001022229 001__ 1022229
001022229 005__ 20240226075436.0
001022229 037__ $$aFZJ-2024-01350
001022229 041__ $$aEnglish
001022229 1001_ $$0P:(DE-Juel1)194987$$aPoshyvailo-Strube, Liubov$$b0$$eCorresponding author$$ufzj
001022229 1112_ $$a2nd TERENO-OZCAR Conference$$cBonn$$d2023-09-25 - 2023-09-28$$wGermany
001022229 245__ $$aGroundwater in terrestrial systems modelling: a new climatology of extreme heat events in Europe
001022229 260__ $$c2023
001022229 3367_ $$033$$2EndNote$$aConference Paper
001022229 3367_ $$2DataCite$$aOther
001022229 3367_ $$2BibTeX$$aINPROCEEDINGS
001022229 3367_ $$2DRIVER$$aconferenceObject
001022229 3367_ $$2ORCID$$aLECTURE_SPEECH
001022229 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1706774908_9640$$xOther
001022229 520__ $$aThe representation of groundwater processes is simplified in most regional climate models (RCMs), potentially leading to biases in simulated heat waves. We introduce aunique dataset from the regional Terrestrial Systems Modeling Platform (TSMP) forced by the Max Planck Institute Earth System Model with Low Resolution (MPI-ESM-LR)historical boundary conditions in the context of dynamical downscaling of global climate models (GCMs) for climate change studies. TSMP explicitly represents 3Dsubsurface and groundwater hydrodynamics together with overland flow, closing the water and energy cycle from the bedrock to the top of the atmosphere. We perform ananalysis of summer heat events (i.e., a series of consecutive days with a near-surface temperature exceeding the 90th percentile) for the historical time period 1976-2005relative to the reference period 1961-1990 in a TSMP climate change scenario control run. For comparison, the analysis is repeated for an ensemble of GCM-RCMsimulations with simplified groundwater dynamics from the Coordinated Regional Climate Downscaling Experiment for European domain (EURO-CORDEX).Our results show that TSMP simulates the number of heat events consistently with the CORDEX ensemble, although there are systematic differences. Compared to theCORDEX ensemble, TSMP simulates lower mean and interannual variability in the frequency of hot days (i.e., days with a near-surface temperature exceeding the 90thpercentile) on average over Europe. The decadal change in the number of hot days is also lower in TSMP than on average in the CORDEX ensemble. TSMP systematicallysimulates fewer heat waves (i.e., heat events lasting 6 days or more) compared to the CORDEX ensemble, moreover, they are less intense. We find that Southern Europe isparticularly sensitive to groundwater coupling, while Scandinavia is the least sensitive. Therefore, an explicit representation of groundwater may be a key for bias reduction insimulated duration and intensity of heat waves, particularly in Southern Europe. The results emphasise the importance of groundwater coupling in long-term regionalclimate simulations and potential implications for climate change projections. This work is currently under review for the ESD journal.
001022229 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x0
001022229 536__ $$0G:(DE-HGF)POF4-2A2$$a2A2 - HI-CAM (CARF - CCA) (POF4-2A2)$$cPOF4-2A2$$fPOF IV$$x1
001022229 536__ $$0G:(BMBF)01LP1903G$$aClimXtreme Verbundprojekt Modul C Impacts - Teilprojekt 7: IHAX - Einfluss der anthropogene Wassernutzung auf Extremereignisse in regionalen Klimasimulationen (01LP1903G)$$c01LP1903G$$x2
001022229 7001_ $$0P:(DE-Juel1)178981$$aWagner, Niklas$$b1
001022229 7001_ $$0P:(DE-Juel1)156253$$aGörgen, Klaus$$b2$$ufzj
001022229 7001_ $$0P:(DE-Juel1)172902$$aFurusho, Carina$$b3
001022229 7001_ $$0P:(DE-Juel1)178689$$aHartick, Carl$$b4$$ufzj
001022229 7001_ $$0P:(DE-Juel1)151405$$aKollet, Stefan$$b5$$ufzj
001022229 8564_ $$uhttps://www.tereno.net/joomla4/images/Events/TERENO-OZCAR%202023/TERENO_Programmheft_A4_2023_V14_Webversion.pdf
001022229 909CO $$ooai:juser.fz-juelich.de:1022229$$pVDB
001022229 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)194987$$aForschungszentrum Jülich$$b0$$kFZJ
001022229 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)178981$$aForschungszentrum Jülich$$b1$$kFZJ
001022229 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)156253$$aForschungszentrum Jülich$$b2$$kFZJ
001022229 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)178689$$aForschungszentrum Jülich$$b4$$kFZJ
001022229 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)151405$$aForschungszentrum Jülich$$b5$$kFZJ
001022229 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2173$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
001022229 9131_ $$0G:(DE-HGF)POF4-2A2$$1G:(DE-HGF)POF4-2A0$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lCOOPERATION ACROSS RESEARCH FIELDS (CARFs)$$vHI-CAM (CARF - CCA)$$x1
001022229 9141_ $$y2023
001022229 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
001022229 980__ $$aconf
001022229 980__ $$aVDB
001022229 980__ $$aI:(DE-Juel1)IBG-3-20101118
001022229 980__ $$aUNRESTRICTED