Parameterizing Subgrid Variations of Land Surface Heat Fluxes to the Atmosphere Improves Boreal Summer Land Precipitation Simulation With the NCAR CESM1.2

被引:6
|
作者
Sun, Wenqi [1 ,2 ]
Wang, Bin [1 ,2 ,3 ,4 ]
Wang, Yong [1 ,2 ]
Zhang, Guang J. [5 ]
Han, Yilun [1 ,2 ]
Wang, Xu [1 ,2 ,5 ]
Yang, Mengmiao [6 ]
机构
[1] Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing, Peoples R China
[2] Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China
[3] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modelling Atmospher Sci & Geo, Beijing, Peoples R China
[4] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China
[5] Scripps Inst Oceanog, La Jolla, CA USA
[6] Fujian Normal Univ, Minist Educ, Key Lab Humid Subtrop Ecogeog Proc, Fuzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
global climate models; parameterization; precipitation; subgrid land surface fluxes; INTRASEASONAL VARIABILITY; SENSITIVITY; CONVECTION; CMIP3; GCM;
D O I
10.1029/2020GL090715
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Subgrid horizontal variations of land surface heat fluxes to the atmosphere resulting from subgrid land cover heterogeneity are important in land-atmosphere interaction in global climate models (GCMs). To incorporate it, a parameterization using stochastic sampling based on truncated normal distributions diagnosed from the land model and internal ensemble mean of multiple calls to the planetary boundary layer and deep convection schemes is developed. After its implementation in the National Center for Atmospheric Research (NCAR) Community Earth System Model version 1.2 (CESM1.2), large changes of simulated land precipitation are found to occur in regions where large subgrid variations of surface heat fluxes exist. The simulated precipitation is improved in boreal summer, especially over eastern China and the coastal areas of the Bay of Bengal. The improved precipitation is mainly a result of improved large-scale moisture convergence and advection by altered vertical diffusion and convection.
引用
收藏
页数:10
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