Evaluation of the WRF-ARW model during an extreme rainfall event: subtropical storm Guará

IF 1 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES Atmosfera Pub Date : 2021-04-17 DOI:10.20937/ATM.52977
Y. Kitagawa, E. G. S. Nascimento, Noéle Bissoli Perini Souza, P. Zucatelli, Prashant Kumar, T. Albuquerque, M. R. Moraes, D. Moreira
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引用次数: 3

Abstract

This study simulates an unusual extreme rainfall event that occurred in Salvador City, Bahia, Brazil, on December 9, 2017, which was the subtropical storm Guará 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. The results were compared with the data measured at the Brazilian National Institute of Meteorology (INMET) meteorological stations. The best configuration for the planetary boundary layer, cumulus, and microphysics schemes were Mellor-Yamada-Janjić, Grell-Devenyi, and Lin, respectively. The WRF model could depict the daily variations on the hourly parameters well, along with the spatial and temporal evolution of the extreme event.
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极端降雨事件:副热带风暴guar期间WRF-ARW模式的评估
本研究模拟了2017年12月9日发生在巴西巴伊亚州萨尔瓦多市的一次异常极端降雨事件,即亚热带风暴瓜尔,在不到1小时的时间内降雨量约为24 mm。使用天气研究与预报(WRF)模式在水平分辨率为9、3和1 km的三个域上进行了数值模拟。基于7种微物理方案、3种积云方案和3种行星边界层方案的不同组合对该降水事件逐时降水的模拟能力进行了评价。结果与巴西国家气象研究所(INMET)气象站测量的数据进行了比较。行星边界层、积云和微物理方案的最佳构型分别为mellor - yamada - janjiki、Grell-Devenyi和Lin。WRF模式能较好地描述每小时参数的日变化,以及极端事件的时空演变。
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来源期刊
Atmosfera
Atmosfera 地学-气象与大气科学
CiteScore
2.20
自引率
0.00%
发文量
46
审稿时长
6 months
期刊介绍: ATMÓSFERA seeks contributions on theoretical, basic, empirical and applied research in all the areas of atmospheric sciences, with emphasis on meteorology, climatology, aeronomy, physics, chemistry, and aerobiology. Interdisciplinary contributions are also accepted; especially those related with oceanography, hydrology, climate variability and change, ecology, forestry, glaciology, agriculture, environmental pollution, and other topics related to economy and society as they are affected by atmospheric hazards.
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