000203400 001__ 203400
000203400 005__ 20210129220352.0
000203400 0247_ $$2doi$$a10.1016/j.advwatres.2015.06.003
000203400 0247_ $$2ISSN$$a0309-1708
000203400 0247_ $$2ISSN$$a1872-9657
000203400 0247_ $$2WOS$$aWOS:000360192200021
000203400 0247_ $$2altmetric$$aaltmetric:4168500
000203400 037__ $$aFZJ-2015-05343
000203400 041__ $$aEnglish
000203400 082__ $$a550
000203400 1001_ $$0P:(DE-HGF)0$$aRahman, M.$$b0$$eCorresponding author
000203400 245__ $$aThe subsurface–land surface–atmosphere connection under convective conditions
000203400 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2015
000203400 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1440405019_27016
000203400 3367_ $$2DataCite$$aOutput Types/Journal article
000203400 3367_ $$00$$2EndNote$$aJournal Article
000203400 3367_ $$2BibTeX$$aARTICLE
000203400 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000203400 3367_ $$2DRIVER$$aarticle
000203400 520__ $$aThe dynamics of the free groundwater table influence land surface soil moisture and energy balance components, and are therefore also linked to atmospheric processes. In this study, the sensitivity of the atmosphere to groundwater table dynamics induced heterogeneity in land surface processes is examined under convective conditions. A fully coupled subsurface–land surface–atmosphere model is applied over a 150 km × 150 km study area located in Western Germany and ensemble simulations are performed over two convective precipitation events considering two separate model configurations based on groundwater table dynamics. Ensembles are generated by varying the model atmospheric initial conditions following the prescribed ensemble generation method by the German Weather Service in order to account for the intrinsic, internal atmospheric variability. The results demonstrate that especially under strong convective conditions, groundwater table dynamics affect atmospheric boundary layer height, convective available potential energy, and precipitation via the coupling with land surface soil moisture and energy fluxes. Thus, this study suggests that systematic uncertainties may be introduced to atmospheric simulations if groundwater table dynamics are neglected in the model.
000203400 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000203400 588__ $$aDataset connected to CrossRef
000203400 7001_ $$0P:(DE-HGF)0$$aSulis, M.$$b1
000203400 7001_ $$0P:(DE-Juel1)151405$$aKollet, Stefan$$b2
000203400 773__ $$0PERI:(DE-600)2023320-6$$a10.1016/j.advwatres.2015.06.003$$gVol. 83, p. 240 - 249$$p240 - 249$$tAdvances in water resources$$v83$$x0309-1708$$y2015
000203400 8564_ $$uhttps://juser.fz-juelich.de/record/203400/files/1-s2.0-S0309170815001281-main.pdf$$yRestricted
000203400 8564_ $$uhttps://juser.fz-juelich.de/record/203400/files/1-s2.0-S0309170815001281-main.gif?subformat=icon$$xicon$$yRestricted
000203400 8564_ $$uhttps://juser.fz-juelich.de/record/203400/files/1-s2.0-S0309170815001281-main.jpg?subformat=icon-1440$$xicon-1440$$yRestricted
000203400 8564_ $$uhttps://juser.fz-juelich.de/record/203400/files/1-s2.0-S0309170815001281-main.jpg?subformat=icon-180$$xicon-180$$yRestricted
000203400 8564_ $$uhttps://juser.fz-juelich.de/record/203400/files/1-s2.0-S0309170815001281-main.jpg?subformat=icon-640$$xicon-640$$yRestricted
000203400 8564_ $$uhttps://juser.fz-juelich.de/record/203400/files/1-s2.0-S0309170815001281-main.pdf?subformat=pdfa$$xpdfa$$yRestricted
000203400 909CO $$ooai:juser.fz-juelich.de:203400$$pVDB:Earth_Environment$$pVDB
000203400 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bADV WATER RESOUR : 2013
000203400 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000203400 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000203400 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000203400 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000203400 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000203400 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000203400 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology
000203400 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000203400 9141_ $$y2015
000203400 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)151405$$aForschungszentrum Jülich GmbH$$b2$$kFZJ
000203400 9131_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0
000203400 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000203400 980__ $$ajournal
000203400 980__ $$aVDB
000203400 980__ $$aI:(DE-Juel1)IBG-3-20101118
000203400 980__ $$aUNRESTRICTED