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

作者：Hao, Zengchao^*; Hao, Fanghua; Singh, Vijay P.; Ouyang, Wei; Cheng, Hongguang

来源：Environmental Modelling & Software, 2017, 91: 199-209.

DOI：10.1016/j.envsoft.2017.02.008

• Drought monitoring
• Drought prediction
• Drought analysis
• Drought early warning
• Extremes

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.

• 出版日期2017-5
• 单位北京师范大学