Multiscale Simulation of Precipitation Over East Asia by Variable Resolution CAM-MPAS

Liang, Yuan; Yang, Ben; Wang, Minghuai; Tang, Jianping; Sakaguchi, Koichi; Leung, L. Ruby; Xu, Xin

doi:10.1029/2021ms002656

Title: Multiscale Simulation of Precipitation Over East Asia by Variable Resolution CAM-MPAS

Journal Article · Sun Nov 21 00:00:00 EST 2021 · Journal of Advances in Modeling Earth Systems

DOI:https://doi.org/10.1029/2021ms002656· OSTI ID:1836019

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Nanjing Univ. (China); Nanjing Univ. (China). Joint International Research Lab. of Atmospheric, Earth System Sciences Institute for Climate and Global Change Research
Nanjing Univ. (China)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

This study evaluates the precipitation over East Asia simulated by the variable resolution CAM-MPAS featuring the Model for Prediction Across Scales (MPAS) atmospheric dynamical core coupled with the physics parameterizations of the Community Atmosphere Model (CAM) version 5.4. Two CAM-MPAS experiments, one with a global quasi-uniform resolution mesh of 120 km (MPAS-UR) and the other with a variable resolution mesh of 30 to 120 km refined over East Asia (MPAS-VR), are conducted from 1989 to 2005 following the Atmospheric Model Intercomparison Project protocol. Two regional climate model simulations at ~25 km resolution from the Coordinated Regional Downscaling Experiment East Asia second plan are also analyzed for comparison. Results show that CAM-MPAS performs better than the selected regional models in simulating the precipitation climatology over East Asia. Compared with MPAS-UR, MPAS-VR with refinement over East Asia better simulates the precipitation over and around the Tibetan Plateau (TP), the frequency distribution of light, moderate, and heavy precipitation in various regions of China, and the interannual precipitation pattern associated with the East Asian summer monsoon. The improvements in MPAS-VR relative to MPAS-UR largely come from the decreased grid spacing rather than the use of finer-scale terrain information. Particularly, decreased grid spacing is more essential for simulating the precipitation magnitude over TP and the location of peak precipitation south of TP, likely due to the better resolved physical and dynamical processes associated with orographic precipitation. The 30-120 km CAM-MPAS model is shown to be a promising tool for precipitation simulation over East Asia.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER); National Natural Science Foundation of China (NSFC); Ministry of Science and Technology of China

Grant/Contract Number:: AC05-76RL01830; 41925023; 91744208; 41575073; 41621005; 2017YFA0604002; 2016YFC0200503

OSTI ID:: 1836019

Report Number(s):: PNNL-SA-163477

Journal Information:: Journal of Advances in Modeling Earth Systems, Vol. 13, Issue 11; ISSN 1942-2466

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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54 ENVIRONMENTAL SCIENCES
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precipitation
East Asia
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