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dc.date.accessioned2019-02-04T14:30:53Z
dc.date.available2019-02-04T14:30:53Z
dc.date.issued2018-11-01
dc.identifierdoi:10.17170/kobra-20190131142
dc.identifier.urihttp://hdl.handle.net/123456789/11055
dc.description.sponsorshipGefördert durch den Publikationsfonds der Universität Kassel
dc.language.isoeng
dc.rightsUrheberrechtlich geschützt
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectprecipitation estimationeng
dc.subjectorographic correction factor (OCF)eng
dc.subjectwater balanceeng
dc.subjectglacier mass balanceeng
dc.subjectSWAT-hydrological modeleng
dc.subjectUpper Indus Basin (UIB)eng
dc.subjectreverse hydrologyeng
dc.subject.ddc620
dc.titleCorrection and Informed Regionalization of Precipitation Data in a High Mountainous Region (Upper Indus Basin) and Its Effect on SWAT-Modelled Dischargeeng
dc.typeAufsatz
dcterms.abstractThe current study applied a new approach for the interpolation and regionalization of observed precipitation series to a smaller spatial scale (0.125° by 0.125° grid) across the Upper Indus Basin (UIB), with appropriate adjustments for the orographic effect and changes in glacier storage. The approach is evaluated and validated through reverse hydrology, and is guided by observed flows and the available knowledge base. More specifically, the generated corrected precipitation data is validated by means of SWAT-modelled responses of the observed flows to the different input precipitation series (original and corrected ones). The results show that the SWAT-simulated flows using the corrected, regionalized precipitation series as input are much more in line with the observed flows than those using the uncorrected observed precipitation input for which significant underestimations are obtained.eng
dcterms.accessRightsopen access
dcterms.creatorKhan, Asim Jahangir
dcterms.creatorKoch, Manfred
dc.relation.doidoi:10.3390/w10111557
dc.type.versionpublishedVersion
dcterms.source.identifierEISSN: 2073-4441
dcterms.source.issue11
dcterms.source.journalWater
dcterms.source.pageinfo1557
dcterms.source.volume2018, 10


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