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Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations.

Authors :
Michibata, Takuro
Suzuki, Kentaroh
Sekiguchi, Miho
Takemura, Toshihiko
Source :
Journal of Advances in Modeling Earth Systems; Mar2019, Vol. 11 Issue 3, p839-860, 22p
Publication Year :
2019

Abstract

A comprehensive two‐moment microphysics scheme is incorporated into the MIROC6‐SPRINTARS general circulation model (GCM). The new scheme includes prognostic precipitation for both rain and snow and considers their radiative effects. To evaluate the impacts of applying different treatments of precipitation and the associated radiative effect, we perform climate simulations employing both the traditional diagnostic and new prognostic precipitation schemes, the latter also being tested with and without incorporating the radiative effect of snow. The prognostic precipitation, which maintains precipitation in the atmosphere across multiple time steps, models the ratio of accretion to autoconversion as being approximately an order of magnitude higher than that for the diagnostic scheme. Such changes in microphysical process rates tend to reduce the cloud water susceptibility as the autoconversion process is the only pathway through which aerosols can influence rain formation. The resultant anthropogenic aerosol effect is reduced by approximately 21% in the prognostic precipitation scheme. Modifications to the microphysical process rates also change the vertical distribution of hydrometeors in the manner that increases the fractional occurrence of single‐layered warm clouds by 38%. The new scheme mitigates the excess of supercooled liquid water produced by the previous scheme and increases the total mass of ice hydrometeors. Both characteristics are consistent with CloudSat/CALIPSO retrievals. The radiative effect of snow is significant at both longwave and shortwave (6.4 and 5.1 W/m2 in absolute values, respectively) and can alter the precipitation fields via energetic controls on precipitation. These results suggest that the prognostic precipitation scheme, with its radiative effects incorporated, makes an indispensable contribution to improving the reliability of climate modeling. Key Points: Prognostic precipitation (both rain and snow) and its radiative effects are introduced into the MIROC6‐SPRINTARS aerosol‐climate modelAerosol‐cloud‐precipitation‐climate interactions are evaluated using multisensor satellite data sets for different treatments of rainThe radiative effect of snow is significant for both longwave and shortwave radiation and must be included for more reliable climate modeling [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19422466
Volume :
11
Issue :
3
Database :
Complementary Index
Journal :
Journal of Advances in Modeling Earth Systems
Publication Type :
Academic Journal
Accession number :
135990198
Full Text :
https://doi.org/10.1029/2018MS001596