An integrated package for drought monitoring, prediction and analysis to aid drought modeling and assessment

被引:68
|
作者
Hao, Zengchao [1 ]
Hao, Fanghua [1 ]
Singh, Vijay P. [2 ]
Ouyang, Wei [1 ]
Cheng, Hongguang [1 ]
机构
[1] Beijing Normal Univ, Sch Environm, Green Dev Inst, Beijing 100875, Peoples R China
[2] Texas A&M Univ, Zachry Dept Civil Engn, Dept Biol & Agr Engn, College Stn, TX 77843 USA
基金
中国国家自然科学基金;
关键词
Drought monitoring; Drought prediction; Drought analysis; Drought early warning; Extremes; GLOBAL METEOROLOGICAL DROUGHT; SEASONAL PREDICTION; RETURN PERIOD; PLOTTING POSITIONS; FREQUENCY-ANALYSIS; FORECAST SYSTEM; INDICATORS; INDEX; PRECIPITATION; DISTRIBUTIONS;
D O I
10.1016/j.envsoft.2017.02.008
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Due to severe drought events and disastrous impacts in recent decades, substantial efforts have been devoted recently to drought monitoring, prediction and risk analysis for aiding drought preparedness plans and mitigation measures. Providing an overview of these aspects of drought research, this study presents an integrated R package and illustrates a wide range of its applications for drought modeling and assessment based on univariate and multivariate drought indices for both operational and research purposes. The package also includes statistical prediction of drought in a probabilistic manner based,on multiple drought indicators, which serves as a baseline for drought prediction. The univariate and multivariate drought risk analysis of drought properties and indices is also presented. Finally, potential extensions of this package are also discussed. The package is provided freely to public to aid drought early warning and management. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:199 / 209
页数:11
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