TY - JOUR
T1 - Reconciling Compensating Errors Between Precipitation Constraints and the Energy Budget in a Climate Model
AU - Michibata, Takuro
AU - Suzuki, Kentaroh
N1 - Funding Information:
The authors would like to thank the developers of both SPRINTARS and MIROC. The new microphysics and radiation schemes were optimized by Koji Ogochi. Simulations by MIROC6-SPRINTARS were executed on the SX-ACE supercomputer system of the National Institute for Environmental Studies, Japan. This study was supported by JSPS KAKENHI Grant Numbers JP18J00301, JP19K14795, and JP19H05669; the Environment Research and Technology Development Fund (2RF-2003) of the Environmental Restoration and Conservation Agency of Japan; the Integrated Research Program for Advancing Climate Models (TOUGOU) grant number JPMXD0717935457 from the Ministry of Education, Culture, Sports, Science and Technology (MEXT); the JAXA/EarthCARE project; and the Collaborative Research Program of the Research Institute for Applied Mechanics, Kyushu University. Finally, the authors thank Hui Su for editing the manuscript and two anonymous reviewers for providing constructive suggestions and comments, which have significantly improved the paper.
Funding Information:
The authors would like to thank the developers of both SPRINTARS and MIROC. The new microphysics and radiation schemes were optimized by Koji Ogochi. Simulations by MIROC6‐SPRINTARS were executed on the SX‐ACE supercomputer system of the National Institute for Environmental Studies, Japan. This study was supported by JSPS KAKENHI Grant Numbers JP18J00301, JP19K14795, and JP19H05669; the Environment Research and Technology Development Fund (2RF‐2003) of the Environmental Restoration and Conservation Agency of Japan; the Integrated Research Program for Advancing Climate Models (TOUGOU) grant number JPMXD0717935457 from the Ministry of Education, Culture, Sports, Science and Technology (MEXT); the JAXA/EarthCARE project; and the Collaborative Research Program of the Research Institute for Applied Mechanics, Kyushu University. Finally, the authors thank Hui Su for editing the manuscript and two anonymous reviewers for providing constructive suggestions and comments, which have significantly improved the paper.
Publisher Copyright:
©2020. The Authors.
PY - 2020/6/28
Y1 - 2020/6/28
N2 - Precipitation microphysics and the effective radiative forcing due to aerosol-cloud interactions (ERFaci) contribute to some of the largest uncertainties in general circulation models (GCMs) and are closely interrelated. This study shows that a sophisticated, two-moment prognostic precipitation scheme can simultaneously represent both warm rain characteristics consistent with satellite observations and a realistic ERFaci magnitude, thus reconciling compensating errors between precipitation microphysics and ERFaci that are common to many GCMs. The enhancement of accretion from prognostic precipitation and accretion-driven buffering mechanisms in scavenging processes are found to be responsible for mitigating the compensating errors. However, single-moment prognostic precipitation without the explicit prediction of raindrop size cannot capture observed warm rain characteristics. Results underscore the importance of using a two-moment representation of both clouds and precipitation to realistically simulate precipitation-driven buffering of the cloud response to aerosol perturbations.
AB - Precipitation microphysics and the effective radiative forcing due to aerosol-cloud interactions (ERFaci) contribute to some of the largest uncertainties in general circulation models (GCMs) and are closely interrelated. This study shows that a sophisticated, two-moment prognostic precipitation scheme can simultaneously represent both warm rain characteristics consistent with satellite observations and a realistic ERFaci magnitude, thus reconciling compensating errors between precipitation microphysics and ERFaci that are common to many GCMs. The enhancement of accretion from prognostic precipitation and accretion-driven buffering mechanisms in scavenging processes are found to be responsible for mitigating the compensating errors. However, single-moment prognostic precipitation without the explicit prediction of raindrop size cannot capture observed warm rain characteristics. Results underscore the importance of using a two-moment representation of both clouds and precipitation to realistically simulate precipitation-driven buffering of the cloud response to aerosol perturbations.
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U2 - 10.1029/2020GL088340
DO - 10.1029/2020GL088340
M3 - Article
AN - SCOPUS:85086805202
SN - 0094-8276
VL - 47
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 12
M1 - e2020GL088340
ER -
