Quantifying Progress Across Different CMIP Phases With the ESMValTool-Reference-Cited by-同舟云学术

Quantifying Progress Across Different CMIP Phases With the ESMValTool

Published:2020-10-27 Issue:21 Volume:125 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Bock L.¹^ORCID,Lauer A.¹^ORCID,Schlund M.¹^ORCID,Barreiro M.²,Bellouin N.³^ORCID,Jones C.⁴,Meehl G. A.⁵^ORCID,Predoi V.⁶,Roberts M. J.⁷^ORCID,Eyring V.¹⁸^ORCID

Affiliation:

1. Deutsches Zentrum für Luft‐und Raumfahrt (DLR) Institut für Physik der Atmosphäre Oberpfaffenhofen Germany

2. Departamento de Ciencias de la Atmósfera, Facultad de Ciencias Universidad de la República Montevideo Uruguay

3. Department of Meteorology University of Reading Reading UK

4. National Centre for Atmospheric Science University of Leeds Leeds UK

5. National Center for Atmospheric Research Boulder CO USA

6. NCAS Computational Modelling Services (CMS) University of Reading Reading UK

7. Met Office Hadley Centre Exeter UK

8. Institute of Environmental Physics (IUP) University of Bremen Bremen Germany

Funder

Bundesministerium für Bildung und Forschung

National Center for Atmospheric Research

U.S. Department of Energy

European Space Agency

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019JD032321

Reference171 articles.

1. The New GFDL Global Atmosphere and Land Model AM2–LM2: Evaluation with Prescribed SST Simulations

2. The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present)

3. Alekseev V. A. Volodin E. M. Galin V. Y. Dymnikov V. P. &Lykossov V. N.(1998).Modelling of the present‐day climate by the RAS atmospheric model“DNM GCM.” Institute of Numerical Mathematics. (p. 200).

4. Andela B. Brötz B. deMora L. Drost N. Eyring V. Koldunov N. Lauer A. Mueller B. Predoi V. Righi M.&Schlund M.(2020).ESMValTool (version v2.0.0).https://doi.org/10.5281/zenodo.3970975

5. Forcings, Feedbacks, and Climate Sensitivity in HadGEM3‐GC3.1 and UKESM1

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