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dc.contributor.authorSangelantoni, L.
dc.contributor.authorSobolowski, Stefan Pieter
dc.contributor.authorLorenz, Torge
dc.contributor.authorHodnebrog, Øivind
dc.contributor.authorCardoso, R.M.
dc.contributor.authorSoares, P.M.M.
dc.contributor.authorFerretti, R.
dc.contributor.authorLavín-Gullón, A.
dc.contributor.authorFernandez, J.
dc.contributor.authorGoergen, K.
dc.contributor.authorMilovac, J.
dc.contributor.authorKatragkou, E.
dc.contributor.authorKartsios, S.
dc.contributor.authorCoppola, E.
dc.contributor.authorPichelli, E.
dc.contributor.authorAdinolfi, M.
dc.contributor.authorMercogliano, P.
dc.contributor.authorBerthou, S.
dc.contributor.authorde Vries, Vries
dc.contributor.authorDobler, Andreas
dc.contributor.authorBelušić, D.
dc.contributor.authorFeldmann, H.
dc.contributor.authorTölle, M.H.
dc.contributor.authorBastin, S.
dc.date.accessioned2024-05-24T10:29:35Z
dc.date.available2024-05-24T10:29:35Z
dc.date.created2023-05-04T10:41:09Z
dc.date.issued2023
dc.identifier.citationClimate Dynamics. 2023, .en_US
dc.identifier.issn0930-7575
dc.identifier.urihttps://hdl.handle.net/11250/3131328
dc.description.abstractHeatwaves (HWs) are high-impact phenomena stressing both societies and ecosystems. Their intensity and frequency are expected to increase in a warmer climate over many regions of the world. While these impacts can be wide-ranging, they are potentially influenced by local to regional features such as topography, land cover, and urbanization. Here, we leverage recent advances in the very high-resolution modelling required to elucidate the impacts of heatwaves at these fine scales. Further, we aim to understand how the new generation of km-scale regional climate models (RCMs) modulates the representation of heatwaves over a well-known climate change hot spot. We analyze an ensemble of 15 convection-permitting regional climate model (CPRCM, ~ 2–4 km grid spacing) simulations and their driving, convection-parameterized regional climate model (RCM, ~ 12–15 km grid spacing) simulations from the CORDEX Flagship Pilot Study on Convection. The focus is on the evaluation experiments (2000–2009) and three subdomains with a range of climatic characteristics. During HWs, and generally in the summer season, CPRCMs exhibit warmer and drier conditions than their driving RCMs. Higher maximum temperatures arise due to an altered heat flux partitioning, with daily peaks up to ~ 150 W/m2 larger latent heat in RCMs compared to the CPRCMs. This is driven by a 5–25% lower soil moisture content in the CPRCMs, which is in turn related to longer dry spell length (up to double). It is challenging to ascertain whether these differences represent an improvement. However, a point-scale distribution-based maximum temperature evaluation, suggests that this CPRCMs warmer/drier tendency is likely more realistic compared to the RCMs, with ~ 70% of reference sites indicating an added value compared to the driving RCMs, increasing to 95% when only the distribution right tail is considered. Conversely, a CPRCMs slight detrimental effect is found according to the upscaled grid-to-grid approach over flat areas. Certainly, CPRCMs enhance dry conditions, with knock-on implications for summer season temperature overestimation. Whether this improved physical representation of HWs also has implications for future changes is under investigation.en_US
dc.description.abstractInvestigating the representation of heatwaves from an ensemble of km-scale regional climate simulations within CORDEX-FPS convectionen_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleInvestigating the representation of heatwaves from an ensemble of km-scale regional climate simulations within CORDEX-FPS convectionen_US
dc.title.alternativeInvestigating the representation of heatwaves from an ensemble of km-scale regional climate simulations within CORDEX-FPS convectionen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.rights.holder© 2023 by the authorsen_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1007/s00382-023-06769-9
dc.identifier.cristin2145372
dc.source.journalClimate Dynamicsen_US
dc.source.pagenumber0en_US
dc.relation.projectNorges forskningsråd: 275589en_US
dc.relation.projectSigma2: NN9188Ken_US
dc.relation.projectEC/H2020/776613en_US
dc.relation.projectSigma2: NN9280Ken_US
dc.relation.projectSigma2: NS9001Ken_US
dc.relation.projectMeteorologisk institutt: 182010en_US


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