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Description of future drought indices in Virginia

This article presents projected future drought occurrences in five river basins in Virginia. The Soil and Water Assessment Tool (SWAT) and the Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models were used to derive input variables of multiple drought indices, such as the Standardize...

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Detalles Bibliográficos
Autores principales: Kang, Hyunwoo, Sridhar, Venkataramana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540713/
https://www.ncbi.nlm.nih.gov/pubmed/28795105
http://dx.doi.org/10.1016/j.dib.2017.07.042
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author Kang, Hyunwoo
Sridhar, Venkataramana
author_facet Kang, Hyunwoo
Sridhar, Venkataramana
author_sort Kang, Hyunwoo
collection PubMed
description This article presents projected future drought occurrences in five river basins in Virginia. The Soil and Water Assessment Tool (SWAT) and the Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models were used to derive input variables of multiple drought indices, such as the Standardized Soil Moisture index (SSI), the Multivariate Standardized Drought Index (MSDI), and the Modified Palmer Drought Severity Index (MPDSI) for both historic and future periods. The results of SSI indicate that there was an overall increase in agricultural drought occurrences and that these were caused by increases in evapotranspiration and runoff. However, the results of the MSDI and MPDSI projected a decrease in drought occurrences in future periods due to a greater increase in precipitation in the future. Furthermore, GCM-downscaled products (precipitation and temperature) were verified using comparisons with historic observations, and the results of uncertainty analyses suggest that the lower and upper bounds of future drought projections agree with historic conditions.
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spelling pubmed-55407132017-08-09 Description of future drought indices in Virginia Kang, Hyunwoo Sridhar, Venkataramana Data Brief Environmental Science This article presents projected future drought occurrences in five river basins in Virginia. The Soil and Water Assessment Tool (SWAT) and the Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models were used to derive input variables of multiple drought indices, such as the Standardized Soil Moisture index (SSI), the Multivariate Standardized Drought Index (MSDI), and the Modified Palmer Drought Severity Index (MPDSI) for both historic and future periods. The results of SSI indicate that there was an overall increase in agricultural drought occurrences and that these were caused by increases in evapotranspiration and runoff. However, the results of the MSDI and MPDSI projected a decrease in drought occurrences in future periods due to a greater increase in precipitation in the future. Furthermore, GCM-downscaled products (precipitation and temperature) were verified using comparisons with historic observations, and the results of uncertainty analyses suggest that the lower and upper bounds of future drought projections agree with historic conditions. Elsevier 2017-07-20 /pmc/articles/PMC5540713/ /pubmed/28795105 http://dx.doi.org/10.1016/j.dib.2017.07.042 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Environmental Science
Kang, Hyunwoo
Sridhar, Venkataramana
Description of future drought indices in Virginia
title Description of future drought indices in Virginia
title_full Description of future drought indices in Virginia
title_fullStr Description of future drought indices in Virginia
title_full_unstemmed Description of future drought indices in Virginia
title_short Description of future drought indices in Virginia
title_sort description of future drought indices in virginia
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540713/
https://www.ncbi.nlm.nih.gov/pubmed/28795105
http://dx.doi.org/10.1016/j.dib.2017.07.042
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