Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/100658
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.contributorMainland Development Office-
dc.creatorQing, Yen_US
dc.creatorWang, Sen_US
dc.creatorZhang, Ben_US
dc.creatorWang, Yen_US
dc.date.accessioned2023-08-11T03:12:25Z-
dc.date.available2023-08-11T03:12:25Z-
dc.identifier.issn0930-7575en_US
dc.identifier.urihttp://hdl.handle.net/10397/100658-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© Springer-Verlag GmbH Germany, part of Springer Nature 2020en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00382-020-05372-6en_US
dc.subjectCopulaen_US
dc.subjectDroughten_US
dc.subjectFlooden_US
dc.subjectHydrological extremesen_US
dc.subjectRegional climate projectionen_US
dc.titleUltra-high resolution regional climate projections for assessing changes in hydrological extremes and underlying uncertaintiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2031en_US
dc.identifier.epage2051en_US
dc.identifier.volume55en_US
dc.identifier.issue7-8en_US
dc.identifier.doi10.1007/s00382-020-05372-6en_US
dcterms.abstractThe frequency and intensity of extreme hydrological events (droughts and floods) have been increasing over the past few decades, which has been posing a threat to water security and agriculture production. Thus, projecting the future evolution of hydrological extremes plays a crucial role in sustainable water management and agriculture development in a changing climate. In this study, we develop the high-resolution projections of multidimensional drought characteristics and flood risks using the convection-permitting Weather Research and Forecasting (WRF) model with the horizontal grid spacing of 4 km for the Blanco and Mission River basins over South Texas. Uncertainties in model parameters are addressed explicitly, thereby leading to probabilistic assessments of hydrological extremes. Our findings reveal that the probabilistic multivariate assessments of drought and flood risks can reduce the underestimation and the biased conclusions generated from the univariate assessment. Furthermore, our findings disclose that future droughts are expected to become more severe over South Texas even though the frequency of the occurrence of droughts is projected to decrease, especially for the long-term drought episodes. In addition, South Texas region is expected to experience more floods with an increasing river discharge. Moreover, the Blanco and Mission river basins will suffer from higher flood risks as flood return periods are expected to become longer under climate change.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationClimate dynamics, Oct. 2020, v. 55, no. 7-8, p. 2031-2051en_US
dcterms.isPartOfClimate dynamicsen_US
dcterms.issued2020-10-
dc.identifier.scopus2-s2.0-85087785962-
dc.identifier.eissn1432-0894en_US
dc.description.validate202305 bckw-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLSGI-0080-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Hong Kong Polytechnic University Startup Granten_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS29137004-
dc.description.oaCategoryGreen (AAM)en_US
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