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dc.contributor.authorKnist, Sebastian
dc.contributor.authorGeorgen, Klaus
dc.contributor.authorBuonomo, Erasmo
dc.contributor.authorChristensen, Ole Bossing
dc.contributor.authorColette, Augustin
dc.contributor.authorCardoso, Rita Margarida
dc.contributor.authorFealy, Rowan
dc.contributor.authorFernández Fernández, Jesús (matemático) 
dc.contributor.authorGarcía Díez, Markel 
dc.contributor.authorJacob, Daniela
dc.contributor.authorKartsios, Stergios
dc.contributor.authorKatragkou, Eleni
dc.contributor.authorKeuler, Klaus
dc.contributor.authorMayer, Stephanie
dc.contributor.authorVan Meijgaard, Erik
dc.contributor.authorNikulin, Grigory
dc.contributor.authorSoares, Pedro M.M.
dc.contributor.authorSobolowski, Stefan
dc.contributor.authorSzepszo, Gabriella
dc.contributor.authorTeichmann, Claas
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2018-04-19T08:59:22Z
dc.date.available2018-04-19T08:59:22Z
dc.date.issued2017-01-16
dc.identifier.issn2169-897X
dc.identifier.issn2169-8996
dc.identifier.issn2156-2202
dc.identifier.otherCGL2010-22158-C02es_ES
dc.identifier.urihttp://hdl.handle.net/10902/13528
dc.description.abstractInteractions between the land surface and the atmosphere play a fundamental role in the weather and climate system. Here we present a comparison of summertime land?atmosphere coupling strength found in a subset of the ERA?Interim?driven European domain Coordinated Regional Climate Downscaling Experiment (EURO?CORDEX) model ensemble (1989?2008). Most of the regional climate models (RCMs) reproduce the overall soil moisture interannual variability, spatial patterns, and annual cycles of surface exchange fluxes for the different European climate zones suggested by the observational Global Land Evaporation Amsterdam Model (GLEAM) and FLUXNET data sets. However, some RCMs differ substantially from FLUXNET observations for some regions. The coupling strength is quantified by the correlation between the surface sensible and the latent heat flux, and by the correlation between the latent heat flux and 2?m temperature. The first correlation is compared to its estimate from the few available long?term European high?quality FLUXNET observations, and the latter to results from gridded GLEAM data. The RCM simulations agree with both observational datasets in the large?scale pattern characterized by strong coupling in southern Europe and weak coupling in northern Europe. However, in the transition zone from strong to weak coupling covering large parts of central Europe many of the RCMs tend to overestimate the coupling strength in comparison to both FLUXNET and GLEAM. The RCM ensemble spread is caused primarily by the different land surface models applied, and by the model?specific weather conditions resulting from different atmospheric parameterizations.es_ES
dc.description.sponsorshipThe authors like to thank the coordination and the participating institutes of the EURO‐CORDEX initiative for making this study possible. The contribution from Centre de Recherche Public‐Gabriel Lippmann (labeled here as “MIUB”) (now Luxembourg Institute of Science and Technology, LIST) was funded by the Luxembourg National Research Fund (FNR) through grant FNR C09/SR/16 (CLIMPACT). The John von Neumann Institute for Computing and the Forschungszentrum Jülich provided the required compute time for the project JJSC15. Work is furthermore sponsored through a research and development cooperation on hydrometeorology between the Federal Institute of Hydrology, Koblenz, Germany, and the Meteorological Institute, University of Bonn, Bonn, Germany. The KNMI‐RACMO simulation was supported by the Dutch Ministry of Infrastructure and the Environment. The simulations of the Universidad de Cantabria were supported by the CORWES project (CGL2010‐22158‐C02), funded by the Spanish R&D Programme and by the FP7 grant 308291 (EUPORIAS). We acknowledge Santander Supercomputacion support group at the University of Cantabria, who provided access to the Altamira Supercomputer at the Institute of Physics of Cantabria (IFCA‐CSIC), member of the Spanish Supercomputing Network. Rowan Fealy acknowledges the financial support provided by the Irish Environmental Protection Agency and the use of Maynooth University's high‐performance computer and the Irish Centre for High End Computing (ICHEC) Stokes facility. The work done by Rita M. Cardoso and Pedro M.M. Soares was financed the Portuguese Science Foundation (FCT) under Project SOLAR‐PTDC/GEOMET/7078/2014. The work of University of Hohenheim as part of the Project RU 1695 was funded by German Science Foundation (DFG). WRF‐UHOH simulations were carried out at the supercomputing center HLRS in Stuttgart (Germany). The CLMcom‐CCLM simulation was supported by the German Federal Ministry of Education and Research (BMBF) and the German Climate Computing Centre (DKRZ). AUTH‐DMC acknowledges the technical support of AUTH‐Scientific Computing Center, the HellasGrid/EGI infrastructure, and the financial support of AUTH‐Research Committee (Pr.Nr. 91376 and 87783). This work used eddy covariance data acquired by the FLUXNET community. We acknowledge the financial support to the eddy covariance data harmonization (www.fluxdata.org). The ERA‐Interim data were accessed from http://apps.ecmwf.int/datasets/. The GLEAM data were accessed from www.gleam.eu/#downloads. The analysis results and the underlying RCM data base are available upon request (sknist@uni‐bonn.de). The data are archived at the Jülich Supercomputing Centre, Research Centre Jülich, Jülich, Germany. We thank the anonymous reviewers for their detailed and constructive comments.es_ES
dc.format.extent25 p.es_ES
dc.language.isoenges_ES
dc.publisherJohn Wiley & Sonses_ES
dc.rights©American Geophysical Union. Knist, S., et al. (2017), Land-atmosphere coupling in EURO-CORDEX evaluation experiments, J. Geophys. Res. Atmos., 122, 79-103, doi:10.1002/2016JD025476.es_ES
dc.sourceJournal of Geophysical Research. Atmospheres Volume 122, Issue 1 16 January 2017 Pages 79-103es_ES
dc.titleLand-atmosphere coupling in EURO-CORDEX evaluation experimentses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/308291/EU/EUropean Provision Of Regional Impact Assessment on a Seasonal-to-decadal timescale/EUPORIAS/es_ES
dc.identifier.DOI10.1002/2016JD025476
dc.type.versionpublishedVersiones_ES


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