An integrated package for drought monitoring,prediction and analysis to aid drought modeling and assessment |
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| Affiliation: | 1. Green Development Institute, School of Environment, Beijing Normal University, Beijing, 100875, China;2. Department of Biological and Agricultural Engineering, Zachry Department of Civil Engineering, Texas A&M University, USA;1. Green Development Institute, School of Environment, Beijing Normal University, Beijing 100875, China;2. Hydrometeorology and Remote Sensing Lab and Advanced Radar Research Center, Norman, OK, USA;3. School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA;4. I.M. System Group at Environmental Modeling Center, National Centers for Environmental Prediction, College Park, MD, USA;5. Department of Biological and Agricultural Engineering and Zachry Department of Civil Engineering, Texas A&M University, College Station, TX, USA;1. State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China;2. General Institute of Water Resources and Hydropower Planning and Design, Ministry of Water Resources, Beijing 100120, China;1. Hydrology Technical Group, Pacific Northwest National Laboratory, Richland, WA, United States;2. Remote Sensing and Water Resources Lab, Department of Civil and Environmental Engineering, Portland State University, United States;1. Department of Civil and Environmental Engineering, Hanyang University, Seoul 133-791, Republic of Korea;2. Department of Agricultural Engineering, University of Engineering and Technology, Peshawar 25120, Pakistan;3. Department of Civil and Environmental Engineering, Hanyang University, Ansan 426-791, Republic of Korea |
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| Abstract: | 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. |
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| Keywords: | Drought monitoring Drought prediction Drought analysis Drought early warning Extremes |
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