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

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.

doi:10.5194/gmd-10-4285-2017

i

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

Supporting Files

2017
By Tsushima, Yoko ; Brient, Florent ; Klein, Stephen A. ; ...

Details

Journal Title:

Geoscientific Model Development
Personal Author:

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.
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office)
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.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.
Keywords:

Atmospheric Science Clouds Mathematical Models Atmospheric Science Mathematical Models
Source:

Geoscientific Model Development, 10(11), 4285-4305
DOI:

https://doi.org/10.5194/gmd-10-4285-2017
Document Type:

Journal Article
Funding:

Grant no. NA15OAR4310153
License:

https://creativecommons.org/licenses/by/3.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

urn:sha256:13f7e9c270782eb1c9f17c23dd0ce58b87c696cf0d5d39e3f4fcbf4d5b5f6160
Download URL:

https://repository.library.noaa.gov/view/noaa/51532/noaa_51532_DS1.pdf
File Type:

[PDF - 7.97 MB ]

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