气候变化领域集成服务门户(CCPortal): Role of convection representation across the gray zone in forecasting warm season extreme precipitation over Shanghai from two typical cases

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DOI	10.1016/j.atmosres.2020.105370
	Role of convection representation across the gray zone in forecasting warm season extreme precipitation over Shanghai from two typical cases
	Wang R.; Qiao F.; Liang X.-Z.; Zhu Y.; Zhang H.; Li Q.; Ding Y.
发表日期	2021
ISSN	0169-8095
英文摘要	This study investigates the role of convection representation across the gray zone in the multigrid nesting Weather Research and Forecasting (WRF) model based on two extreme precipitation events in Shanghai during the warm season. The precipitation forecast sensitivity and physical processes are examined using three convective treatments: (1) the traditional Kain-Fritsch (KF), (2) scale-aware Grell-Freitas (GF) cumulus parameterization, and (3) explicit convection (EC) solution and different nesting configurations consisting of grid spacings of 27, 15, 9, 5, 3, and 1 km using single, double, and triple nestings. At coarser grids (> 10 km), GF produces wet biases with delayed rainfall peaks, while KF produces dry biases with largely underestimated rainfall peaks. At a 9-km grid spacing, these biases were largely reduced, and using cumulus parameterizations (CUPs) shows specific advantages over the EC in the diurnal variation in extreme precipitation. GF performs better in simulating primary rainfall peak intensity, but KF performs better in simulating diurnal timing, albeit with underestimated intensity. The utilization of CUPs is beneficial at the 5-km grid in simulating both extreme intensity and diurnal variations, but it shows mixed effects at 3 km. When the 1-km grid with explicit convection was nested directly into their outermost 15-km or 9-km grids using KF CUP, avoiding treatment in the gray zone (5 km or 3 km), the primary rainfall peak at noon was best reproduced, but a secondary peak with a weak forcing was not detected. This peak was identified with local moisture divergence and a stable atmosphere. © 2020 Elsevier B.V.
英文关键词	Cumulus parameterization; Explicit convection; Grid spacing; Nesting
语种	英语
scopus关键词	Clouds; Rain; Cumulus parameterization; Diurnal variation; Extreme precipitation; Extreme precipitation events; Peak intensity; Physical process; Precipitation forecast; Weather research and forecasting models; Weather forecasting
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162278
作者单位	Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China; School of Geographic Sciences, East China Normal University, Shanghai, 200241, China; Institute of Eco-Chongming (IEC), Shanghai, 200062, China; College of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing, China; Department of Atmospheric & Oceanic Science, University of Maryland at College Park, United States; Earth System Science Interdisciplinary Center, University of MarylandMD, United States; Shanghai Central Meteorological Observatory, Shanghai, 200030, China; Shanghai Songjiang Meteorological ServiceShanghai 201613, China
推荐引用方式 GB/T 7714	Wang R.,Qiao F.,Liang X.-Z.,et al. Role of convection representation across the gray zone in forecasting warm season extreme precipitation over Shanghai from two typical cases[J],2021.
APA	Wang R..,Qiao F..,Liang X.-Z..,Zhu Y..,Zhang H..,...&Ding Y..(2021).Role of convection representation across the gray zone in forecasting warm season extreme precipitation over Shanghai from two typical cases.Atmospheric Research.
MLA	Wang R.,et al."Role of convection representation across the gray zone in forecasting warm season extreme precipitation over Shanghai from two typical cases".Atmospheric Research (2021).