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

The primary objective of CFMIP is to inform future assessments of cloud feedbacks through improved understanding of cloud–climate feedback mechanisms and better evaluation of cloud processes and cloud feedbacks in climate models. However, the CFMIP approach is also increasingly being used to underst...

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Main Authors: M. J. Webb, T. Andrews, A. Bodas-Salcedo, S. Bony, C. S. Bretherton, R. Chadwick, H. Chepfer, H. Douville, P. Good, J. E. Kay, S. A. Klein, R. Marchand, B. Medeiros, A. P. Siebesma, C. B. Skinner, B. Stevens, G. Tselioudis, Y. Tsushima, M. Watanabe
Format: Article
Language:English
Published: Copernicus Publications 2017-01-01
Series:Geoscientific Model Development
Online Access:http://www.geosci-model-dev.net/10/359/2017/gmd-10-359-2017.pdf
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author M. J. Webb
T. Andrews
A. Bodas-Salcedo
S. Bony
C. S. Bretherton
R. Chadwick
H. Chepfer
H. Douville
P. Good
J. E. Kay
S. A. Klein
R. Marchand
B. Medeiros
A. P. Siebesma
C. B. Skinner
B. Stevens
G. Tselioudis
Y. Tsushima
M. Watanabe
author_facet M. J. Webb
T. Andrews
A. Bodas-Salcedo
S. Bony
C. S. Bretherton
R. Chadwick
H. Chepfer
H. Douville
P. Good
J. E. Kay
S. A. Klein
R. Marchand
B. Medeiros
A. P. Siebesma
C. B. Skinner
B. Stevens
G. Tselioudis
Y. Tsushima
M. Watanabe
author_sort M. J. Webb
collection DOAJ
description The primary objective of CFMIP is to inform future assessments of cloud feedbacks through improved understanding of cloud–climate feedback mechanisms and better evaluation of cloud processes and cloud feedbacks in climate models. However, the CFMIP approach is also increasingly being used to understand other aspects of climate change, and so a second objective has now been introduced, to improve understanding of circulation, regional-scale precipitation, and non-linear changes. CFMIP is supporting ongoing model inter-comparison activities by coordinating a hierarchy of targeted experiments for CMIP6, along with a set of cloud-related output diagnostics. CFMIP contributes primarily to addressing the CMIP6 questions <q>How does the Earth system respond to forcing?</q> and <q>What are the origins and consequences of systematic model biases?</q> and supports the activities of the WCRP Grand Challenge on Clouds, Circulation and Climate Sensitivity.<br><br>A compact set of Tier 1 experiments is proposed for CMIP6 to address this question: (1) what are the physical mechanisms underlying the range of cloud feedbacks and cloud adjustments predicted by climate models, and which models have the most credible cloud feedbacks? Additional Tier 2 experiments are proposed to address the following questions. (2) Are cloud feedbacks consistent for climate cooling and warming, and if not, why? (3) How do cloud-radiative effects impact the structure, the strength and the variability of the general atmospheric circulation in present and future climates? (4) How do responses in the climate system due to changes in solar forcing differ from changes due to CO<sub>2</sub>, and is the response sensitive to the sign of the forcing? (5) To what extent is regional climate change per CO<sub>2</sub> doubling state-dependent (non-linear), and why? (6) Are climate feedbacks during the 20th century different to those acting on long-term climate change and climate sensitivity? (7) How do regional climate responses (e.g. in precipitation) and their uncertainties in coupled models arise from the combination of different aspects of CO<sub>2</sub> forcing and sea surface warming?<br><br>CFMIP also proposes a number of additional model outputs in the CMIP DECK, CMIP6 Historical and CMIP6 CFMIP experiments, including COSP simulator outputs and process diagnostics to address the following questions. <ol class="enumerate"><li class="item"><div class="para"><p class="p">How well do clouds and other relevant variables simulated by models agree with observations?</p></div></li><li class="item"><div class="para"><p class="p">What physical processes and mechanisms are important for a credible simulation of clouds, cloud feedbacks and cloud adjustments in climate models?</p></div></li><li class="item"><div class="para"><p class="p">Which models have the most credible representations of processes relevant to the simulation of clouds?</p></div></li><li class="item"><div class="para"><p class="p">How do clouds and their changes interact with other elements of the climate system?</p></div></li></ol>
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spelling doaj.art-25d87c91c99f49f2bb81affc26bb8cf32022-12-21T18:42:05ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032017-01-0110135938410.5194/gmd-10-359-2017The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6M. J. Webb0T. Andrews1A. Bodas-Salcedo2S. Bony3C. S. Bretherton4R. Chadwick5H. Chepfer6H. Douville7P. Good8J. E. Kay9S. A. Klein10R. Marchand11B. Medeiros12A. P. Siebesma13C. B. Skinner14B. Stevens15G. Tselioudis16Y. Tsushima17M. Watanabe18Met Office Hadley Centre, Exeter, UKMet Office Hadley Centre, Exeter, UKMet Office Hadley Centre, Exeter, UKLMD/IPSL, CNRS, Université Pierre and Marie Curie, Paris, FranceUniversity of Washington, Seattle, USAMet Office Hadley Centre, Exeter, UKLMD/IPSL, CNRS, Université Pierre and Marie Curie, Paris, FranceCentre National de Recherches Météorologiques, Toulouse, FranceMet Office Hadley Centre, Exeter, UKUniversity of Colorado at Boulder, Boulder, USALawrence Livermore National Laboratory, Livermore, USAUniversity of Washington, Seattle, USANational Center for Atmospheric Research, Boulder, USARoyal Netherlands Meteorological Institute, De Bilt, The NetherlandsUniversity of Michigan, Ann Arbor, USAMax Planck Institute for Meteorology, Hamburg, GermanyNASA Goddard Institute for Space Studies, New York, USAMet Office Hadley Centre, Exeter, UKAtmosphere and Ocean Research Institute, Tokyo, JapanThe primary objective of CFMIP is to inform future assessments of cloud feedbacks through improved understanding of cloud–climate feedback mechanisms and better evaluation of cloud processes and cloud feedbacks in climate models. However, the CFMIP approach is also increasingly being used to understand other aspects of climate change, and so a second objective has now been introduced, to improve understanding of circulation, regional-scale precipitation, and non-linear changes. CFMIP is supporting ongoing model inter-comparison activities by coordinating a hierarchy of targeted experiments for CMIP6, along with a set of cloud-related output diagnostics. CFMIP contributes primarily to addressing the CMIP6 questions <q>How does the Earth system respond to forcing?</q> and <q>What are the origins and consequences of systematic model biases?</q> and supports the activities of the WCRP Grand Challenge on Clouds, Circulation and Climate Sensitivity.<br><br>A compact set of Tier 1 experiments is proposed for CMIP6 to address this question: (1) what are the physical mechanisms underlying the range of cloud feedbacks and cloud adjustments predicted by climate models, and which models have the most credible cloud feedbacks? Additional Tier 2 experiments are proposed to address the following questions. (2) Are cloud feedbacks consistent for climate cooling and warming, and if not, why? (3) How do cloud-radiative effects impact the structure, the strength and the variability of the general atmospheric circulation in present and future climates? (4) How do responses in the climate system due to changes in solar forcing differ from changes due to CO<sub>2</sub>, and is the response sensitive to the sign of the forcing? (5) To what extent is regional climate change per CO<sub>2</sub> doubling state-dependent (non-linear), and why? (6) Are climate feedbacks during the 20th century different to those acting on long-term climate change and climate sensitivity? (7) How do regional climate responses (e.g. in precipitation) and their uncertainties in coupled models arise from the combination of different aspects of CO<sub>2</sub> forcing and sea surface warming?<br><br>CFMIP also proposes a number of additional model outputs in the CMIP DECK, CMIP6 Historical and CMIP6 CFMIP experiments, including COSP simulator outputs and process diagnostics to address the following questions. <ol class="enumerate"><li class="item"><div class="para"><p class="p">How well do clouds and other relevant variables simulated by models agree with observations?</p></div></li><li class="item"><div class="para"><p class="p">What physical processes and mechanisms are important for a credible simulation of clouds, cloud feedbacks and cloud adjustments in climate models?</p></div></li><li class="item"><div class="para"><p class="p">Which models have the most credible representations of processes relevant to the simulation of clouds?</p></div></li><li class="item"><div class="para"><p class="p">How do clouds and their changes interact with other elements of the climate system?</p></div></li></ol>http://www.geosci-model-dev.net/10/359/2017/gmd-10-359-2017.pdf
spellingShingle M. J. Webb
T. Andrews
A. Bodas-Salcedo
S. Bony
C. S. Bretherton
R. Chadwick
H. Chepfer
H. Douville
P. Good
J. E. Kay
S. A. Klein
R. Marchand
B. Medeiros
A. P. Siebesma
C. B. Skinner
B. Stevens
G. Tselioudis
Y. Tsushima
M. Watanabe
The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6
Geoscientific Model Development
title The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6
title_full The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6
title_fullStr The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6
title_full_unstemmed The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6
title_short The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6
title_sort cloud feedback model intercomparison project cfmip contribution to cmip6
url http://www.geosci-model-dev.net/10/359/2017/gmd-10-359-2017.pdf
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