Atmospheric physics group, Institute for Atmospheric and Climate Science, ETH Zurich

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Published January 31, 2023 | Version 1.0
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Understanding cirrus clouds using explainable machine learning

Creators

  • 1. Institute of Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
  • 2. Image Processing Laboratory, Universitat de València, València, Spain

Description

This repository contains the data for the paper:

Authors: Kai Jeggle , David Neubauer , Gustau Camps-Valls and Ulrike Lohmann
Titel: Understanding cirrus clouds using explainable machine learning
Date: 2023

Note that the scripts can be found in the accompanying package (https://github.com/tabularaza27/explaining_cirrus)

Files

Readme.txt

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Additional details

Funding

European Commission
iMIRACLI - innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts (iMIRACLI) 860100