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dc.contributor.authorTry, Sophalen
dc.contributor.authorTanaka, Shigenobuen
dc.contributor.authorTanaka, Kenjien
dc.contributor.authorSayama, Takahiroen
dc.contributor.authorKhujanazarov, Temuren
dc.contributor.authorOeurng, Chanthaen
dc.contributor.alternative田中, 茂信ja
dc.contributor.alternative田中, 賢治ja
dc.contributor.alternative佐山, 敬洋ja
dc.date.accessioned2022-08-25T09:27:13Z-
dc.date.available2022-08-25T09:27:13Z-
dc.date.issued2022-04-
dc.identifier.urihttp://hdl.handle.net/2433/275985-
dc.description.abstractStudy region: Mekong River Basin. Study focus: The Coupled Model Intercomparison Project Phase 6 (CMIP6) recently announced an updated version of general circulation models (GCMs). This study investigated the performance of improved CMIP6 over those of CMIP5 with respect to precipitation and flood representations in the Mekong River Basin (MRB). The correlation and error comparison from the referenced precipitation exhibited a significant improvement in the peak value representation. Hence, the impacts of climate change on future floods in the MRB were simulated and assessed using a distributed rainfall–runoff–inundation model. New hydrological insights for the region: The results indicated that precipitation from CMIP6 had a higher correlation and a lower error coefficient than CMIP5. Similarly, the simulation of GCM ensembles of monthly discharge from CMIP6 exhibited a comparable average value to the observations, whereas CMIP5 underestimated the discharge simulations. The performance of the mean annual peak discharge improved from 37, 220 m3/s (CMIP5) to 45, 423 m3/s (CMIP6) compared to 43, 521 m3/s (observation). The projections of future floods in the MRB from CMIP6 exhibited an increase of annual peak discharge at Chiang Saen, Vientiane, Pakse, and Kratie stations by 10–15%, 20–22%, and 24–29% for the SSP2-4.5 scenario, and 10–18%, 24–29%, and 41–54% for the SSP5-8.5 scenario in the near future (2026–2050), mid-future (2051–2075), and far future (2076–2100), respectively. The statistical K-S test showed significant changes in all stations and projected periods with a p-value < 0.01.en
dc.language.isoeng-
dc.publisherElsevier BVen
dc.rights© 2022 The Author(s). Published by Elsevier B.V.en
dc.rightsThis is an open access article under the Creative Commons Attribution 4.0 International license.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subjectCMIP5en
dc.subjectCMIP6en
dc.subjectGCMen
dc.subjectFloodingen
dc.subjectMekong River Basinen
dc.titleComparison of CMIP5 and CMIP6 GCM performance for flood projections in the Mekong River Basinen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleJournal of Hydrology: Regional Studiesen
dc.identifier.volume40-
dc.relation.doi10.1016/j.ejrh.2022.101035-
dc.textversionpublisher-
dc.identifier.artnum101035-
dcterms.accessRightsopen access-
datacite.awardNumber21F21071-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21F21071/-
dc.identifier.eissn2214-5818-
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitleメコン川下流域における洪水氾濫と農業被害の統合型予測システムja
出現コレクション:学術雑誌掲載論文等

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