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mooc-machine-learning-weather-climate
ibicus
Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.copernicus-training
This repository hosts Jupyter notebook data tutorials for the Copernicus Climate Change (C3S) and Atmosphere Monitoring (CAMS) Services.copernicus-training-c3s
cookiecutter-conda-package
Template for Python package based on Condaai-vegetation-fuel
Predicting Fuel Load from earth observation data using Machine Learningcacholote
Efficiently cache calls to functionscopernicus-training-cams
c3s-ga-training
cads-api-client
CADS API Python client for developing and testingc3s2-eqc-quality-assessment
cdscdm-tools
Tools to check compliance to the Common Data Model of the Climate Data Storecads-adaptors
CADS data retrieval adaptors and associated methods and toolscads-toolbox
CADS Toolbox libraryogc-api-processes-fastapi
OGC API Processes service based on FastAPIc3s_eqc_book_main
Contains the Jupyter Book for Quality Assessments of C3S EQCcads-catalogue
digital-twin-engine
Documentation for the Digital Twin Engine componentsmakaniino
cads-broker
CADS broker servicecads-catalogue-api-service
STAC based API service for the Climate & Atmosphere Data Storedib-elements
figbird
Statistical plotting templates with a focus on climate and meteorology applicationscads-processing-api-service
CADS Processing API servicecads-worker
Utility functions for CADS Dask workercopernicus-earthkit-examples
A repository containing examples of using earthkit with Copernicus datasetsLove Open Source and this site? Check out how you can help us