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

abstract

• 2017 Elsevier Ltd 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.

authors

• Singh, Vijay

published proceedings

• ENVIRONMENTAL MODELLING & SOFTWARE

author list (cited authors)

• Hao, Z., Hao, F., Singh, V. P., Ouyang, W., & Cheng, H.

citation count

• 52

complete list of authors

• Hao, Zengchao||Hao, Fanghua||Singh, Vijay P||Ouyang, Wei||Cheng, Hongguang

publication date

• May 2017

publisher

• Elsevier  Publisher

published in

• Environmental Modelling & Software  Journal

keywords

• Drought Analysis
• Drought Early Warning
• Drought Monitoring
• Drought Prediction
• Extremes

Digital Object Identifier (DOI)

• 10.1016/j.envsoft.2017.02.008

start page

• 199

end page

• 209

volume

• 91

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.envsoft.2017.02.008