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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

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. Here, 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. 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.
Authors:
ORCiD logo [1] ; ORCiD logo [2] ;  [3] ;  [4] ;  [5] ;  [6] ;  [1] ;  [7] ;  [8] ; ORCiD logo [3]
  1. Met Office Hadley Centre, Exeter (United Kingdom)
  2. Centre National de la Recherche Scientifique (CNRS), Toulouse (France)
  3. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Cloud Processes Research and Modeling Group
  4. National Observatory of Athens, Athens (Greece)
  5. Univ. Leipzig, Leipzig (Germany). Inst. for Meteorology
  6. Univ. of California, Los Angeles, CA (United States). Dept. of Atmospheric and Oceanic Sciences
  7. Univ. of New South Wales, Sydney, NSW (Australia). Climate Change Research Centre and ARC Centre of Excellence for Climate System Science
  8. Univ. of Tokyo, Kashiwa (Japan). Atmosphere and Ocean Research Inst.
Publication Date:
Report Number(s):
LLNL-JRNL-726858
Journal ID: ISSN 1991-9603
Grant/Contract Number:
AC52-07NA27344; 244067; NA15OAR4310153
Type:
Accepted Manuscript
Journal Name:
Geoscientific Model Development (Online)
Additional Journal Information:
Journal Name: Geoscientific Model Development (Online); Journal Volume: 10; Journal Issue: 11; Journal ID: ISSN 1991-9603
Publisher:
European Geosciences Union
Research Org:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE; European Union (EU); National Oceanic and Atmospheric Administration (NOAA)
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES
OSTI Identifier:
1438789

Tsushima, Yoko, Brient, Florent, Klein, Stephen A., Konsta, Dimitra, Nam, Christine C., Qu, Xin, Williams, Keith D., Sherwood, Steven C., Suzuki, Kentaroh, and Zelinka, Mark D.. 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. United States: N. p., Web. doi:10.5194/gmd-10-4285-2017.
Tsushima, Yoko, Brient, Florent, Klein, Stephen A., Konsta, Dimitra, Nam, Christine C., Qu, Xin, Williams, Keith D., Sherwood, Steven C., Suzuki, Kentaroh, & Zelinka, Mark D.. 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. United States. doi:10.5194/gmd-10-4285-2017.
Tsushima, Yoko, Brient, Florent, Klein, Stephen A., Konsta, Dimitra, Nam, Christine C., Qu, Xin, Williams, Keith D., Sherwood, Steven C., Suzuki, Kentaroh, and Zelinka, Mark D.. 2017. "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". United States. doi:10.5194/gmd-10-4285-2017. https://www.osti.gov/servlets/purl/1438789.
@article{osti_1438789,
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},
author = {Tsushima, Yoko and Brient, Florent and Klein, Stephen A. and Konsta, Dimitra and Nam, Christine C. and Qu, Xin and Williams, Keith D. and Sherwood, Steven C. and Suzuki, Kentaroh and Zelinka, Mark D.},
abstractNote = {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. Here, 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. 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.},
doi = {10.5194/gmd-10-4285-2017},
journal = {Geoscientific Model Development (Online)},
number = 11,
volume = 10,
place = {United States},
year = {2017},
month = {11}
}