Published January 31, 2023
| Version 2.0
Dataset
Open
Understanding cirrus clouds using explainable machine learning
- 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)
Notes
v1 was causing extraction errors for some users, please use v2.
Files
Readme.txt
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