Improving the regional model forecasting of persistent severe rainfall over the Yangtze River Valley using the spectral nudging and update cycle methods: a case study

被引：5

作者：

Zhao, Yanfeng ^{[1
,2
,3
]}

Wang, Donghai ^{[1
,4
]}

Xu, Jianjun ^{[5
]}

机构：

[1] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China

[2] Nanjing Univ Informat Sci & Technol, Coll Atmospher Sci, Nanjing, Jiangsu, Peoples R China

[3] George Mason Univ, Global Environm & Nat Resources Inst GENRI, Coll Sci, Fairfax, VA USA

[4] Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Guangzhou, Guangdong, Peoples R China

[5] Guangdong Ocean Univ, Coll Ocean & Meteorol, Zhanjiang, Peoples R China

来源：

ATMOSPHERIC SCIENCE LETTERS | 2017年 / 18卷 / 02期

基金：

中国国家自然科学基金;

关键词：

persistent severe rainfall; precipitation forecasting; spectral nudging; update cycle; EXTREME PRECIPITATION; CHINA; WEATHER; PARAMETERIZATION; PREDICTABILITY; SIMULATION; RESOLUTION; EVENTS; SYSTEM; SCHEME;

D O I：

10.1002/asl.731

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

China's worst flooding since 1998 occurred over the Yangtze River Valley from 30 June to 6 July 2016. This study investigated the event using a new method-the spectral nudging and update cycle (SN+UIC)-in the regional Weather Research and Forecasting model, fuller use of small-scale features by using multi-scale blending. The SN+UIC was found to be successful in improving the prediction of this persistent severe rainfall event; and the larger the magnitude and longer the lead time, the more obvious the improvement. It was also found that the use of this new method decreased the root-mean-square error for related meteorological variables.

引用

页码：96 / 102

页数：7

共 42 条

[11] A new vertical diffusion package with an explicit treatment of entrainment processes [J].

Hong, Song-You ;

Noh, Yign ;

Dudhia, Jimy .

MONTHLY WEATHER REVIEW, 2006, 134 (09) :2318-2341

[12] Blending of Global and Regional Analyses with a Spatial Filter: Application to Typhoon Prediction over the Western North Pacific Ocean [J].

Hsiao, Ling-Feng ;

Huang, Xiang-Yu ;

Kuo, Ying-Hwa ;

Chen, Der-Song ;

Wang, Hongli ;

Tsai, Chin-Cheng ;

Yeh, Tien-Chiang ;

Hong, Jing-Shan ;

Fong, Chin-Tzu ;

Lee, Cheng-Shang .

WEATHER AND FORECASTING, 2015, 30 (03) :754-770

[13]

Huang R., 1998, Clim Environ Res (in Chinese), V3, P300, DOI [10.3878/j.issn.1006-9585.1998.04.02, DOI 10.3878/J.ISSN.1006-9585.1998.04.02, DOI 10.3878/J.ISSN.1006-9585.1998.04.02.(IN]

[14] Effects of model resolution and subgrid-scale physics on the simulation of precipitation in the continental United States [J].

Iorio, JP ;

Duffy, PB ;

Govindasamy, B ;

Thompson, SL ;

Khairoutdinov, M ;

Randall, D .

CLIMATE DYNAMICS, 2004, 23 (3-4) :243-258

[15] Quantitative forecast experiment of a heavy rainfall event over Korea in a global model: horizontal resolution versus lead time issues [J].

Jang, Jihyeon ;

Hong, Song-You .

METEOROLOGY AND ATMOSPHERIC PHYSICS, 2014, 124 (3-4) :113-127

[16]

Kain JS, 2004, J APPL METEOROL, V43, P170, DOI 10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO

[17]

[18]

Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO

[19]

[20] Skill of regional and global model forecast over Indian region [J].

Kumar, Prashant ;

Kishtawal, C. M. ;

Pal, P. K. .

THEORETICAL AND APPLIED CLIMATOLOGY, 2016, 123 (3-4) :629-636

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