气候变化领域集成服务门户(CCPortal): Assimilation of the Maximum Vertical Velocity Converted From Total Lightning Data Through the EnSRF Method

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DOI	10.1029/2020JD034300
	Assimilation of the Maximum Vertical Velocity Converted From Total Lightning Data Through the EnSRF Method
	Gan R.; Yang Y.; Qiu X.; Wang R.; Qiu X.; Zhu L.
发表日期	2021
ISSN	2169897X
卷号	126 期号:9
英文摘要	A total lightning data assimilation (LDA) scheme is developed at the cloud-resolving scale in this study. The LDA scheme assimilates total lightning data through the ensemble square root filter (EnSRF) method based on the relationship between the maximum vertical velocity and the instantaneous flash rate. To verify the effect of LDA, three assimilation experiments based on a convective activity on July 6, 2019 are performed. The results show that all LDA experiments can improve the forecast. LDA improves the water vapor field and provides a warm and moist environment in which convection can develop. LDA can also increase the convergence at low levels and the divergence at upper levels, which leads to intense convection development. However, the LDA experiment that does not consider vertical localization (LDA_no) shows excessive adjustments of the model variables, which leads to overestimation of precipitation. The LDA experiment which adjusts the state variables in the charge zone (LDA_CZ) underestimates the forecast. The LDA experiment using a global group filter (GGF) localization function (LDA_GGF) is optimal in theory and produces a better forecast. The results of LDA_GGF show that the interaction between the cold pool and the strong low-level vertical wind shear in front of the cold pool is beneficial for triggering new convection in front of the convection, which leads to a rapid shifting in convective activity. In addition, the LDA_GGF scheme is evaluated further for a rainfall process on August 1, 2020 and obtains similar forecast improvements for composite reflectivity and accumulated precipitation. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词	convection; EnSRF; lightning data assimilation; maximum vertical velocity; vertical localization
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185239
作者单位	Key Laboratory of Climate Resource Development and Disaster Prevention in Gansu Province, College of Atmospheric Sciences, Lanzhou University, Lanzhou, China; Tianjin Key Laboratory for Oceanic Meteorology, Tianjin Institute of Meteorological Science, Tianjin, China; National Meteorological Center, Beijing, China; Numerical Weather Prediction Center of China Meteorological Administration, Beijing, China; Anhui Meteorological Observatory, Hefei, China
推荐引用方式 GB/T 7714	Gan R.,Yang Y.,Qiu X.,et al. Assimilation of the Maximum Vertical Velocity Converted From Total Lightning Data Through the EnSRF Method[J],2021,126(9).
APA	Gan R.,Yang Y.,Qiu X.,Wang R.,Qiu X.,&Zhu L..(2021).Assimilation of the Maximum Vertical Velocity Converted From Total Lightning Data Through the EnSRF Method.Journal of Geophysical Research: Atmospheres,126(9).
MLA	Gan R.,et al."Assimilation of the Maximum Vertical Velocity Converted From Total Lightning Data Through the EnSRF Method".Journal of Geophysical Research: Atmospheres 126.9(2021).