{
"cells": [
{
"cell_type": "raw",
"id": "d00560f9-1def-4210-b97c-34de75e49f0a",
"metadata": {},
"source": [
"---\n",
"title: \"Earthdata Search and Discovery\"\n",
"author: Luiz Lopez (NASA Openscapes) and adapted by Eli Holmes (NOAA)\n",
"---"
]
},
{
"cell_type": "markdown",
"id": "7ed85c39-3fe3-47f3-adf1-f50d3017e5fc",
"metadata": {},
"source": [
"[][colab-link]\n",
"\n",
" \n",
" [][download-link]\n",
"\n",
"[download-link]: https://nmfs-opensci.github.io/NMFSHackDays-2025/topics-2025/2025-02-14-earthdata/1-earthaccess.ipynb\n",
"[colab-link]: https://colab.research.google.com/github/nmfs-opensci/nmfshackdays-2025/blob/main/topics-2025/2025-02-14-earthdata/1-earthaccess.ipynb\n",
"[jupyter-link]: https://nmfs-openscapes.2i2c.cloud/hub/user-redirect/lab?fromURL=https://raw.githubusercontent.com/nmfs-opensci/nmfshackdays-2025/main/topics-2025/2025-02-14-earthdata/1-earthaccess.ipynb"
]
},
{
"cell_type": "markdown",
"id": "4a641bf9-d33e-4357-bd2a-253275615570",
"metadata": {},
"source": [
">📘 Learning Objectives\n",
">\n",
"> 1. How to authenticate with `earthaccess`\n",
"> 2. How to use `earthaccess` to search for data using spatial and temporal filters\n",
"> 3. How to explore and work with search results\n",
"> 4. How to plot a single file\n"
]
},
{
"cell_type": "markdown",
"id": "bf218d52-4c89-48a1-bbb0-567e2378e0db",
"metadata": {},
"source": [
"## Summary\n",
"\n",
"In this example we will use the `earthaccess` library to search for data collections from NASA Earthdata. `earthaccess` is a Python library that simplifies data discovery and access to NASA Earth science data by providing an abstraction layer for NASA’s [Common Metadata Repository (CMR) API](https://cmr.earthdata.nasa.gov/search/site/docs/search/api.html) Search API. The library makes searching for data more approachable by using a simpler notation instead of low level HTTP queries. `earthaccess` takes the trouble out of Earthdata Login **authentication**, makes **search** easier, and provides a stream-line way to download or stream search results into an `xarray` object.\n",
"\n",
"For more on `earthaccess` visit the [`earthaccess` GitHub](https://github.com/nsidc/earthaccess) page and/or the [`earthaccess` documentation](https://earthaccess.readthedocs.io/en/latest/) site. Be aware that `earthaccess` is under active development. \n",
"\n",
"## Prerequisites\n",
"\n",
"An Earthdata Login account is required to access data from NASA Earthdata. Please visit to register and manage your Earthdata Login account. This account is free to create and only takes a moment to set up. \n",
"\n",
"#### For those not working in the JupyterHub\n",
"\n",
"You will need to create a code cell and run `pip install earthaccess`. "
]
},
{
"cell_type": "markdown",
"id": "02ffdf15-50a7-46f3-814b-15fb2e89bbbe",
"metadata": {},
"source": [
"## Get Started"
]
},
{
"cell_type": "markdown",
"id": "b35fcbf7-37cc-477e-be92-3d767e06dbe4",
"metadata": {},
"source": [
"### Import Required Packages "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "1a6fad23-fa66-4e3d-818b-96f797025b00",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import earthaccess \n",
"import xarray as xr"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "a944299b-4f83-425a-a248-27968c963480",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"auth = earthaccess.login()\n",
"# are we authenticated?\n",
"if not auth.authenticated:\n",
" # ask for credentials and persist them in a .netrc file\n",
" auth.login(strategy=\"interactive\", persist=True)"
]
},
{
"cell_type": "markdown",
"id": "87ab966f-d1c8-4293-9d26-82e8ecb53b8c",
"metadata": {},
"source": [
"### Find a data collection\n",
"\n",
"In NASA Earthdata, a \"data collection\" refers to a group of related data files, often from a specific satellite or instrument. For this tutorial, we will be search for files (called granules) within specific data collections, so we need to know how to specify a collection. We can specify a collection via a `concept_id`, `doi` or `short_name`. Each of these can be used to search for data or information related to the collection we are interested in. Go through the NASA Earthdata Catalog (`0-earthdata-catalog.ipynb`) tutorial to learn how to find the identifiers. \n",
"| Shortname | Collection Concept ID | DOI |\n",
"| --- | --- | --- |\n",
"| MUR-JPL-L4-GLOB-v4.1 | C1996881146-POCLOUD | 10.5067/GHGMR-4FJ04 |\n",
"| AVHRR_OI-NCEI-L4-GLOB-v2.1 | C2036881712-POCLOUD | 10.5067/GHAAO-4BC21 |"
]
},
{
"cell_type": "markdown",
"id": "27fd0392-dcd9-46f8-96b9-3a1552bb3742",
"metadata": {},
"source": [
"#### Search the collection\n",
"\n",
"We will use the [GHRSST Level 4 AVHRR_OI Global Blended Sea Surface Temperature Analysis](https://cmr.earthdata.nasa.gov/search/concepts/C2036881712-POCLOUD.html) data from NCEI which has short name `AVHRR_OI-NCEI-L4-GLOB-v2.1`. We can search via the shortname, concept id or doi."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "908aa4c5-5754-4269-8736-22304476efcf",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3330"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"short_name = 'AVHRR_OI-NCEI-L4-GLOB-v2.1'\n",
"results = earthaccess.search_data(\n",
" short_name = short_name,\n",
")\n",
"len(results)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "30d096dc-c8ee-44d3-a130-b1dc5d9ae3bb",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"3330"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"concept_id = 'C2036881712-POCLOUD'\n",
"results = earthaccess.search_data(\n",
" concept_id = concept_id\n",
")\n",
"len(results)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "d6695bee-6b5f-44f8-a43c-0e1f8f6eb307",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3330"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"doi = '10.5067/GHAAO-4BC21'\n",
"results = earthaccess.search_data(\n",
" doi = doi\n",
")\n",
"len(results)"
]
},
{
"cell_type": "markdown",
"id": "c1db512c-9f43-4da7-ae79-562f0ddbd1eb",
"metadata": {},
"source": [
"**NOTE:** Each Earthdata collection has a unique `concept_id` and `doi`. This is not the case with `short_name`. A **shortname** can be associated with multiple versions of a collection. If multiple versions of a collection are publicaly available, using the `short_name` parameter with return all versions available. It is advised to use the `version` parameter in conjunction with the `short_name` parameter with searching."
]
},
{
"cell_type": "markdown",
"id": "cd840e8d-02e4-49e0-857b-ef2021ae7858",
"metadata": {},
"source": [
"### Refining the search\n",
"\n",
"We can refine our search by passing more parameters that describe the spatiotemporal domain of our use case. Here, we use the `temporal` parameter to request a date range and the `bounding_box` parameter to request granules that intersect with a bounding box. "
]
},
{
"cell_type": "markdown",
"id": "eb5965f5-6cad-4a59-849e-612634ee646e",
"metadata": {},
"source": [
"For our bounding box, we need the xmin, ymin, xmax, ymax and we will assign this to `bbox`. We will assign our start date and end date to a variable named `date_range` . We can also specify that we only want cloud hosted data."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "55c4bf4d-45d0-4bea-a910-4e065f670f16",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"date_range = (\"2020-01-16\", \"2020-12-16\")\n",
"# (xmin=-73.5, ymin=33.5, xmax=-43.5, ymax=43.5)\n",
"bbox = (-73.5, 33.5, -43.5, 43.5)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "e521d54f-47f9-48ee-9773-b2853495e707",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"337"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results = earthaccess.search_data(\n",
" concept_id = concept_id,\n",
" cloud_hosted = True,\n",
" temporal = date_range,\n",
" bounding_box = bbox,\n",
")\n",
"len(results)"
]
},
{
"cell_type": "markdown",
"id": "9e12ea81-3596-4b59-bd95-5767409793f8",
"metadata": {},
"source": [
"- The `short_name` and `concept_id` search parameters can be used to request one or multiple collections per request, but the `doi` parameter can only request a single collection. \n",
"> `concept_ids` = ['C2723754864-GES_DISC', 'C1646609808-NSIDC_ECS'] \n",
"- Use the `cloud_hosted` search parameter only to search for data assets available from NASA's Earthdata Cloud.\n",
"- There are even more search parameters that can be passed to help refine our search, however those parameters do have to be populated in the CMR record to be leveraged. A non exhaustive list of examples are below: \n",
" - `day_night_flag = 'day'` \n",
" - `cloud_cover = (0, 10)` "
]
},
{
"cell_type": "markdown",
"id": "9e99c18d-b5d4-4c29-a18d-646cea4b5ac5",
"metadata": {},
"source": [
"### Working with `earthaccess` returns "
]
},
{
"cell_type": "markdown",
"id": "2d32ed97-06d9-4c12-8293-c85743977f9a",
"metadata": {},
"source": [
"Following the search for data, you'll likely take one of two pathways with those results. You may choose to **download** the assets that have been returned to you or you may choose to continue working with the search results within the Python environment. "
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "03726a03-9fd1-43e5-b62f-884779897371",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"earthaccess.results.DataGranule"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(results[0])"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "9a85fc90-2501-4343-ab9f-1e3004691c5f",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"
\n",
" "
],
"text/plain": [
"Collection: {'Version': '2.1', 'ShortName': 'AVHRR_OI-NCEI-L4-GLOB-v2.1'}\n",
"Spatial coverage: {'HorizontalSpatialDomain': {'Geometry': {'BoundingRectangles': [{'WestBoundingCoordinate': -179.875, 'SouthBoundingCoordinate': -89.875, 'EastBoundingCoordinate': 179.875, 'NorthBoundingCoordinate': 89.875}]}}}\n",
"Temporal coverage: {'RangeDateTime': {'EndingDateTime': '2020-01-16T00:00:00.000Z', 'BeginningDateTime': '2020-01-15T00:00:00.000Z'}}\n",
"Size(MB): 0.9891271591186523\n",
"Data: ['https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/AVHRR_OI-NCEI-L4-GLOB-v2.1/20200115120000-NCEI-L4_GHRSST-SSTblend-AVHRR_OI-GLOB-v02.0-fv02.1.nc']"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results[0]"
]
},
{
"cell_type": "markdown",
"id": "5552d778-3fa8-4cdc-ac84-d219b51eb7e6",
"metadata": {
"tags": []
},
"source": [
"#### Download `earthaccess` results"
]
},
{
"cell_type": "markdown",
"id": "51e94e17-bd06-4531-9d58-35a19f5f52c5",
"metadata": {},
"source": [
"In some cases you may want to download your assets. `earthaccess` makes downloading the data from the search results very easy using the `earthaccess.download()` function. "
]
},
{
"cell_type": "raw",
"id": "7490c587-3a9d-4146-bde9-7fafce9eb62f",
"metadata": {
"tags": []
},
"source": [
"downloaded_files = earthaccess.download(\n",
" results[0:9],\n",
" local_path='../data',\n",
")"
]
},
{
"cell_type": "markdown",
"id": "3e42eeb3-0d5b-4bf3-80f7-c0686b0da394",
"metadata": {},
"source": [
"`earthaccess` does a lot of heavy lifting for us. It identifies the downloadable links, passes our Earthdata Login credentials, and saves the files with the proper names."
]
},
{
"cell_type": "markdown",
"id": "2ae20ce8-6b9a-4b70-abd1-80607bb5b3fd",
"metadata": {},
"source": [
"#### Stream data to memory rather than downloading\n",
"\n",
"Alternatively we can work with the metadata without downloading and only load the data into memory (or download) when we need to compute with it or plot it."
]
},
{
"cell_type": "markdown",
"id": "df4c7586-6540-440b-87ec-09ad8713186f",
"metadata": {},
"source": [
"The `data_links()` methods gets us the url to the data. The `data_links()` method can also be used to get the s3 URI when we want to perform direct s3 access of the data in the cloud. To get the s3 URI, pass `access = 'direct'` to the method. Note, for NASA data, you need to be in AWS us-west-2 for direct access to work."
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "d7fcc808-3435-4e87-968b-e2f875bf9c99",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/AVHRR_OI-NCEI-L4-GLOB-v2.1/20200115120000-NCEI-L4_GHRSST-SSTblend-AVHRR_OI-GLOB-v02.0-fv02.1.nc']"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"results[0].data_links()"
]
},
{
"cell_type": "markdown",
"id": "f37c8506-fdfd-465f-aaff-c50c19ae9052",
"metadata": {},
"source": [
"We can pass or read the data url into libraries like xarray, rioxarray, or gdal, but we would need to deal with the authentication. earthaccess has a built-in module for easily reading these data links in and takes care of authentication for us. \n",
"\n",
"We use `earthaccess`'s `open()` method make a connection the cloud resource so we can work with the files. To get the first file, we use `results[0:1]`."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "558cfc37-1c78-4f1c-8460-318cb31c16a1",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "3d0a323cb9c245d1b0db8592100e4f8c",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"QUEUEING TASKS | : 0%| | 0/1 [00:00, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "47b783e8e97c4afc90bcd8cc768dc7c1",
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"text/plain": [
"PROCESSING TASKS | : 0%| | 0/1 [00:00, ?it/s]"
]
},
"metadata": {},
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},
{
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"COLLECTING RESULTS | : 0%| | 0/1 [00:00, ?it/s]"
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},
"metadata": {},
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}
],
"source": [
"fileset = earthaccess.open(results[0:1])"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "2a6c2b22-9fe9-4772-9e86-81dd8b9916d8",
"metadata": {},
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{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fileset"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "8361ddee-28b3-4069-a29d-da76290cbca6",
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"outputs": [
{
"data": {
"text/html": [
"
\n",
"
<xarray.Dataset> Size: 17MB\n",
"Dimensions: (lat: 720, lon: 1440, time: 1, nv: 2)\n",
"Coordinates:\n",
" * lat (lat) float32 3kB -89.88 -89.62 -89.38 ... 89.62 89.88\n",
" * lon (lon) float32 6kB -179.9 -179.6 -179.4 ... 179.6 179.9\n",
" * time (time) datetime64[ns] 8B 2020-01-15\n",
"Dimensions without coordinates: nv\n",
"Data variables:\n",
" lat_bnds (lat, nv) float32 6kB ...\n",
" lon_bnds (lon, nv) float32 12kB ...\n",
" analysed_sst (time, lat, lon) float32 4MB ...\n",
" analysis_error (time, lat, lon) float32 4MB ...\n",
" mask (time, lat, lon) float32 4MB ...\n",
" sea_ice_fraction (time, lat, lon) float32 4MB ...\n",
"Attributes: (12/47)\n",
" Conventions: CF-1.6, ACDD-1.3\n",
" title: NOAA/NCEI 1/4 Degree Daily Optimum Interpolat...\n",
" id: NCEI-L4LRblend-GLOB-AVHRR_OI\n",
" references: Reynolds, et al.(2009) What is New in Version...\n",
" institution: NOAA/NESDIS/NCEI\n",
" creator_name: NCEI Products and Services\n",
" ... ...\n",
" Metadata_Link.: http://doi.org/10.7289/V5SQ8XB5\n",
" keywords: Oceans>Ocean Temperature>Sea Surface Temperature\n",
" keywords_vocabulary: NASA Global Change Master Directory (GCMD) Sc...\n",
" standard_name_vocabulary: CF Standard Name Table v29\n",
" processing_level: L4\n",
" cdm_data_type: Grid
xarray.Dataset
lat: 720
lon: 1440
time: 1
nv: 2
lat
(lat)
float32
-89.88 -89.62 ... 89.62 89.88
long_name :
latitude
standard_name :
latitude
axis :
Y
units :
degrees_north
valid_min :
-90.0
valid_max :
90.0
bounds :
lat_bnds
comment :
Uniform grid with centers from -89.875 to 89.875 by 0.25 degrees
Single-sensor Pathfinder 5.0/5.1 AVHRR SSTs used until 2005; two AVHRRs at a time are used 2007 onward. Sea ice and in-situ data used also are near real time quality for recent period. SST (bulk) is at ambiguous depth because multiple types of observations are used.
[1036800 values with dtype=float32]
analysis_error
(time, lat, lon)
float32
...
long_name :
estimated error standard deviation of analysed_sst
units :
kelvin
valid_min :
0
valid_max :
32767
comment :
Sum of bias, sampling and random errors.
[1036800 values with dtype=float32]
mask
(time, lat, lon)
float32
...
long_name :
sea/land field composite mask
valid_min :
1
valid_max :
31
flag_masks :
[ 1 2 4 8 16]
flag_meanings :
water land optional_lake_surface sea_ice optional_river_surface
source :
RWReynolds_landmask_V1.0
comment :
Several masks distinguishing between water, land and ice.
[1036800 values with dtype=float32]
sea_ice_fraction
(time, lat, lon)
float32
...
long_name :
sea ice area fraction
standard_name :
sea_ice_area_fraction
units :
1
valid_min :
0
valid_max :
100
source :
MMAB_50KM-NCEP-ICE
comment :
7-day median filtered. Switch from 25 km NASA team ice (http://nsidc.org/data/nsidc-0051.html) to 50 km NCEP ice (http://polar.ncep.noaa.gov/seaice) after 2004 results in artificial increase in ice coverage.
NOAA/NCEI 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2 - Final
id :
NCEI-L4LRblend-GLOB-AVHRR_OI
references :
Reynolds, et al.(2009) What is New in Version 2. Available at http://www.ncdc.noaa.gov/sites/default/files/attachments/Reynolds2009_oisst_daily_v02r00_version2-features.pdf;Daily 1/4 Degree Optimum Interpolation Sea Surface Temperature (OISST) - Climate Algorithm Theoretical Basis Document, NOAA Climate Data Record Program CDRP-ATBD-0303 Rev. 2 (2013). Available at http://www1.ncdc.noaa.gov/pub/data/sds/cdr/CDRs/Sea_Surface_Temperature_Optimum_Interpolation/AlgorithmDescription.pdf.
institution :
NOAA/NESDIS/NCEI
creator_name :
NCEI Products and Services
creator_email :
ncei.orders@noaa.gov
creator_url :
http://www.ncdc.noaa.gov/oisst
gds_version_id :
v2.0r5
netcdf_version_id :
4.3.2
date_created :
20200211T000000Z
product_version :
Version 2.0
history :
2015-10-28: Modified format and attributes with NCO to match the GDS 2.0 rev 5 specification.
The daily OISST version 2.0 data contained in this file are the same as those in the equivalent GDS 1.0 file.
summary :
NOAAs 1/4-degree Daily Optimum Interpolation Sea Surface Temperature (OISST) (sometimes referred to as Reynolds SST, which however also refers to earlier products at different resolution), currently available as version 2, is created by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field. The sources of data are satellite (AVHRR) and in situ platforms (i.e., ships and buoys), and the specific datasets employed may change over time. At the marginal ice zone, sea ice concentrations are used to generate proxy SSTs. A preliminary version of this file is produced in near-real time (1-day latency), and then replaced with a final version after 2 weeks. Note that this is the AVHRR-ONLY DOISST, available from Oct 1981, but there is a companion DOISST product that includes microwave satellite data, available from June 2002.
acknowledgement :
This project was supported in part by a grant from the NOAA Climate Data Record (CDR) Program. Cite this dataset when used as a source. The recommended citation and DOI depends on the data center from which the files were acquired. For data accessed from NOAA in near real-time or from the GHRSST LTSRF, cite as: Richard W. Reynolds, Viva F. Banzon, and NOAA CDR Program (2008): NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface Temperature (OISST) Analysis, Version 2. [indicate subset used]. NOAA National Centers for Environmental Information. http://doi.org/doi:10.7289/V5SQ8XB5 [access date]. For data accessed from the NASA PO.DAAC, cite as: Richard W. Reynolds, Viva F. Banzon, and NOAA CDR Program (2008): NOAA Optimum Interpolation 1/4 Degree Daily Sea Surface Temperature (OISST) Analysis, Version 2. [indicate subset used]. PO.DAAC, CA, USA. http://doi.org/10.5067/GHAAO-4BC01 [access date].
license :
No constraints on data access or use.
project :
Group for High Resolution Sea Surface Temperature
publisher_name :
NCEI Products and Services
publisher_email :
ncei.orders@noaa.gov
publisher_url :
http://www.ncdc.noaa.gov/oisst
naming_authority :
org.ghrsst
time_coverage_start :
20200115T000000Z
time_coverage_end :
20200116T000000Z
platform :
sensor :
uuid :
15459239-4bd8-4e2c-801a-9c515da7af42
geospatial_lat_units :
degrees_north
geospatial_lat_resolution :
0.25
geospatial_lon_units :
degrees_east
geospatial_lon_resolution :
0.25
Metadata_Conventions :
ACDD-1.3
Metadata_Link. :
http://doi.org/10.7289/V5SQ8XB5
keywords :
Oceans>Ocean Temperature>Sea Surface Temperature
keywords_vocabulary :
NASA Global Change Master Directory (GCMD) Science Keywords, Version 8.1
standard_name_vocabulary :
CF Standard Name Table v29
processing_level :
L4
cdm_data_type :
Grid
"
],
"text/plain": [
" Size: 17MB\n",
"Dimensions: (lat: 720, lon: 1440, time: 1, nv: 2)\n",
"Coordinates:\n",
" * lat (lat) float32 3kB -89.88 -89.62 -89.38 ... 89.62 89.88\n",
" * lon (lon) float32 6kB -179.9 -179.6 -179.4 ... 179.6 179.9\n",
" * time (time) datetime64[ns] 8B 2020-01-15\n",
"Dimensions without coordinates: nv\n",
"Data variables:\n",
" lat_bnds (lat, nv) float32 6kB ...\n",
" lon_bnds (lon, nv) float32 12kB ...\n",
" analysed_sst (time, lat, lon) float32 4MB ...\n",
" analysis_error (time, lat, lon) float32 4MB ...\n",
" mask (time, lat, lon) float32 4MB ...\n",
" sea_ice_fraction (time, lat, lon) float32 4MB ...\n",
"Attributes: (12/47)\n",
" Conventions: CF-1.6, ACDD-1.3\n",
" title: NOAA/NCEI 1/4 Degree Daily Optimum Interpolat...\n",
" id: NCEI-L4LRblend-GLOB-AVHRR_OI\n",
" references: Reynolds, et al.(2009) What is New in Version...\n",
" institution: NOAA/NESDIS/NCEI\n",
" creator_name: NCEI Products and Services\n",
" ... ...\n",
" Metadata_Link.: http://doi.org/10.7289/V5SQ8XB5\n",
" keywords: Oceans>Ocean Temperature>Sea Surface Temperature\n",
" keywords_vocabulary: NASA Global Change Master Directory (GCMD) Sc...\n",
" standard_name_vocabulary: CF Standard Name Table v29\n",
" processing_level: L4\n",
" cdm_data_type: Grid"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds = xr.open_dataset(fileset[0])\n",
"ds"
]
},
{
"cell_type": "markdown",
"id": "3ddc49bb-1484-4380-85e2-04e73c31f203",
"metadata": {},
"source": [
"We can plot this object."
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "133bd6be-876d-4d99-9e4b-17e4c67609a6",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ds['analysed_sst'].plot();"
]
},
{
"cell_type": "markdown",
"id": "19efe75e-57c3-42b1-bf41-df970798bda0",
"metadata": {},
"source": [
"## Conclusion\n",
"\n",
"You have worked with remote-sensing data in the cloud and plotted a single file. \n",
"\n",
"Next we will learn to subset the data so we can work with bigger datasets in the cloud without downloading the whole dataset."
]
},
{
"cell_type": "markdown",
"id": "6aea33c5-f7ed-4357-a6b5-37fe07222738",
"metadata": {},
"source": [
"---"
]
},
{
"cell_type": "markdown",
"id": "5f138dd6-1792-4cfa-94be-d6cf39517e03",
"metadata": {},
"source": [
"## Resources \n",
"\n",
"- NASA’s [Common Metadata Repository (CMR) API](https://cmr.earthdata.nasa.gov/search/site/docs/search/api.html) \n",
"- [`earthaccess` repository](https://github.com/nsidc/earthaccess)\n",
"- [`earthaccess` documentation](https://nsidc.github.io/earthaccess/)\n",
"- [Earthdata Search](https://search.earthdata.nasa.gov/search)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}