Drought characterization over India under projected climate scenario

dc.contributor.authorBisht, D. S.en
dc.contributor.authorSridhar, Venkataramanaen
dc.contributor.authorMishra, A.en
dc.contributor.authorChatterjee, C.en
dc.contributor.authorRaghuwanshi, N. S.en
dc.contributor.departmentBiological Systems Engineeringen
dc.date.accessioned2018-12-19T12:57:41Zen
dc.date.available2018-12-19T12:57:41Zen
dc.date.issued2019-03-30en
dc.date.updated2018-12-19T12:57:39Zen
dc.description.abstractThe study evaluates the drought characteristics in India over projected climatic scenarios in different time frames i.e., near-future (2010-2039), mid-future (2040-2069), and far-future (2070-2099) in comparison with reference period (1976-2005). Standardized Precipitation Evapotranspiration Index (SPEI), a multiscalar drought index was used owing to its robustness in capturing drought conditions while accounting the temperature. Gridded rainfall and temperature data provided by India Meteorological Department (IMD) was used to perform bias correction of 9 Global Climate Models (GCMs) from Coupled Model Intercomparison Project Phase 5 (CMIP5) project. Quantile mapping was used to correct the daily rainfall data at seasonal scale whereas daily temperature data was corrected at monthly scale. Multi-Model Ensemble (MME) was prepared for different homogeneous monsoon regions of India, namely Hilly Regions (HR), Central Northeast (CNE), Northeast (NE), Northwest (NW), West Central (WC), and Peninsula (PS). Taylor diagram statistics were used for the preparation of MME. The regional climate cycle obtained from MME was found to be in good agreement with observed cycle derived from IMD data. The Mann-Kendal trend test was employed to detect the trend in drought severity and magnitude whereas L-moments based frequency analysis was used to assess the magnitude of extreme drought severity under different time frames. The study reveals an increasing trend in drought severity, duration, occurrences, and the average length of drought under warming climate scenarios. Furthermore, the area under ‘above moderate drought’ (i.e., severe and extreme drought combined) condition was also found to be increasing in projected climate.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1002/joc.5922en
dc.identifier.orcidSridhar, Venkataramana [0000-0002-1003-2247]en
dc.identifier.urihttp://hdl.handle.net/10919/86448en
dc.language.isoenen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject0401 Atmospheric Sciencesen
dc.subject0905 Civil Engineeringen
dc.subject0907 Environmental Engineeringen
dc.subjectMeteorology & Atmospheric Sciencesen
dc.titleDrought characterization over India under projected climate scenarioen
dc.title.serialInternational Journal of Climatologyen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dcterms.dateAccepted2018-11-08en
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciencesen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/Biological Systems Engineeringen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/CALS T&R Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciences/Fralin Affiliated Facultyen
pubs.organisational-group/Virginia Tech/University Research Institutes/Fralin Life Sciencesen
pubs.organisational-group/Virginia Tech/University Research Institutesen

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