How evaluation of hydrological models influences results of climate impact assessment—an editorial

dc.bibliographicCitation.firstPage1121eng
dc.bibliographicCitation.issue3eng
dc.bibliographicCitation.journalTitleClimatic changeeng
dc.bibliographicCitation.lastPage1141eng
dc.bibliographicCitation.volume163eng
dc.contributor.authorKrysanova, Valentina
dc.contributor.authorHattermann, Fred F.
dc.contributor.authorKundzewicz, Zbigniew W.
dc.date.accessioned2021-09-21T09:11:33Z
dc.date.available2021-09-21T09:11:33Z
dc.date.issued2020
dc.description.abstractThis paper introduces the Special Issue (SI) “How evaluation of hydrological models influences results of climate impact assessment.” The main objectives were as follows: (a) to test a comprehensive model calibration/validation procedure, consisting of five steps, for regional-scale hydrological models; (b) to evaluate performance of global-scale hydrological models; and (c) to reveal whether the calibration/validation methods and the model evaluation results influence climate impacts in terms of the magnitude of the change signal and the uncertainty range. Here, we shortly describe the river basins and large regions used as case studies; the hydrological models, data, and climate scenarios used in the studies; and the applied approaches for model evaluation and for analysis of projections for the future. After that, we summarize the main findings. The following general conclusions could be drawn. After successful comprehensive calibration and validation, the regional-scale models are more robust and their projections for the future differ from those of the model versions after the conventional calibration and validation. Therefore, climate impacts based on the former models are more trustworthy than those simulated by the latter models. Regarding the global-scale models, using only models with satisfactory or good performance on historical data and weighting them based on model evaluation results is a more reliable approach for impact assessment compared to the ensemble mean approach that is commonly used. The former method provides impact results with higher credibility and reduced spreads in comparison to the latter approach. The studies for this SI were performed in the framework of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP). © 2020, The Author(s).eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/6872
dc.identifier.urihttps://doi.org/10.34657/5919
dc.language.isoengeng
dc.publisherDordrecht [u.a.] : Springer Science + Business Media B.Veng
dc.relation.doihttps://doi.org/10.1007/s10584-020-02927-8
dc.relation.essn1573-1480
dc.relation.issn0165-0009
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject.ddc550eng
dc.subject.othercalibration/validation procedureeng
dc.subject.otherglobal-scale hydrological modeleng
dc.subject.otherhydrological modeleng
dc.subject.otherInter-Sectoral Impact Model Intercomparison Project (ISIMIP)eng
dc.titleHow evaluation of hydrological models influences results of climate impact assessment—an editorialeng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorPIKeng
wgl.subjectGeowissenschafteneng
wgl.typeZeitschriftenartikeleng
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