Journal ArticleDOI
A Second-Order Accurate, Finite Volume–Based, Integrated Hydrologic Modeling (FIHM) Framework for Simulation of Surface and Subsurface Flow
TLDR
In this article, a physics-based, distributed, fully coupled, second-order accurate, upwind cell-centered, constrained unstructured mesh based finite-volume modeling framework (FIHM) is presented.Abstract:
Surface water, the vadose zone, and groundwater are linked components of a hydrologic conƟ nuum. In order to capture the interacƟ on between diff erent components of a hydrologic conƟ nuum and to use this understanding in water management situaƟ ons, an accurate numerical model is needed. The quality of model results depends on accurate representaƟ on of the physical processes and the data describing the area of interest, as well as performance of the numerical formulaƟ on implemented. Here we present a physics-based, distributed, fully coupled, second-order accurate, upwind cell-centered, constrained unstructured mesh based fi nite-volume modeling framework (FIHM) that simultaneously solves two-dimensional unsteady overland fl ow and three-dimensional variably saturated subsurface fl ow in heterogeneous, anisotropic domains. A mulƟ dimensional linear reconstrucƟ on of the hydraulic gradients (surface and subsurface) is used to achieve second-order accuracy. Accuracy and effi ciency in raster data and vector-boundary representaƟ ons are facilitated through the use of constrained Delaunay meshes in domain discreƟ zaƟ on. The experiments presented here (i) explore the infl uence of iniƟ al moisture condiƟ ons, soil properƟ es, anisotropy, and heterogeneity in determining the pressure head distribuƟ ons in the vadose and saturated zones, (ii) show the existence of localized “fl ux rotaƟ on” phenomenon due to heterogeneous anisotropy, leading to the creaƟ on of convergence–divergence zones, (iii) show the infl uence of verƟ cal drainage from unsaturated zone on the response of an unconfi ned aquifer to pumping, and (iv) show the eff ects of capillarity, saturaƟ on excess, infi ltraƟ on excess, and iniƟ al water table locaƟ on on determining the overland fl ow generaƟ on.read more
Citations
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Journal ArticleDOI
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
Simone Fatichi,Enrique R. Vivoni,Fred L. Ogden,Valeriy Y. Ivanov,Benjamin B. Mirus,David Gochis,Charles W. Downer,Matteo Camporese,J. H. Davison,Brian A. Ebel,Norm Jones,Jongho Kim,Jongho Kim,Giuseppe Mascaro,Richard G. Niswonger,Pedro Restrepo,Riccardo Rigon,Chaopeng Shen,Mauro Sulis,David G. Tarboton +19 more
TL;DR: The use of process-based hydrological models has a long history dating back to the 1960s as mentioned in this paper, and a more nuanced view is that these tools are necessary in many situations and, in a certain class of problems, they are the most appropriate type of hydrologogical model.
Journal ArticleDOI
Improving the representation of hydrologic processes in Earth System Models
Martyn P. Clark,Ying Fan,David M. Lawrence,Jennifer C. Adam,Diogo Bolster,David Gochis,Richard P. Hooper,Mukesh Kumar,L. Ruby Leung,D. Scott Mackay,Reed M. Maxwell,Chaopeng Shen,Sean Swenson,Xubin Zeng +13 more
TL;DR: In this paper, the authors present a review of the current representation of hydrologic processes in Earth System Models and identify the key opportunities for improvement, and suggest that the development of ESMs has not kept pace with modeling advances in hydrology.
Journal ArticleDOI
Multiphysics simulations: Challenges and opportunities
David E. Keyes,Lois Curfman McInnes,Carol S. Woodward,William Gropp,Eric Myra,Michael Pernice,John B. Bell,Jed Brown,Alain Clo,Jeffrey M. Connors,Emil M. Constantinescu,Donald Estep,Katherine J. Evans,Charbel Farhat,Ammar Hakim,Glenn E. Hammond,Glen A. Hansen,Judith Hill,Tobin Isaac,Xiangmin Jiao,Kirk E. Jordan,Dinesh K. Kaushik,Efthimios Kaxiras,Alice Koniges,Kihwan Lee,P. Aaron Lott,Qiming Lu,John H. Magerlein,Reed M. Maxwell,Michael McCourt,Miriam Mehl,Roger P. Pawlowski,Amanda Randles,Daniel R. Reynolds,Béatrice Rivière,Ulrich Rüde,Timothy D. Scheibe,John N. Shadid,Brendan Sheehan,Mark S. Shephard,Andrew R. Siegel,Barry Smith,Xian-Zhu Tang,Cian R. Wilson,Barbara Wohlmuth +44 more
TL;DR: This study considers multiphysics applications from algorithmic and architectural perspectives, where “algorithmic” includes both mathematical analysis and computational complexity, and “architectural’ includes both software and hardware environments.
Journal ArticleDOI
Surface-subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks
Reed M. Maxwell,Mario Putti,Steven B. Meyerhoff,Jens-Olaf Delfs,Ian M. Ferguson,Ian M. Ferguson,Valeriy Y. Ivanov,Jongho Kim,Olaf Kolditz,Olaf Kolditz,Stefan Kollet,Mukesh Kumar,S. R. Lopez,Jie Niu,Claudio Paniconi,Young-Jin Park,Mantha S. Phanikumar,Chaopeng Shen,Edward A. Sudicky,Mauro Sulis +19 more
TL;DR: An intercomparison study of seven coupled surface-subsurface models based on a series of benchmark problems shows 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.
Journal ArticleDOI
A high-resolution simulation of groundwater and surface water over most of the continental US with the integrated hydrologic model ParFlow v3
TL;DR: In this paper, 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) is presented.
References
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Journal ArticleDOI
A closed-form equation for predicting the hydraulic conductivity of unsaturated soils
van Genuchten,M. Th. +1 more
TL;DR: Van Genuchten et al. as mentioned in this paper proposed a closed-form analytical expression for predicting the hydraulic conductivity of unsaturated soils based on the Mualem theory, which can be used to predict the unsaturated hydraulic flow and mass transport in unsaturated zone.
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Triangle: Engineering a 2D Quality Mesh Generator and Delaunay Triangulator
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