Understanding and Reducing Warm and Dry Summer Biases in the Central United States: Improving Cumulus Parameterization

被引:7
|
作者
Sun, Chao [1 ,2 ]
Liang, Xin-Zhong [1 ,2 ]
机构
[1] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
[2] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
基金
美国国家科学基金会; 美国食品与农业研究所;
关键词
Climate prediction; Cumulus clouds; Bias; Numerical analysis; modeling; MESOSCALE CONVECTIVE SYSTEMS; LARGE-SCALE ENVIRONMENTS; REGIONAL CLIMATE; CLOUD ENSEMBLE; BOUNDARY-LAYER; MODEL; PRECIPITATION; REPRESENTATION; SIMULATIONS; RADIATION;
D O I
10.1175/JCLI-D-22-0254.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Most climate models still suffer large warm and dry summer biases in the central United States (CUS). As a solution, we improved cumulus parameterization to represent 1) the lifting effect of small-scale rising motions associated with Great Plains low-level jets and midtropospheric perturbations by defining the cloud base at the level of condensation, 2) the constraint of the cumulus entrainment rate depending on the boundary layer depth, and 3) the temperature -dependent cloud-to-rainwater conversion rate. These improvements acted to (i) trigger mesoscale convective systems in unfavorable environmental conditions to enhance total rainfall amount, (ii) lower cloud base and increase cloud depth to increase low-level clouds and reduce surface shortwave radiation, (iii) suppress penetrative cumuli from shallow boundary layers to remedy the overestimation of precipitation frequency, and (iv) increase water detrainment to form sufficient cir-rus clouds and balanced outgoing longwave radiation. Much of these effects were nonlocal and nonlinear, where more frequent but weaker convective rainfall led to stronger (and sometimes more frequent) large-scale precipitation remotely. Together, they produced consistently heavier precipitation and colder temperature with a realistic atmospheric energy balance, essentially eliminating the CUS warm and dry biases through robust physical mechanisms.
引用
收藏
页码:2015 / 2034
页数:20
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