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dc.contributor.authorVan Schaeybroeck, Bert
dc.contributor.authorVannitsem, Stéphane
dc.coverage.spatialglobalen_US
dc.coverage.temporaldecadalen_US
dc.date2016-02-16
dc.date.accessioned2019-02-26T12:47:28Z
dc.date.available2019-02-26T12:47:28Z
dc.identifier.citationVan Schaeybroeck, Bert; Vannitsem, Stéphane (2016-02-16). Assessment of calibration assumptions under strong climate changes. , Geophysical Research Letters, Vol. 43, Issue 3, 1314, Wiley Online Library.en_US
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/7186
dc.descriptionClimate model calibration relies on different working hypotheses. The simplest bias correction or delta change methods assume the invariance of bias under climate change. Recent works have questioned this hypothesis and proposed linear bias changes with respect to the forcing. However, when the system experiences larger forcings, these schemes could fail. Calibration assumptions are tested within a simplified framework in the context of an intermediate complexity model for which the reference (or “reality”) differs from the model by a single parametric model error and climate change is emulated by largely different CO2 forcings. It appears that calibration does not add value since the variation of bias under climate change is nonmonotonous for almost all variables and large compared to the climate change and the bias, except for the global temperature and sea ice area. For precipitation, calibration provides added value both globally and regionally. The calibration methods used fail to correct climate variability.en_US
dc.languageengen_US
dc.publisherWiley Online Libraryen_US
dc.titleAssessment of calibration assumptions under strong climate changesen_US
dc.typeArticleen_US
dc.subject.frascatiEarth and related Environmental sciencesen_US
dc.audienceScientificen_US
dc.subject.freecalibration; climate projectionsen_US
dc.source.titleGeophysical Research Lettersen_US
dc.source.volume43en_US
dc.source.issue3en_US
dc.source.page1314en_US
Orfeo.peerreviewedYesen_US
dc.relation.belspo-projectPREDANTARen_US


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