001     203176
005     20210129220314.0
024 7 _ |2 doi
|a 10.5194/gmd-8-923-2015
024 7 _ |2 ISSN
|a 1991-959X
024 7 _ |2 ISSN
|a 1991-9603
024 7 _ |2 Handle
|a 2128/9027
024 7 _ |2 WOS
|a WOS:000352160200026
037 _ _ |a FZJ-2015-05181
082 _ _ |a 910
100 1 _ |0 P:(DE-HGF)0
|a Maxwell, R. M.
|b 0
|e Corresponding author
245 _ _ |a A high-resolution simulation of groundwater and surface water over most of the continental US with the integrated hydrologic model ParFlow v3
260 _ _ |a Katlenburg-Lindau
|b Copernicus
|c 2015
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1439192939_17755
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
520 _ _ |a Interactions between surface and groundwater systems are well-established theoretically and observationally. While numerical models that solve both surface and subsurface flow equations in a single framework (matrix) are increasingly being applied, computational limitations have restricted their use to local and regional studies. Regional or watershed-scale simulations have been effective tools for understanding hydrologic processes; however, there are still many questions, such as the adaptation of water resources to anthropogenic stressors and climate variability, that can only be answered across large spatial extents at high resolution. In response to this grand challenge in hydrology, we present the results of a parallel, integrated hydrologic model simulating surface and subsurface flow at high spatial resolution (1 km) over much of continental North America (~ 6.3 M km2). These simulations provide integrated predictions of hydrologic states and fluxes, namely, water table depth and streamflow, at very large scale and high resolution. The physics-based modeling approach used here requires limited parameterizations and relies only on more fundamental inputs such as topography, hydrogeologic properties and climate forcing. Results are compared to observations and provide mechanistic insight into hydrologic process interaction. This study demonstrates both the feasibility of continental-scale integrated models and their utility for improving our understanding of large-scale hydrologic systems; the combination of high resolution and large spatial extent facilitates analysis of scaling relationships using model outputs.
536 _ _ |0 G:(DE-HGF)POF3-255
|a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255)
|c POF3-255
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |0 P:(DE-HGF)0
|a Condon, L. E.
|b 1
700 1 _ |0 P:(DE-Juel1)151405
|a Kollet, Stefan
|b 2
|u fzj
773 _ _ |0 PERI:(DE-600)2456725-5
|a 10.5194/gmd-8-923-2015
|g Vol. 8, no. 3, p. 923 - 937
|n 3
|p 923 - 937
|t Geoscientific model development
|v 8
|x 1991-9603
|y 2015
856 4 _ |u https://juser.fz-juelich.de/record/203176/files/gmd-8-923-2015.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/203176/files/gmd-8-923-2015.gif?subformat=icon
|x icon
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/203176/files/gmd-8-923-2015.jpg?subformat=icon-1440
|x icon-1440
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/203176/files/gmd-8-923-2015.jpg?subformat=icon-180
|x icon-180
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/203176/files/gmd-8-923-2015.jpg?subformat=icon-640
|x icon-640
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/203176/files/gmd-8-923-2015.pdf?subformat=pdfa
|x pdfa
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:203176
|p openaire
|p open_access
|p driver
|p VDB:Earth_Environment
|p VDB
|p dnbdelivery
910 1 _ |0 I:(DE-588b)5008462-8
|6 P:(DE-Juel1)151405
|a Forschungszentrum Jülich GmbH
|b 2
|k FZJ
913 1 _ |0 G:(DE-HGF)POF3-255
|1 G:(DE-HGF)POF3-250
|2 G:(DE-HGF)POF3-200
|a DE-HGF
|l Terrestrische Umwelt
|v Terrestrial Systems: From Observation to Prediction
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Erde und Umwelt
914 1 _ |y 2015
915 _ _ |0 StatID:(DE-HGF)0500
|2 StatID
|a DBCoverage
|b DOAJ
915 _ _ |0 StatID:(DE-HGF)0100
|2 StatID
|a JCR
|b GEOSCI MODEL DEV : 2013
915 _ _ |0 StatID:(DE-HGF)0199
|2 StatID
|a DBCoverage
|b Thomson Reuters Master Journal List
915 _ _ |0 StatID:(DE-HGF)0111
|2 StatID
|a WoS
|b Science Citation Index Expanded
915 _ _ |0 StatID:(DE-HGF)0150
|2 StatID
|a DBCoverage
|b Web of Science Core Collection
915 _ _ |0 StatID:(DE-HGF)1150
|2 StatID
|a DBCoverage
|b Current Contents - Physical, Chemical and Earth Sciences
915 _ _ |0 StatID:(DE-HGF)9905
|2 StatID
|a IF >= 5
|b GEOSCI MODEL DEV : 2013
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
915 _ _ |0 LIC:(DE-HGF)CCBY3
|2 HGFVOC
|a Creative Commons Attribution CC BY 3.0
920 1 _ |0 I:(DE-Juel1)IBG-3-20101118
|k IBG-3
|l Agrosphäre
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IBG-3-20101118
980 _ _ |a FullTexts
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21