Evaluation of the WRF-ARW model during an extreme rainfall event: Subtropical storm Guar?

被引:0
|
作者
Kitagawa, Yasmin Kaore Lago [1 ]
Nascimento, Erick Giovani Sperandio [2 ]
De Souza, Noele Bissoli Perini [1 ]
Zucatelli, Pedro Junior [1 ]
Kumar, Prashant [4 ]
Albuquerque, Taciana Toledo De Almeida [1 ,3 ]
De Moraes, Marcelo Romeiro [5 ]
Moreira, Davidson Martins [1 ,2 ]
机构
[1] Univ Fed Espirito Santo UFES, Vitoria, ES, Brazil
[2] Ctr Integrado Manufatura & Tecnol SENAI CIMATEC, Salvador, BA, Brazil
[3] Univ Fed Minas Gerais UFMG, Belo Horizonte, MG, Brazil
[4] Univ Surrey, Fac Engn & Phys Sci, Global Ctr Clean Air Res GCARE, Dept Civil & Environm Engn, Guildford GU2 7XH, Surrey, England
[5] Univ Fed Pampa UNIPAMPA, Bage, RS, Brazil
来源
ATMOSFERA | 2022年 / 35卷 / 04期
关键词
atmospheric modeling; WRF model; extreme rainfall; northeastern Brazil; physical parameter-ization; BOUNDARY-LAYER VARIABLES; WEATHER RESEARCH; PBL SCHEMES; HEAVY RAINFALL; PARAMETERIZATION SCHEMES; PART I; SENSITIVITY; SIMULATION; PRECIPITATION; PERFORMANCE;
D O I
10.20937/ATM.52977
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study simulates an unusual extreme rainfall event that occurred in Salvador city, Bahia, Brazil, on De-cember 9, 2017, which was named subtropical storm Guara and had precipitation of approximately 24 mm within less than 1 h. Numerical simulations were conducted using the Weather Research and Forecasting (WRF) model over three domains with horizontal resolutions of 9, 3, and 1 km. Different combinations of seven microphysics, three cumulus, and three planetary boundary layer schemes were evaluated based on their ability to simulate the hourly precipitation during this rainfall event. Statistical indices (MB = -0.69; RMSE = 4.11; MAGE = 1.74; r = 0.55; IOA = 0.66; FAC2 = 0.58) and time series plots showed that the most suitable configurations for this weather event were the Mellor-Yamada-Janjic, Grell-Freitas, and Lin formulations for the planetary boundary layer, cumulus, and microphysics schemes, respectively. The results were compared with the data measured at meteorological stations located in Salvador city. The WRF model simulated well the arrival and occurrence of this extreme weather event in a tropical and coastal region, considering that the region already has intense convective characteristics and is constantly influenced by sea breezes, which could interfere in the model results and compromise the performance of the simulations.
引用
收藏
页码:651 / 672
页数:22
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