Global variable-resolution simulations of extreme precipitation over Henan, China, in 2021 with MPAS-Atmosphere v7.3

Liu, Zijun1; Dong, Li1,2; Qiu, Zongxu3; Li, Xingrong3; Yuan, Huiling4; Meng, Dongmei5; Qiu, Xiaobin6; Liang, Dingyuan7; Wang, Yafei8

2024-07-23

10.5194/gmd-17-5477-2024

GEOSCIENTIFIC MODEL DEVELOPMENT   影响因子和分区

1991-959X

1991-9603

A historic rainstorm occurred over Henan, China, in July 2021 ("7.20" extreme precipitation event), resulting in significant human casualties and socioeconomic losses. A global variable-resolution model (MPAS-Atmosphere v7.3) was employed to simulate this extreme precipitation event. A series of simulations have been done at both quasi-uniform (60 and 15 km) and variable-resolution (60-15 and 60-3 km) meshes from hydrostatic to nonhydrostatic scale with two parameterization scheme suites. For the 48 h peak precipitation duration (20-22 July), the 60-3 km variable-resolution simulation coupled with the scale-aware convection-permitting parameterization scheme suite stands out predominantly among other simulation experiments as it reproduces this extreme precipitation event most accurately. At 15 km resolution, the 60-15 km variable-resolution simulation achieves comparable forecasting skills to the 15 km quasi-uniform simulation but at a much reduced computing cost. In addition, we found that the default mesoscale suite generally outperforms the convection-permitting suite at 15 km resolution as simulations coupled with the convection-permitting suite missed the third peak of this extreme precipitation event, while the mesoscale suite did not. Furthermore, it is found that the large-scale circulation plays a critical role in the peak precipitation simulations at 15 km resolution, via influencing the simulated low-level wind. During the second peak precipitation period, simulations with the convection-permitting parameterization scheme suite at 15 km resolution generate a prominent low-level easterly wind component bias, which is largely attributed to the excessively evaporative cooling in the lower troposphere. This study further reveals that at 15 km resolution the diabatic heating from the grid-scale precipitation accounts more for the low-level wind bias than the convective-scale precipitation. Given that two different cloud microphysics schemes, namely Thompson and WSM6 schemes, are used in the convection-permitting and default mesoscale parameterization scheme suites, respectively, these microphysics schemes are found to be the primary contributor to the low-level wind simulation bias.

SCI

英语

第一 ; 通讯

National Natural Science Foundation of China[41975060] ; Shenzhen Science and Technology Innovation Program["JCYJ20190809163007701","JCY20200925160922002"]

Geology

Geosciences, Multidisciplinary

WOS:001274228500001

COPERNICUS GESELLSCHAFT MBH

Web of Science

1.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen, Guangdong, Peoples R China
2.Southern Univ Sci & Technol, Acad Adv Interdisciplinary Studies, Shenzhen, Guangdong, Peoples R China
3.Shenzhen Natl Climate Observ, Shenzhen, Guangdong, Peoples R China
4.Nanjing Univ, Sch Atmospher Sci, Key Lab Mesoscale Severe Weather, Minist Educ, Nanjing, Jiangsu, Peoples R China
5.Tianjin Meteorol Bur, Tianjin, Peoples R China
6.Tianjin Inst Meteorol Sci, Tianjin Key Lab Ocean Meteorol, Tianjin, Peoples R China
7.Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China
8.Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China

Liu, Zijun,Dong, Li,Qiu, Zongxu,et al. Global variable-resolution simulations of extreme precipitation over Henan, China, in 2021 with MPAS-Atmosphere v7.3[J]. GEOSCIENTIFIC MODEL DEVELOPMENT,2024,17(14).

Liu, Zijun.,Dong, Li.,Qiu, Zongxu.,Li, Xingrong.,Yuan, Huiling.,...&Wang, Yafei.(2024).Global variable-resolution simulations of extreme precipitation over Henan, China, in 2021 with MPAS-Atmosphere v7.3.GEOSCIENTIFIC MODEL DEVELOPMENT,17(14).

Liu, Zijun,et al."Global variable-resolution simulations of extreme precipitation over Henan, China, in 2021 with MPAS-Atmosphere v7.3".GEOSCIENTIFIC MODEL DEVELOPMENT 17.14(2024).