% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Maxwell:203176,
author = {Maxwell, R. M. and Condon, L. E. and Kollet, Stefan},
title = {{A} high-resolution simulation of groundwater and surface
water over most of the continental {US} with the integrated
hydrologic model {P}ar{F}low v3},
journal = {Geoscientific model development},
volume = {8},
number = {3},
issn = {1991-9603},
address = {Katlenburg-Lindau},
publisher = {Copernicus},
reportid = {FZJ-2015-05181},
pages = {923 - 937},
year = {2015},
abstract = {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.},
cin = {IBG-3},
ddc = {910},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000352160200026},
doi = {10.5194/gmd-8-923-2015},
url = {https://juser.fz-juelich.de/record/203176},
}