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Download EarthCARE satellite data

Project description

earthcare-downloader

CI PyPI version

A Python tool for downloading EarthCARE satellite data from ESA servers.

Installation

python3 -m pip install earthcare-downloader

:penguin: CLI usage

Authentication

Store your ESA EO Sign In credentials in the environment variables ESA_EO_USERNAME and ESA_EO_PASSWORD. If these variables are not set, the program will prompt you to enter your credentials.

Running the program

earthcare-downloader -p PRODUCT [options]

where the arguments are:

Argument Description
-p, --product Product type(s) to download (see full list below).
--start Start date (YYYY-MM-DD).
--stop Stop date (YYYY-MM-DD).
-d, --date Single date (YYYY-MM-DD). Overrides --start and --stop
--orbit-min Minimum orbit number.
--orbit-max Maximum orbit number.
--orbit Single orbit number. Overrides --orbit-min and --orbit-max
--lat LAT Latitude of the target location (-90..90 degrees).
--lon LON Longitude of the target location (-180..180 degrees).
-r, --radius Search radius around the location in km. Use with --lat and --lon.
-o, --output-path Directory to save downloaded files (default: current directory).
--by-product Create subdirectories for each product type.
--max-workers Maximum number of concurrent downloads (default: 5).
--show Show filenames before downloading.
--unzip Automatically unzip downloaded files.
--quiet Hide progress bars during download.
--no-prompt Skip confirmation prompt before downloading.
-h, --help Show help message and exit.

Available products:

Level 1 Product Code Description
ATL_NOM_1B ATLID Nominal Mode
AUX_JSG_1D Auxiliary Joint Standard Grid
BBR_NOM_1B Broadband Radiometer Nominal Mode
BBR_SNG_1B Broadband Radiometer Single View
CPR_NOM_1B Cloud Profiling Radar Nominal Mode
MSI_NOM_1B Multi-Spectral Imager Nominal Mode
MSI_RGR_1C Multi-Spectral Imager Re-Gridded
Level 2A
ATL_AER_2A ATLID Aerosol Parameters
ATL_ALD_2A ATLID Aerosol Layer Descriptors
ATL_CTH_2A ATLID Cloud Top Height
ATL_EBD_2A ATLID Extinction, Backscatter and Depolarization
ATL_FM__2A ATLID Feature Mask
ATL_ICE_2A ATLID Ice Parameters
ATL_TC__2A ATLID Target Classification
CPR_CD__2A CPR Cloud Doppler parameters
CPR_CLD_2A CPR Cloud Parameters
CPR_FMR_2A CPR Feature Mask and Radar Reflectivity
CPR_TC__2A CPR Target Classification
MSI_AOT_2A MSI Aerosol Optical Thickness
MSI_CM__2A MSI Cloud Mask
MSI_COP_2A MSI Cloud Optical Properties
:japanese_castle: ATL_CLA_2A ATLID Cloud and Aerosol Classification
:japanese_castle: CPR_CLP_2A CPR Cloud Properties
:japanese_castle: CPR_ECO_2A CPR Echo Characteristics
:japanese_castle: MSI_CLP_2A MSI Cloud Properties
Level 2B
AC__TC__2B ATLID-CPR Target Classification
AM__ACD_2B ATLID-MSI Aerosol Column Descriptors
AM__CTH_2B ATLID-MSI Cloud Top Height
BM__RAD_2B BBR-MSI Radiative Fluxes and Heating Rates
:japanese_castle: AC__CLP_2B CPR-ATLID Synergy Cloud Properties
Orbit Data
AUX_ORBPRE Orbit Predictions
MPL_ORBSCT Orbit Scenario

:japanese_castle: = JAXA product

Examples

Download all CPR_TC__2A overpass data within 5 km of Hyytiälä, Finland:

earthcare-downloader -p CPR_TC__2A --lat 61.844 --lon 24.287 -d 5

Download all ATL_ALD_2A and AUX_JSG_1D data from two days:

earthcare-downloader -p ATL_ALD_2A,AUX_JSG_1D --start=2025-05-01 --stop=2025-05-02

:snake: Python API

You can also use earthcare-downloader as a Python library:

from earthcare_downloader import search, download

files = search(product="CPR_TC__2A", date="2025-01-01")
paths = download(files, unzip=True)

When working in notebooks, use the asynchronous versions of these functions:

from earthcare_downloader.aio import search, download

files = await search(product="CPR_TC__2A", date="2025-01-01")
paths = await download(files, unzip=True)

License

MIT

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