04.11.2024

The CLINT project partners, among them ECMWF, DKRZ and the Politecnico di Milano, worked together with interested parties from the Open Geospatial Consortium (OGC; including organizations such as 52°North, der WMO, Ouranos in Canada and representatives of the Zoo project) on the integration and optimization of the AI ​​algorithms developed.

The focus was set on making the CLINT algorithms available via an ECMWF server. The so-called WEkEO cloud pattform enables the interactive use of ERA5 data from the ECMWF and data from the Copernicus Climate Change Service operated at the ECMWF via Jupyter Notebooks.

The AI ​​algorithms being developed as part of the CLINT project - including tools for cyclone tracking or the AI ​​algorithm developed at the DKRZ for automatically filling gaps in climate data - are to be made available as web services via the OGC WPS standard. The software was developed in Python using modern machine learning libraries such as TensorFlow and PyTorch.

The coding sprint marks an important milestone for the further development of AI-based climate data tools and their connection to the ECMWF infrastructure.

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