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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 testinggeff
The Global ECMWF Fire Forecast model is written in Fortran-95 allowing highly computationally demanding tasks. GEFF is used operationally at ECMWF to provide fire forecast to the Copernicus Emergency Management service and its development has been funded since 2016 by the EU Joint Research Centre.c3s2-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
makaniino
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