https://w3id.org/np/RAmR-xqMgO.../conceptconcepthttp://purl.org/dc/terms/descriptiondescription"rogrammatic access, harmonisation, and analysis-ready preparation of EarthCARE multi-instrument data through a unified Python interface: file-format readers, lazy/chunked loading via xarray, coordinate and unit harmonisation across instruments, common metadata representation, plotting and quick-look utilities, and conversion to formats suitable for downstream atmospheric science workflows."
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https://w3id.org/np/RAmR-xqMgO.../contextcontexthttp://purl.org/dc/terms/descriptiondescription"Cloud, aerosol, and radiation research that needs to integrate observations across two or more EarthCARE instruments — for example combining ATLID lidar profiles with CPR radar reflectivities, MSI imagery, and BBR fluxes — without each researcher writing instrument-specific I/O code from scratch. Also relevant for educational use, mission validation studies, and cross-mission comparison work where EarthCARE data is one of multiple inputs."
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