Published March 4, 2022 | Version 1.3
Dataset Open

Data for the publication "Assessing the potential for simplification in global climate model cloud microphysics"

  • 1. Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
  • 2. Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut), Hannover, Germany

Description

This repository contains the data for the paper:

Authors: Ulrike Proske, Sylvaine Ferrachat, David Neubauer, Martin Staab, and Ulrike Lohmann
Titel: Assessing the potential for simplification in global climate model cloud microphysics
Date: 2022

Note that the scripts can be found in the accompanying package (https://doi.org/10.5281/zenodo.5506588)

Files

README.txt

Files (80.7 MB)

Name Size Download all
md5:e4c2eeca60849e7ab3965f7eae26a5e9
80.6 MB Download
md5:ac09a469d9b36a1aba19741f319be431
58.6 kB Preview Download

Additional details

Funding

FORCeS – Constrained aerosol forcing for improved climate projections 821205
European Commission