs": [],
"source": [
"dataQuery = {\n",
- " 'startDate': '2017-08-01T00:00:00Z',\n",
- " 'endDate': '2017-09-01T00:00:00Z',\n",
+ " 'id': '4901283_003',\n",
+ " 'data': 'all'\n",
+ "}\n",
+ "profile = avh.query('argo', options=dataQuery, apikey=API_KEY, apiroot=API_ROOT)\n",
+ "# avh.data_inflate(profile[0])[0:10]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We can query float profiles within larger bounds: "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dataQuery = {\n",
+ " 'startDate': '2020-01-01T00:00:00Z',\n",
+ " 'endDate': '2024-01-01T00:00:00Z',\n",
" 'polygon': [[-150,-30],[-155,-30],[-155,-35],[-150,-35],[-150,-30]],\n",
" 'data': 'doxy'\n",
"}\n",
@@ -945,6 +706,36 @@
"inflated_data[0:10]"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Querying within geospatial bounds"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "qs = {\n",
+ " 'startDate': '2017-08-01T00:00:00Z',\n",
+ " 'endDate': '2017-09-01T00:00:00Z',\n",
+ " 'box': [[-20,70],[20,72]]\n",
+ "}\n",
+ "\n",
+ "profiles = avh.query('argo', options=qs, apikey=API_KEY, apiroot=API_ROOT)\n",
+ "latitudes = [x['geolocation']['coordinates'][1] for x in profiles]\n",
+ "print(min(latitudes))\n",
+ "print(max(latitudes))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": []
+ },
{
"cell_type": "markdown",
"metadata": {},
diff --git a/notebooks/argo-introduction.ipynb b/notebooks/argo-introduction.ipynb
index 743bba8d..237c374e 100644
--- a/notebooks/argo-introduction.ipynb
+++ b/notebooks/argo-introduction.ipynb
@@ -100,12 +100,18 @@
]
},
{
+ "attachments": {
+ "49ab59d5-e298-4841-8b08-8d458dfea118.png": {
+ "image/png": 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+ }
+ },
"cell_type": "markdown",
"metadata": {},
"source": [
- "Describe what the floats do (moved by the current, take V-shaped dives)\n",
+ "Argo floats are autonomous instruments used in oceanography to collect data on the physical and biochemical state of the ocean. They are part of the Argo program, an international collaborative effort to monitor ocean temperature, salinity, and some also record biogeochemical parameters such as oxygen, pH, and chlorophyl. Despite glider Argo floats drift with ocean currents so they are less controlled however they do have longer operation period. Argo floats provide critical data that enhances our understanding of the ocean and its influence on the global climate system. Through international collaboration and advanced technology, the Argo program plays a vital role in monitoring and studying the world's oceans. This figure from the Argo website at UCSD illustrates how Argo floats operate from deployment to data collection.\n",
+ "\n",
"\n",
- "- add image or gif showing schematic of what the floats are doing\n"
+ "\n"
]
},
{
@@ -1548,7 +1554,7 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3 (ipykernel)",
+ "display_name": "Python 3",
"language": "python",
"name": "python3"
},
@@ -1562,7 +1568,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.9.19"
+ "version": "3.8.8"
},
"nbdime-conflicts": {
"local_diff": [