Evaluation of extreme precipitation in the Yangtze River Delta Region of China using a 1.5 km mesh convection-permitting regional climate model

Dong, Guangtao1,2; Jiang, Zhiyu3; Wang, Ya4; Tian, Zhan5; Liu, Junguo5

2022-03-01

10.1007/s00382-022-06208-1

CLIMATE DYNAMICS   影响因子和分区

0930-7575

1432-0894

Realistic representation of rainfall characteristics on local scales by state-of-the-art climate models remains a key challenge, especially on sub-daily timescales. In this study, the convection-permitting Weather Research and Forecasting (WRF) model configured with 1.5 km grid spacing is used to simulate precipitation on sub-daily timescales over the Yangtze River Delta Region of China for continuous 10 years (2005-2014). The simulations are compared with rain gauge observations, reanalysis data, and the simulations of a lower resolution WRF with 9 km grid spacing that has a parameterization of convection. The results show that precipitation over the region can be well captured by using the convection-permitting model (CPM). Furthermore, the intensity, duration and coverage of these precipitation events can be more accurately described by the CPM. On the convection timescales of 1-4 h, especially for heavy rainfall events, the CPM is more accurate than the convection-parameterized model in capturing the short-duration events, which may be due to its better account of physical processes related to the convection on the convection-permitting scale. In addition, the extreme events which are more localized and with short-duration can be represented better by the CPM while the convection-parameterized model tends to produce widespread precipitation events covering more grid cells than observations Biases of the simulation by the 9-km mesh convection-parameterized mode appear to be related to the deficiencies in the representation of convections.

Convection-permitting model Extreme precipitation Regional climate model Extreme events

SCI

英语

通讯

National Key R&D Program of China[2019YFE0124800] ; National Natural Science Foundation of China[51761135024,41730959] ; Social Development Projects of STCSM["19DZ1201402","19DZ1201500"]

Meteorology & Atmospheric Sciences

Meteorology & Atmospheric Sciences

WOS:000769360800002

SPRINGER

GEOSCIENCES

Web of Science

1.Shanghai Climate Ctr, Shanghai 200030, Peoples R China
2.China Meteorol Adm, Key Lab Cities Mitigat & Adaptat Climate Change S, Shanghai 200030, Peoples R China
3.Nanjing Univ, Sch Atmospher Sci, Nanjing 201400, Peoples R China
4.Shanghai Meteorol Disaster Prevent Technol Ctr, Shanghai 200030, Peoples R China
5.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China

Dong, Guangtao,Jiang, Zhiyu,Wang, Ya,et al. Evaluation of extreme precipitation in the Yangtze River Delta Region of China using a 1.5 km mesh convection-permitting regional climate model[J]. CLIMATE DYNAMICS,2022.

Dong, Guangtao,Jiang, Zhiyu,Wang, Ya,Tian, Zhan,&Liu, Junguo.(2022).Evaluation of extreme precipitation in the Yangtze River Delta Region of China using a 1.5 km mesh convection-permitting regional climate model.CLIMATE DYNAMICS.

Dong, Guangtao,et al."Evaluation of extreme precipitation in the Yangtze River Delta Region of China using a 1.5 km mesh convection-permitting regional climate model".CLIMATE DYNAMICS (2022).