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000825396 005__ 20210129225313.0
000825396 037__ $$aFZJ-2016-07859
000825396 1001_ $$0P:(DE-Juel1)158027$$aKnist, Sebastian$$b0$$ufzj
000825396 1112_ $$aInternational Conference on Regional Climate (ICRC) CORDEX 2016$$cStockholm$$d2016-05-16 - 2016-05-20$$wSweden
000825396 245__ $$aLand atmosphere coupling in EURO-CORDEX evaluation experiments
000825396 260__ $$c2016
000825396 3367_ $$033$$2EndNote$$aConference Paper
000825396 3367_ $$2BibTeX$$aINPROCEEDINGS
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000825396 520__ $$aInteractions between the land surface and the atmosphere play a fundamental role in the weather and climate system through their influence on the energy and water cycles. Here we present results of summertime land-atmosphere coupling strength in a subset of the ERA-Interim driven EURO-CORDEX model ensemble (1989-2008) including an evaluation of the coupling related variables soil moisture and surface energy fluxes of latent heat (LE) and sensible heat (H). Most of the regional climate models (RCMs) reproduce soil moisture and surface fluxes for the different European climate zones reasonably well. However, for some regions and models differences are identified, also compared to FLUXNET surface flux measurements used as observational reference. To quantify the coupling strength the H-LE-correlation method has been confirmed as useful and valid for the comparison of different RCMs. An important advantage of the method is that it can be applied to standard RCM output variables (H, LE) as well as to observations, although long time series of high quality flux measurement data are needed, which are available only for a few locations across Europe. For the full 20-year period of summer seasons the EURO-CORDEX simulations agree in the large-scale patterns, with strong coupling in Southern Europe and weak coupling for Northern Europe, also in agreement with the FLUXNET observations. For large parts of Central Europe, however, the model ensemble diverges between strong and weak coupling strength. Compared to the FLUXNET measurements more models tend to overestimate than underestimate the coupling strength. Higher model resolution leads to more small-scale heterogeneity but not necessarily to a change in the large-scale patterns. Diversity in the ensemble can be both explained by the different characteristics of the individual land surface models (LSMs) as well as different climate conditions in the models.
000825396 536__ $$0G:(DE-HGF)POF3-242$$a242 - Land surface processes in the climate system (POF3-242)$$cPOF3-242$$fPOF III$$x0
000825396 536__ $$0G:(DE-HGF)POF3-511$$a511 - Computational Science and Mathematical Methods (POF3-511)$$cPOF3-511$$fPOF III$$x1
000825396 7001_ $$0P:(DE-Juel1)156253$$aGörgen, Klaus$$b1$$ufzj
000825396 909CO $$ooai:juser.fz-juelich.de:825396$$pVDB
000825396 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)158027$$aForschungszentrum Jülich$$b0$$kFZJ
000825396 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)156253$$aForschungszentrum Jülich$$b1$$kFZJ
000825396 9131_ $$0G:(DE-HGF)POF3-242$$1G:(DE-HGF)POF3-240$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lAtmosphäre und Klima$$vLand surface processes in the climate system$$x0
000825396 9131_ $$0G:(DE-HGF)POF3-511$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data$$vComputational Science and Mathematical Methods$$x1
000825396 9141_ $$y2016
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000825396 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000825396 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x1
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000825396 981__ $$aI:(DE-Juel1)JSC-20090406