Clearing clouds of uncertainty

Zelinka, Mark D.; Randall, David A.; Webb, Mark J.; Klein, Stephen A.

doi:10.1038/nclimate3402

Title: Clearing clouds of uncertainty

Journal Article · Fri Sep 29 00:00:00 EDT 2017 · Nature Climate Change

DOI:https://doi.org/10.1038/nclimate3402· OSTI ID:1410034

Zelinka, Mark D. ^[1]; Randall, David A. ^[2]; Webb, Mark J. ^[3]; Klein, Stephen A. ^[1]

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Colorado State Univ., Fort Collins, CO (United States). Dept. of Atmospheric Science
Met Office Hadley Centre (United Kingdom)

We report that since 1990, the wide range in model-based estimates of equilibrium climate warming has been attributed to disparate cloud responses to warming. However, major progress in our ability to understand, observe, and simulate clouds has led to the conclusion that global cloud feedback is likely positive.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 1410034

Report Number(s):: LLNL-JRNL-737699

Journal Information:: Nature Climate Change, Vol. 7, Issue 10; ISSN 1758-678X

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 67 works

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References (17)

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Linkages between mid-latitude cirrus cloud properties and large-scale meteorology at the SACOL site Ge, Jinming; Wang, Zhenquan; Liu, Yuanyong Climate Dynamics, Vol. 53, Issue 7-8 https://doi.org/10.1007/s00382-019-04843-9	journal	June 2019
Probabilistic reasoning about measurements of equilibrium climate sensitivity: combining disparate lines of evidence Cooke, Roger M.; Wielicki, Bruce Climatic Change, Vol. 151, Issue 3-4 https://doi.org/10.1007/s10584-018-2315-y	journal	November 2018
Accounting for Vertical Subgrid‐Scale Heterogeneity in Low‐Level Cloud Fraction Parameterizations Jouhaud, J.; Dufresne, J. ‐L.; Madeleine, J. ‐B. Journal of Advances in Modeling Earth Systems, Vol. 10, Issue 11 https://doi.org/10.1029/2018ms001379	journal	November 2018
Low clouds link equilibrium climate sensitivity to hydrological sensitivity Watanabe, Masahiro; Kamae, Youichi; Shiogama, Hideo Nature Climate Change, Vol. 8, Issue 10 https://doi.org/10.1038/s41558-018-0272-0	journal	September 2018
Celebrating the anniversary of three key events in climate change science Santer, Benjamin D.; Bonfils, Céline J. W.; Fu, Qiang Nature Climate Change, Vol. 9, Issue 3 https://doi.org/10.1038/s41558-019-0424-x	journal	February 2019
Toward reduction of the uncertainties in climate sensitivity due to cloud processes using a global non-hydrostatic atmospheric model Satoh, Masaki; Noda, Akira T.; Seiki, Tatsuya Progress in Earth and Planetary Science, Vol. 5, Issue 1 https://doi.org/10.1186/s40645-018-0226-1	journal	October 2018
UVSQ-SAT, a Pathfinder CubeSat Mission for Observing Essential Climate Variables Meftah, Mustapha; Damé, Luc; Keckhut, Philippe Remote Sensing, Vol. 12, Issue 1 https://doi.org/10.3390/rs12010092	journal	December 2019
Evaluating the diurnal cycle of South Atlantic stratocumulus clouds as observed by MSG SEVIRI Seethala, Chellappan; Meirink, Jan Fokke; Horváth, Ákos Atmospheric Chemistry and Physics, Vol. 18, Issue 17 https://doi.org/10.5194/acp-18-13283-2018	journal	January 2018
The importance of mixed-phase and ice clouds for climate sensitivity in the global aerosol–climate model ECHAM6-HAM2 Lohmann, Ulrike; Neubauer, David Atmospheric Chemistry and Physics, Vol. 18, Issue 12 https://doi.org/10.5194/acp-18-8807-2018	journal	January 2018
The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model Eliasson, Salomon; Karlsson, Karl Göran; van Meijgaard, Erik Geoscientific Model Development, Vol. 12, Issue 2 https://doi.org/10.5194/gmd-12-829-2019	journal	January 2019

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