The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models

The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models

The CFMIP Diagnostic Codes Catalogue assembles cloud metrics, diagnostics and methodologies, together with programs to diagnose them from general circulation model (GCM) outputs written by various members of the CFMIP community. This aims to facilitate use of the diagnostics by the wider communi...

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Main Authors: Y. Tsushima, F. Brient, S. A. Klein, D. Konsta, C. C. Nam, X. Qu, K. D. Williams, S. C. Sherwood, K. Suzuki, M. D. Zelinka
Format: Article
Language:English
Published: Copernicus Publications 2017-11-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/10/4285/2017/gmd-10-4285-2017.pdf
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spelling doaj-5ce8ba71323143299e0c0b8b7de6ee6a2020-11-24T20:48:23ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032017-11-01104285430510.5194/gmd-10-4285-2017The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate modelsY. Tsushima0F. Brient1S. A. Klein2D. Konsta3C. C. Nam4X. Qu5K. D. Williams6S. C. Sherwood7K. Suzuki8M. D. Zelinka9Met Office Hadley Centre, Exeter, UKCentre National de Recherches Météorologiques, Toulouse, FranceCloud Processes Research and Modeling Group, Lawrence Livermore National Laboratory, Livermore, USANational Observatory of Athens, Athens, GreeceInstitute for Meteorology, Universitaet Leipzig, Leipzig, GermanyDepartment of Atmospheric and Oceanic Sciences, University of California, Los Angeles, USAMet Office Hadley Centre, Exeter, UKClimate Change Research Centre and ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, AustraliaAtmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, JapanCloud Processes Research and Modeling Group, Lawrence Livermore National Laboratory, Livermore, USAThe CFMIP Diagnostic Codes Catalogue assembles cloud metrics, diagnostics and methodologies, together with programs to diagnose them from general circulation model (GCM) outputs written by various members of the CFMIP community. This aims to facilitate use of the diagnostics by the wider community studying climate and climate change. This paper describes the diagnostics and metrics which are currently in the catalogue, together with examples of their application to model evaluation studies and a summary of some of the insights these diagnostics have provided into the main shortcomings in current GCMs. Analysis of outputs from CFMIP and CMIP6 experiments will also be facilitated by the sharing of diagnostic codes via this catalogue.<br><br>Any code which implements diagnostics relevant to analysing clouds – including cloud–circulation interactions and the contribution of clouds to estimates of climate sensitivity in models – and which is documented in peer-reviewed studies, can be included in the catalogue. We very much welcome additional contributions to further support community analysis of CMIP6 outputs.https://www.geosci-model-dev.net/10/4285/2017/gmd-10-4285-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Y. Tsushima
F. Brient
S. A. Klein
D. Konsta
C. C. Nam
X. Qu
K. D. Williams
S. C. Sherwood
K. Suzuki
M. D. Zelinka
spellingShingle Y. Tsushima
F. Brient
S. A. Klein
D. Konsta
C. C. Nam
X. Qu
K. D. Williams
S. C. Sherwood
K. Suzuki
M. D. Zelinka
The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models
Geoscientific Model Development
author_facet Y. Tsushima
F. Brient
S. A. Klein
D. Konsta
C. C. Nam
X. Qu
K. D. Williams
S. C. Sherwood
K. Suzuki
M. D. Zelinka
author_sort Y. Tsushima
title The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models
title_short The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models
title_full The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models
title_fullStr The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models
title_full_unstemmed The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models
title_sort cloud feedback model intercomparison project (cfmip) diagnostic codes catalogue – metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2017-11-01
description The CFMIP Diagnostic Codes Catalogue assembles cloud metrics, diagnostics and methodologies, together with programs to diagnose them from general circulation model (GCM) outputs written by various members of the CFMIP community. This aims to facilitate use of the diagnostics by the wider community studying climate and climate change. This paper describes the diagnostics and metrics which are currently in the catalogue, together with examples of their application to model evaluation studies and a summary of some of the insights these diagnostics have provided into the main shortcomings in current GCMs. Analysis of outputs from CFMIP and CMIP6 experiments will also be facilitated by the sharing of diagnostic codes via this catalogue.<br><br>Any code which implements diagnostics relevant to analysing clouds – including cloud–circulation interactions and the contribution of clouds to estimates of climate sensitivity in models – and which is documented in peer-reviewed studies, can be included in the catalogue. We very much welcome additional contributions to further support community analysis of CMIP6 outputs.
url https://www.geosci-model-dev.net/10/4285/2017/gmd-10-4285-2017.pdf
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