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LGM Paleoclimate Constraints Inform Cloud Parameterizations and Equilibrium Climate Sensitivity in CESM2

Authors :
Jiang Zhu
Bette L. Otto‐Bliesner
Esther C. Brady
Andrew Gettelman
Julio T. Bacmeister
Richard B. Neale
Christopher J. Poulsen
Jonah K. Shaw
Zachary S. McGraw
Jennifer E. Kay
Source :
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 4, Pp n/a-n/a (2022)
Publication Year :
2022
Publisher :
American Geophysical Union (AGU), 2022.

Abstract

Abstract The Community Earth System Model version 2 (CESM2) simulates a high equilibrium climate sensitivity (ECS > 5°C) and a Last Glacial Maximum (LGM) that is substantially colder than proxy temperatures. In this study, we examine the role of cloud parameterizations in simulating the LGM cooling in CESM2. Through substituting different versions of cloud schemes in the atmosphere model, we attribute the excessive LGM cooling to the new CESM2 schemes of cloud microphysics and ice nucleation. Further exploration suggests that removing an inappropriate limiter on cloud ice number (NoNimax) and decreasing the time‐step size (substepping) in cloud microphysics largely eliminate the excessive LGM cooling. NoNimax produces a more physically consistent treatment of mixed‐phase clouds, which leads to an increase in cloud ice content and a weaker shortwave cloud feedback over mid‐to‐high latitudes and the Southern Hemisphere subtropics. Microphysical substepping further weakens the shortwave cloud feedback. Based on NoNimax and microphysical substepping, we have developed a paleoclimate‐calibrated CESM2 (PaleoCalibr), which simulates well the observed twentieth century warming and spatial characteristics of key cloud and climate variables. PaleoCalibr has a lower ECS (∼4°C) and a 20% weaker aerosol‐cloud interaction than CESM2. PaleoCalibr represents a physically more consistent treatment of cloud microphysics than CESM2 and is a valuable tool in climate change studies, especially when a large climate forcing is involved. Our study highlights the unique value of paleoclimate constraints in informing the cloud parameterizations and ultimately the future climate projection.

Details

Language :
English
ISSN :
19422466
Volume :
14
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Journal of Advances in Modeling Earth Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.3e87a131864ca09c97fb134bf5b6ad
Document Type :
article
Full Text :
https://doi.org/10.1029/2021MS002776