Linking Stochasticity of Convection to Large-Scale Vertical Velocity to Improve Indian Summer Monsoon Simulation in the NCAR CAM5

Wang, Yong; Zhang, Guang J.; Jiang, Yiquan

doi:10.1175/jcli-d-17-0785.1

Title: Linking Stochasticity of Convection to Large-Scale Vertical Velocity to Improve Indian Summer Monsoon Simulation in the NCAR CAM5

Journal Article · Thu Jul 26 00:00:00 EDT 2018 · Journal of Climate

DOI:https://doi.org/10.1175/jcli-d-17-0785.1· OSTI ID:1541851

^[1]; Zhang, Guang J. ^[2]; Jiang, Yiquan ^[3]

Tsinghua Univ., Beijing (China). Dept. of Earth System Science
Tsinghua Univ., Beijing (China). Dept. of Earth System Science; Univ. of California, San Diego, CA (United States). Scripps Inst. of Oceanography
Nanjing Univ. (China). School of Atmospheric Sciences, CMA–NJU Joint Lab. for Climate Prediction Studies, Inst. for Climate and Global Change Research

The Plant–Craig (PC) stochastic convective parameterization scheme is modified by linking the stochastic generation of convective clouds to the change of large-scale vertical pressure velocity at 500 hPa with time so as to better account for the relationship between convection and the large-scale environment. Three experiments using the National Center for Atmospheric Research (NCAR) Community Atmosphere Model, version 5 (CAM5), are conducted: one with the default Zhang–McFarlane deterministic convective scheme, another with the original PC stochastic scheme, and a third with the modified PC stochastic scheme. Evaluation is focused on the simulation of the Indian summer monsoon (ISM), which is a long-standing challenge for all current global circulation models. Results show that the modified stochastic scheme better represents the annual cycle of the climatological mean rainfall over central India and the mean onset date of ISM compared to other simulations. Also, for the simulations of ISM intraseasonal variability for quasi-biweekly and 30–60-day modes, the modified stochastic parameterization produces more realistic propagation and magnitude, especially for the observed northeastward movement of the 30–60-day mode, for which the other two simulations show the propagation in the opposite direction. Causes are investigated through a moisture budget analysis. Compared to the other two simulations, the modified stochastic scheme with an appropriate representation of convection better represents the patterns and amplitudes of large-scale dynamical convergence and moisture advection and thus corrects the monsoon cycle associated with their covariation during the peaks and troughs of intraseasonal oscillation.

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Research Organization:: Univ. of California, San Diego, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: SC0016504

OSTI ID:: 1541851

Journal Information:: Journal of Climate, Vol. 31, Issue 17; ISSN 0894-8755

Publisher:: American Meteorological SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 10 works

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Title: Linking Stochasticity of Convection to Large-Scale Vertical Velocity to Improve Indian Summer Monsoon Simulation in the NCAR CAM5

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