Process‐Based Climate Model Development Harnessing Machine Learning: III. The Representation of Cumulus Geometry and Their 3D Radiative Effects-Reference-Cited by-同舟云学术

Process‐Based Climate Model Development Harnessing Machine Learning: III. The Representation of Cumulus Geometry and Their 3D Radiative Effects

Published:2021-04 Issue:4 Volume:13 Page:
ISSN:1942-2466
Container-title:Journal of Advances in Modeling Earth Systems
language:en
Short-container-title:J. Adv. Model. Earth Syst.

Author:

Villefranque Najda¹^ORCID,Blanco Stéphane²,Couvreux Fleur¹^ORCID,Fournier Richard²,Gautrais Jacques³,Hogan Robin J.⁴,Hourdin Frédéric⁵^ORCID,Volodina Victoria⁶,Williamson Daniel⁶⁷

Affiliation:

1. CNRM, Université de Toulouse Meteo‐France, CNRS Toulouse France

2. LAPLACE, Université de Toulouse CNRS Toulouse France

3. Centre de Recherches sur la Cognition Animale (CRCA) Centre de Biologie Intégrative (CBI) Université de Toulouse CNRS Université Paul Sabatier France

4. ECMWF Reading UK

5. LMD‐IPSL Sorbonne University CNRS Paris France

6. The Alan Turing Institute London UK

7. Exeter University Exeter UK

Funder

Agence Nationale de la Recherche

Natural Environment Research Council

Engineering and Physical Sciences Research Council

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Chemistry,Global and Planetary Change