Tracking seasonal fluctuations of drought indices with GRACE terrestrial water storage over major river basins in South India

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dc.contributor.authorKumar, K. Satishen
dc.contributor.authorRatnam, E. Venkataen
dc.contributor.authorSridhar, Venkataramanaen
dc.coverage.countryIndiaen
dc.date.accessioned2024-01-22T20:16:38Zen
dc.date.available2024-01-22T20:16:38Zen
dc.date.issued2020-10-15en
dc.description.abstractDrought is a complex natural hazard that affects ecosystems and society in several ways and it is important to quantify drought at the river basin scale. Assessment of drought requires both hydrological observations and simulation models as the data are generally scarce. Therefore, we use remote sensing products to help understand drought conditions in four basins in South India. This study analysed the correlation among five drought indices for four seasons: gravity recovery and climate experiment - drought severity index (GRACE-DSI), standardized precipitation index (SPI), self-calibrated palmer drought severity index (sc_PDSI), standardized precipitation-evapotranspiration index (SPEI), and combined climatologic deviation index (CCDI) with GRACE terrestrial water storage anomalies (TWSA) using the Pearson correlation coefficient (r) from 2002 to 2016 over the Godavari, Krishna, Pennar, and Cauvery river basins. Basin scale drought events are evaluated using CCDI, GRACEDSI, sc_PDSI, SPI12, and SPEI12 at seasonal and monthly time scale. Characteristics of drought event analysis are calculated for CCDI monthly. The results showed that GRACE TWS is highly correlated with GRACE-DSI, CCDI, and sc_PDSI. Seasonally, high spatial correlations between CCDI and GRACE-DSI with GRACE TWS are evident for all the river basins. Additionally, correlation is found to exist between sc_PDSI and GRACE TWS as soil moisture content is an operating variable between them. The 12-month SPI and SPEI correlated better with GRACE TWS than the 3 and 6-month periods. Among the four basins, droughts in the Krishna Basin lasted 29 months, longer than in the rest of the basins between 2003 and 2005. Overall, CCDI and GRACE-DSI indices are found to be effective for examining and evaluating the drought conditions at the basin scale.en
dc.description.versionAccepted versionen
dc.format.extent18 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifierARTN 142994 (Article number)en
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2020.142994en
dc.identifier.eissn1879-1026en
dc.identifier.issn0048-9697en
dc.identifier.orcidSridhar, Venkataramana [0000-0002-1003-2247]en
dc.identifier.otherS0048-9697(20)36524-4 (PII)en
dc.identifier.pmid33129527en
dc.identifier.urihttps://hdl.handle.net/10919/117578en
dc.identifier.volume763en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/33129527en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectDrought indicesen
dc.subjectGRACEen
dc.subjectPearson correlation coefficienten
dc.subjectTWSAen
dc.subjectDrought characteristicsen
dc.titleTracking seasonal fluctuations of drought indices with GRACE terrestrial water storage over major river basins in South Indiaen
dc.title.serialScience of the Total Environmenten
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dcterms.dateAccepted2020-10-06en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciencesen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/Biological Systems Engineeringen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/CALS T&R Facultyen

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