Effects of Organized Convection Parameterization on the MJO and Precipitation in E3SMv1. Part I: Mesoscale Heating

被引：20

作者：

Chen, C-C ^{[1
]}

Richter, J. H. ^{[1
]}

Liu, C. ^{[2
]}

Moncrieff, M. W. ^{[1
]}

Tang, Q. ^{[3
]}

Lin, W. ^{[4
]}

Xie, S. ^{[3
]}

Rasch, P. J. ^{[5
]}

机构：

[1] Natl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA

[2] Natl Ctr Atmospher Res, Res Applicat Lab, POB 3000, Boulder, CO 80307 USA

[3] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA

[4] Brookhaven Natl Lab, Upton, NY 11973 USA

[5] Pacific Northwest Natl Lab, Richland, WA 99352 USA

来源：

JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS | 2021年 / 13卷 / 06期

基金：

美国国家科学基金会;

关键词：

convection; MJO; mesoscale; precipitation; Kelvin waves; COMMUNITY ATMOSPHERE MODEL; VERSION; CLOUD; MICROPHYSICS; CIRCULATION; SCHEME; WIND;

D O I：

10.1029/2020MS002401

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

Mesoscale organization of convection is typically not represented in global circulation models, and hence its influence on the global circulation is not accounted for. The heating component of a parameterization that represents the dynamical and physical effects of circulations associated with organized convection, referred to as the multiscale coherent structure parameterization (MCSP), is implemented in the Energy Exascale Earth System Model version 1 (E3SMv1). Numerical simulations are conducted to assess its impact on the simulated climate. Besides E3SMv1 simulations, we performed high-resolution (2 km) simulations using the Weather Research and Forecasting (WRF) Model to determine the temperature tendencies induced by mesoscale convective systems embedded in deep convection. We tuned the free parameters of the MCSP based on the WRF simulations. MCSP heating enhances Kevin wave spectra in E3SMv1, improves the representation of the Madden-Julian Oscillation, and reduces precipitation biases over the tropical Pacific.

引用

页数：18

共 1 条

[1] Effects of coupling a stochastic convective parameterization with the Zhang-McFarlane scheme on precipitation simulation in the DOE E3SMv1.0 atmosphere model
Wang, Yong
Zhang, Guang J.
Xie, Shaocheng
Lin, Wuyin
Craig, George C.
Tang, Qi
Ma, Hsi-Yen
[J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2021, 14 (03) : 1575 - 1593

← 1 →