000153955 001__ 153955
000153955 005__ 20220930130029.0
000153955 0247_ $$2doi$$a10.1002/2013WR013725
000153955 0247_ $$2ISSN$$a0148-0227
000153955 0247_ $$2ISSN$$a1944-7973
000153955 0247_ $$2ISSN$$a0043-1397
000153955 0247_ $$2wos$$aWOS:000333563900044
000153955 0247_ $$2Handle$$a2128/6758
000153955 037__ $$aFZJ-2014-03395
000153955 082__ $$a550
000153955 1001_ $$0P:(DE-HGF)0$$aMaxwell, Reed M.$$b0$$eCorresponding Author
000153955 245__ $$aSurface-subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks
000153955 260__ $$aWashington, DC$$bAGU$$c2014
000153955 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s153955
000153955 3367_ $$2DataCite$$aOutput Types/Journal article
000153955 3367_ $$00$$2EndNote$$aJournal Article
000153955 3367_ $$2BibTeX$$aARTICLE
000153955 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000153955 3367_ $$2DRIVER$$aarticle
000153955 520__ $$aThere are a growing number of large-scale, complex hydrologic models that are capable of simulating integrated surface and subsurface flow. Many are coupled to land-surface energy balance models, biogeochemical and ecological process models, and atmospheric models. Although they are being increasingly applied for hydrologic prediction and environmental understanding, very little formal verification and/or benchmarking of these models has been performed. Here we present the results of an intercomparison study of seven coupled surface-subsurface models based on a series of benchmark problems. All the models simultaneously solve adapted forms of the Richards and shallow water equations, based on fully 3-D or mixed (1-D vadose zone and 2-D groundwater) formulations for subsurface flow and 1-D (rill flow) or 2-D (sheet flow) conceptualizations for surface routing. A range of approaches is used for the solution of the coupled equations, including global implicit, sequential iterative, and asynchronous linking, and various strategies are used to enforce flux and pressure continuity at the surface-subsurface interface. The simulation results show good agreement for the simpler test cases, while the more complicated test cases bring out some of the differences in physical process representations and numerical solution approaches between the models. Benchmarks with more traditional runoff generating mechanisms, such as excess infiltration and saturation, demonstrate more agreement between models, while benchmarks with heterogeneity and complex water table dynamics highlight differences in model formulation. In general, all the models demonstrate the same qualitative behavior, thus building confidence in their use for hydrologic applications.
000153955 536__ $$0G:(DE-HGF)POF2-246$$a246 - Modelling and Monitoring Terrestrial Systems: Methods and Technologies (POF2-246)$$cPOF2-246$$fPOF II$$x0
000153955 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x1
000153955 588__ $$aDataset connected to CrossRef, juser.fz-juelich.de
000153955 7001_ $$0P:(DE-HGF)0$$aPutti, Mario$$b1
000153955 7001_ $$0P:(DE-HGF)0$$aMeyerhoff, Steven$$b2
000153955 7001_ $$0P:(DE-HGF)0$$aDelfs, Jens-Olaf$$b3
000153955 7001_ $$0P:(DE-HGF)0$$aFerguson, Ian M.$$b4
000153955 7001_ $$0P:(DE-HGF)0$$aIvanov, Valeriy$$b5
000153955 7001_ $$0P:(DE-HGF)0$$aKim, Jongho$$b6
000153955 7001_ $$0P:(DE-HGF)0$$aKolditz, Olaf$$b7
000153955 7001_ $$0P:(DE-Juel1)151405$$aKollet, Stefan$$b8$$ufzj
000153955 7001_ $$0P:(DE-HGF)0$$aKumar, Mukesh$$b9
000153955 7001_ $$0P:(DE-HGF)0$$aLopez, Sonya$$b10
000153955 7001_ $$0P:(DE-HGF)0$$aNiu, Jie$$b11
000153955 7001_ $$0P:(DE-HGF)0$$aPaniconi, Claudio$$b12
000153955 7001_ $$0P:(DE-HGF)0$$aPark, Young-Jin$$b13
000153955 7001_ $$0P:(DE-HGF)0$$aPhanikumar, Mantha S.$$b14
000153955 7001_ $$0P:(DE-HGF)0$$aShen, Chaopeng$$b15
000153955 7001_ $$0P:(DE-HGF)0$$aSudicky, Edward A.$$b16
000153955 7001_ $$0P:(DE-HGF)0$$aSulis, Mauro$$b17
000153955 773__ $$0PERI:(DE-600)2029553-4$$a10.1002/2013WR013725$$gVol. 50, no. 2, p. 1531 - 1549$$n2$$p1531 - 1549$$tWater resources research$$v50$$x0043-1397$$y2014
000153955 8564_ $$yPublishers version according to licensing conditions.$$zPublished final document.
000153955 8564_ $$uhttps://juser.fz-juelich.de/record/153955/files/FZJ-2014-03395.pdf$$yOpenAccess$$zPublished final document.
000153955 8564_ $$uhttps://juser.fz-juelich.de/record/153955/files/FZJ-2014-03395.jpg?subformat=icon-144$$xicon-144$$yOpenAccess
000153955 8564_ $$uhttps://juser.fz-juelich.de/record/153955/files/FZJ-2014-03395.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000153955 8564_ $$uhttps://juser.fz-juelich.de/record/153955/files/FZJ-2014-03395.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
000153955 8767_ $$92014-04-11$$d2014-05-13$$eHybrid-OA$$jZahlung erfolgt$$zUSD 300,-
000153955 909CO $$ooai:juser.fz-juelich.de:153955$$popenCost$$pVDB$$pVDB:Earth_Environment$$pdriver$$pOpenAPC$$popen_access$$popenaire$$pdnbdelivery
000153955 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)151405$$aForschungszentrum Jülich GmbH$$b8$$kFZJ
000153955 9132_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0
000153955 9131_ $$0G:(DE-HGF)POF2-246$$1G:(DE-HGF)POF2-240$$2G:(DE-HGF)POF2-200$$3G:(DE-HGF)POF2$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vModelling and Monitoring Terrestrial Systems: Methods and Technologies$$x0
000153955 9131_ $$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$$x1
000153955 9141_ $$y2014
000153955 915__ $$0LIC:(DE-HGF)CCBYNC3$$2HGFVOC$$aCreative Commons Attribution-NonCommercial CC BY-NC 3.0
000153955 915__ $$0StatID:(DE-HGF)0010$$2StatID$$aJCR/ISI refereed
000153955 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer review
000153955 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR
000153955 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000153955 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000153955 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000153955 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000153955 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000153955 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000153955 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000153955 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000153955 915__ $$0StatID:(DE-HGF)1020$$2StatID$$aDBCoverage$$bCurrent Contents - Social and Behavioral Sciences
000153955 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences
000153955 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences
000153955 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000153955 9801_ $$aFullTexts
000153955 980__ $$ajournal
000153955 980__ $$aUNRESTRICTED
000153955 980__ $$aFullTexts
000153955 980__ $$aI:(DE-Juel1)IBG-3-20101118
000153955 980__ $$aVDB
000153955 980__ $$aAPC