长江中游城市群极端降雨模拟的 WRF 物理参数化评估

IF 6 2区 工程技术 Q1 ENVIRONMENTAL SCIENCES
Yuhua Luo , Ming Zhang , Qian Cao , Lunche Wang
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引用次数: 0

摘要

随着极端降水事件的增多,对准确可靠的极端降水预报系统的需求日益迫切。本研究评估了天气研究和预报(WRF)模式中各种物理参数化方案在预报长江中游城市群(YRMRUA)极端降水方面的性能。采用了三种评估方法:采用与理想解相似度排序法(TOPSIS)、基于对象的诊断评估法(MODE)和结构-振幅-定位法(SAL)对四种微观物理(MP)方案和三种积云参数化(CP)方案进行了评估。结果表明,对于大尺度天气系统事件,Lin(KF + EC)方案表现最佳,而对于小尺度天气系统事件,WSM6(MSKF + EC)方案更为有效。对于 MP 方案,单时刻 MP 方案一般优于双时刻 MP 方案。对于CP方案,当内域在灰度分辨率范围内时,显式对流更为有效。在外域,KF 方案对大尺度事件的模拟性能更好,而 MSKF 方案对小尺度事件的模拟性能更好。这些发现有助于更好地模拟 YRMRUA 中的极端降水,并为利用 WRF 模式生成降水数值预报组合提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An evaluation of the WRF physical parameterizations for extreme rainfall simulation in the Yangtze River Middle Reaches Urban Agglomeration
With the increase in extreme precipitation events, the need for accurate and reliable extreme precipitation forecasting systems has become increasingly urgent. This study evaluates the performance of various physical parameterization schemes within the Weather Research and Forecasting (WRF) model for forecasting extreme precipitation in the Yangtze River Middle Reaches Urban Agglomeration (YRMRUA). Three assessment methods were employed: Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Method for Object-based Diagnostic Evaluation (MODE), and Structure-Amplitude-Location (SAL) to assess four microphysics (MP) schemes and three cumulus parameterization (CP) schemes. The results indicate that for large-scale weather system event, the Lin (KF + EC) scheme performs the best, while for small-scale weather system event, the WSM6 (MSKF+EC) scheme is more effective. For MP schemes, Single-moment MP schemes are generally superior to double-moment MP schemes. For CP schemes, when the inner domain is within the gray resolution range, explicit convection is more effective. In the outer domain, the KF scheme shows better simulation performance for large-scale event, while the MSKF scheme performs better for small-scale event. These findings contribute to better simulation of extreme precipitation in the YRMRUA and serve a reference for generating numerical precipitation forecast ensembles with the WRF model.
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来源期刊
Urban Climate
Urban Climate Social Sciences-Urban Studies
CiteScore
9.70
自引率
9.40%
发文量
286
期刊介绍: Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following: Urban meteorology and climate[...] Urban environmental pollution[...] Adaptation to global change[...] Urban economic and social issues[...] Research Approaches[...]
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