scholarly journals Review of "The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6" by Mark Webb et al.

2016 ◽  
Author(s):  
Aiko Voigt
Keyword(s):  
Cloud Feedback ◽  
Model Intercomparison ◽  
Feedback Model ◽  
Intercomparison Project

scholarly journals The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2 (COSP2)

2017 ◽  
Author(s):  
Dustin J. Swales ◽  
Robert Pincus ◽  
Alejandro Bodas-Salcedo
Keyword(s):  
Cloud Feedback ◽  
Model Coupling ◽  
Model Intercomparison ◽  
Cloud Properties ◽  
Feedback Model ◽  
Wide Range ◽  
Intercomparison Project ◽  
Software Standards ◽  
Shared Inputs ◽  
Observing Systems

Abstract. The Cloud Feedback Model Intercomparison Project Observational Simulator Package (COSP) gathers together a collection of observation proxies or satellite simulators that translate model-simulated cloud properties to synthetic observations as would be obtained by a range of satellite observing systems. This paper introduces COSP 2, an evolution focusing on more explicit and consistent separation between host model, coupling infrastructure, and individual observing proxies. Revisions also enhance flexibility by allowing for model-specific representation of sub-grid scale cloudiness, provide greater clarity by clearly separating tasks, support greater use of shared code and data including shared inputs across simulators, and follow more uniform software standards to simplify implementation across a wide range of platforms. The complete package including a testing suite is freely available.

Supplementary material to "The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6"

2016 ◽  
Author(s):  
Mark J. Webb ◽  
Timothy Andrews ◽  
Alejandro Bodas-Salcedo ◽  
Sandrine Bony ◽  
Christopher S. Bretherton ◽  
...  
Keyword(s):  
Cloud Feedback ◽  
Model Intercomparison ◽  
Feedback Model ◽  
Intercomparison Project ◽  
Supplementary Material

scholarly journals The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2

2018 ◽  
Vol 11 (1) ◽  
pp. 77-81 ◽  
Author(s):  
Dustin J. Swales ◽  
Robert Pincus ◽  
Alejandro Bodas-Salcedo
Keyword(s):  
Cloud Feedback ◽  
Model Coupling ◽  
Model Intercomparison ◽  
Cloud Properties ◽  
Feedback Model ◽  
Wide Range ◽  
Intercomparison Project ◽  
Software Standards ◽  
Shared Inputs ◽  
Observing Systems

Abstract. The Cloud Feedback Model Intercomparison Project Observational Simulator Package (COSP) gathers together a collection of observation proxies or “satellite simulators” that translate model-simulated cloud properties to synthetic observations as would be obtained by a range of satellite observing systems. This paper introduces COSP2, an evolution focusing on more explicit and consistent separation between host model, coupling infrastructure, and individual observing proxies. Revisions also enhance flexibility by allowing for model-specific representation of sub-grid-scale cloudiness, provide greater clarity by clearly separating tasks, support greater use of shared code and data including shared inputs across simulators, and follow more uniform software standards to simplify implementation across a wide range of platforms. The complete package including a testing suite is freely available.

scholarly journals 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

2017 ◽  
Author(s):  
Yoko Tsushima ◽  
Florent Brient ◽  
Stephen A. Klein ◽  
Dimitra Konsta ◽  
Christine Nam ◽  
...  
Keyword(s):  
General Circulation ◽  
Climate Models ◽  
Evaluation Studies ◽  
Circulation Model ◽  
Community Analysis ◽  
Model Intercomparison ◽  
Cloud Feedbacks ◽  
Diagnostic Codes ◽  
Feedback Model ◽  
Intercomparison Project

Abstract. 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 on 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.

scholarly journals 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

2017 ◽  
Vol 10 (11) ◽  
pp. 4285-4305 ◽  
Author(s):  
Yoko Tsushima ◽  
Florent Brient ◽  
Stephen A. Klein ◽  
Dimitra Konsta ◽  
Christine C. Nam ◽  
...  
Keyword(s):  
General Circulation ◽  
Climate Models ◽  
Evaluation Studies ◽  
Circulation Model ◽  
Community Analysis ◽  
Model Intercomparison ◽  
Cloud Feedbacks ◽  
Diagnostic Codes ◽  
Feedback Model ◽  
Intercomparison Project

Abstract. 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.

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