Simulator for Hydrologic Unstructured Domains (SHUD v1.0): numerical modeling of watershed hydrology with the finite volume method

Shu, Lele; Ullrich, Paul A.; Duffy, Christopher J.

doi:10.5194/gmd-13-2743-2020

Simulator for Hydrologic Unstructured Domains (SHUD v1.0): numerical modeling of watershed hydrology with the finite volume method

Journal Article · Thu Jun 18 00:00:00 EDT 2020 · Geoscientific Model Development (Online)

DOI:https://doi.org/10.5194/gmd-13-2743-2020· OSTI ID:1633828

; Ullrich, Paul A.;

Abstract. Hydrologic modeling is an essential strategy for understanding and predicting natural flows, particularly where observations are lacking in either space or time or where complex terrain leads to a disconnect in the characteristic time and space scales of overland and groundwater flow. However, significant difficulties remain for the development of efficient and extensible modeling systems that operate robustly across complex regions. This paper introduces the Simulator for Hydrologic Unstructured Domains (SHUD), an integrated, multiprocess, multiscale, flexible-time-step model, in which hydrologic processes are fully coupled using the finite volume method. SHUD integrates overland flow, snow accumulation/melt, evapotranspiration, subsurface flow, groundwater flow, and river routing, thus allowing physical processes in general watersheds to be realistically captured. SHUD incorporates one-dimensional unsaturated flow, two-dimensional groundwater flow, and a fully connected river channel network with hillslopes supporting overland flow and baseflow. The paper introduces the design of SHUD, from the conceptual and mathematical description of hydrologic processes in a watershed to the model's computational structures. To demonstrate and validate the model performance, we employ three hydrologic experiments: the V-catchment experiment, Vauclin's experiment, and a model study of the Cache Creek Watershed in northern California. Ongoing applications of the SHUD model include hydrologic analyses of hillslope to regional scales (1 m2 to 106 km2), water resource and stormwater management, and interdisciplinary research for questions in limnology, agriculture, geochemistry, geomorphology, water quality, ecology, climate and land-use change. The strength of SHUD is its flexibility as a scientific and resource evaluation tool where modeling and simulation are required.

View Journal Article

Research Organization:: Univ. of California, Davis, CA (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC)

Grant/Contract Number:: SC0016605

OSTI ID:: 1633828

Alternate ID(s):: OSTI ID: 1803078

Journal Information:: Geoscientific Model Development (Online), Journal Name: Geoscientific Model Development (Online) Journal Issue: 6 Vol. 13; ISSN 1991-9603

Publisher:: Copernicus Publications, EGUCopyright Statement

Country of Publication:: Germany

Language:: English

References (48)

Parameter estimation of a physically based land surface hydrologic model using the ensemble Kalman filter: A synthetic experiment: PARAMETER ESTIMATION USING ENKF Shi, Yuning; Davis, Kenneth J.; Zhang, Fuqing Water Resources Research, Vol. 50, Issue 1 https://doi.org/10.1002/2013WR014070	journal	January 2014
Understanding watershed hydrogeochemistry: 1. Development of RT-Flux-PIHM: DEVELOPMENT OF RT-FLUX-PIHM Bao, Chen; Li, Li; Shi, Yuning Water Resources Research, Vol. 53, Issue 3 https://doi.org/10.1002/2016WR018934	journal	March 2017
Rainfall-Runoff Modelling: The Primer Beven, Keith https://doi.org/10.1002/9781119951001	book	January 2012
Simulating high-resolution soil moisture patterns in the Shale Hills watershed using a land surface hydrologic model: Simulating High-Resolution Soil Moisture Patterns Shi, Yuning; Baldwin, Douglas C.; Davis, Kenneth J. Hydrological Processes, Vol. 29, Issue 21 https://doi.org/10.1002/hyp.10593	journal	August 2015
On the effects of triangulated terrain resolution on distributed hydrologic model response Vivoni, Enrique R.; Ivanov, Valeriy Y.; Bras, Rafael L. Hydrological Processes, Vol. 19, Issue 11 https://doi.org/10.1002/hyp.5671	journal	January 2005
Optimized partitioning of unstructured finite element meshes Vanderstraeten, Denis; Keunings, Roland International Journal for Numerical Methods in Engineering, Vol. 38, Issue 3 https://doi.org/10.1002/nme.1620380306	journal	February 1995
General Review of Rainfall-Runoff Modeling: Model Calibration, Data Assimilation, and Uncertainty Analysis Moradkhani, Hamid; Sorooshian, Soroosh Water Science and Technology Library https://doi.org/10.1007/978-3-540-77843-1_1	book	January 2008
Triangle: Engineering a 2D quality mesh generator and Delaunay triangulator Shewchuk, Jonathan Richard Applied Computational Geometry Towards Geometric Engineering, p. 203-222 https://doi.org/10.1007/BFb0014497	book	January 1996
Fracture network characteristics of a deep borehole in the Table Mountain Group (TMG), South Africa Lin, L.; Jia, H.; Xu, Y. Hydrogeology Journal, Vol. 15, Issue 7 https://doi.org/10.1007/s10040-007-0184-y	journal	April 2007
Depth dependent hydraulic conductivity in fractured sedimentary rocks-a geomechanical approach Cheema, Tariq Arabian Journal of Geosciences, Vol. 8, Issue 8 https://doi.org/10.1007/s12517-014-1603-8	journal	September 2014
River flow forecasting through conceptual models part I — A discussion of principles Nash, J. E.; Sutcliffe, J. V. Journal of Hydrology, Vol. 10, Issue 3 https://doi.org/10.1016/0022-1694(70)90255-6	journal	April 1970
Changing ideas in hydrology — The case of physically based models — Comment Loague, Keith Journal of Hydrology, Vol. 120, Issue 1-4 https://doi.org/10.1016/0022-1694(90)90161-P	journal	December 1990
Simulation of water and chemicals in macropore soils Part 1. Representation of the equivalent macropore influence and its effect on soilwater flow Chen, C.; Wagenet, R. J. Journal of Hydrology, Vol. 130, Issue 1-4 https://doi.org/10.1016/0022-1694(92)90106-6	journal	January 1992
A process-based, distributed hydrologic model based on a large-scale method for surface–subsurface coupling Shen, Chaopeng; Phanikumar, Mantha S. Advances in Water Resources, Vol. 33, Issue 12 https://doi.org/10.1016/j.advwatres.2010.09.002	journal	December 2010
Using a spatially-distributed hydrologic biogeochemistry model with a nitrogen transport module to study the spatial variation of carbon processes in a Critical Zone Observatory Shi, Yuning; Eissenstat, David M.; He, Yuting Ecological Modelling, Vol. 380 https://doi.org/10.1016/j.ecolmodel.2018.04.007	journal	July 2018
A modeling approach to evaluate the impacts of water quality management plans implemented in a watershed in Texas Santhi, C.; Srinivasan, R.; Arnold, J. G. Environmental Modelling & Software, Vol. 21, Issue 8 https://doi.org/10.1016/j.envsoft.2005.05.013	journal	August 2006
Essential Terrestrial Variable data workflows for distributed water resources modeling Leonard, Lorne; Duffy, Christopher J. Environmental Modelling & Software, Vol. 50 https://doi.org/10.1016/j.envsoft.2013.09.003	journal	December 2013
A tightly coupled GIS and distributed hydrologic modeling framework Bhatt, Gopal; Kumar, Mukesh; Duffy, Christopher J. Environmental Modelling & Software, Vol. 62 https://doi.org/10.1016/j.envsoft.2014.08.003	journal	December 2014
Fully-coupled hydrologic processes for modeling landscape evolution Zhang, Yu; Slingerland, Rudy; Duffy, Christopher Environmental Modelling & Software, Vol. 82 https://doi.org/10.1016/j.envsoft.2016.04.014	journal	August 2016
Implementation of a vector-based river network routing scheme in the community WRF-Hydro modeling framework for flood discharge simulation Lin, Peirong; Yang, Zong-Liang; Gochis, David J. Environmental Modelling & Software, Vol. 107 https://doi.org/10.1016/j.envsoft.2018.05.018	journal	September 2018
Detecting hydroclimatic change using spatio-temporal analysis of time series in Colorado River Basin Kumar, Mukesh; Duffy, Christopher J. Journal of Hydrology, Vol. 374, Issue 1-2 https://doi.org/10.1016/j.jhydrol.2009.03.039	journal	July 2009
Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling Gupta, Hoshin V.; Kling, Harald; Yilmaz, Koray K. Journal of Hydrology, Vol. 377, Issue 1-2 https://doi.org/10.1016/j.jhydrol.2009.08.003	journal	October 2009
Real-world hydrologic assessment of a fully-distributed hydrological model in a parallel computing environment Vivoni, Enrique R.; Mascaro, Giuseppe; Mniszewski, Susan Journal of Hydrology, Vol. 409, Issue 1-2 https://doi.org/10.1016/j.jhydrol.2011.08.053	journal	October 2011
Daily streamflow forecasting by machine learning methods with weather and climate inputs Rasouli, Kabir; Hsieh, William W.; Cannon, Alex J. Journal of Hydrology, Vol. 414-415 https://doi.org/10.1016/j.jhydrol.2011.10.039	journal	January 2012
Statistical distribution of hydraulic conductivity of rocks in deep-incised valleys, Southwest China Chen, Yi-Feng; Ling, Xiao-Ming; Liu, Ming-Ming Journal of Hydrology, Vol. 566 https://doi.org/10.1016/j.jhydrol.2018.09.016	journal	November 2018
Effect of exponential decay in hydraulic conductivity with depth on regional groundwater flow Jiang, Xiao-Wei; Wan, Li; Wang, Xu-Sheng Geophysical Research Letters, Vol. 36, Issue 24 https://doi.org/10.1029/2009GL041251	journal	January 2009
Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products: WATER AND ENERGY FLUX ANALYSIS Xia, Youlong; Mitchell, Kenneth; Ek, Michael Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D3 https://doi.org/10.1029/2011JD016048	journal	February 2012
One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model Liang, Xu; Lettenmaier, Dennis P.; Wood, Eric F. Journal of Geophysical Research: Atmospheres, Vol. 101, Issue D16 https://doi.org/10.1029/96JD01448	journal	September 1996
A Two-State Integral-Balance Model for Soil Moisture and Groundwater Dynamics in Complex Terrain Duffy, Christopher J. Water Resources Research, Vol. 32, Issue 8 https://doi.org/10.1029/96WR01049	journal	August 1996
Stability and damping in a dynamical model of hillslope hydrology Brandes, David; Duffy, Christopher J.; Cusumano, Joseph P. Water Resources Research, Vol. 34, Issue 12 https://doi.org/10.1029/98WR02532	journal	December 1998
Modeling evapotranspiration for three-dimensional global climate models Dickinson, Robert E. Climate Processes and Climate Sensitivity https://doi.org/10.1029/GM029p0058	book	January 1984
Experimental and numerical study of a transient, two-dimensional unsaturated-saturated water table recharge problem Vauclin, M.; Khanji, D.; Vachaud, G. Water Resources Research, Vol. 15, Issue 5 https://doi.org/10.1029/WR015i005p01089	journal	October 1979
Macropores and water flow in soils Beven, Keith; Germann, Peter Water Resources Research, Vol. 18, Issue 5 https://doi.org/10.1029/WR018i005p01311	journal	October 1982
Runoff Probability, Storm Depth, and Curve Numbers Hawkins, Richard H.; Hjelmfelt, Allen T.; Zevenbergen, Adrian W. Journal of Irrigation and Drainage Engineering, Vol. 111, Issue 4 https://doi.org/10.1061/(ASCE)0733-9437(1985)111:4(330)	journal	December 1985
Generation of Triangulated Irregular Networks Based on Hydrological Similarity Vivoni, Enrique R.; Ivanov, Valeri Y.; Bras, Rafael L. Journal of Hydrologic Engineering, Vol. 9, Issue 4 https://doi.org/10.1061/(ASCE)1084-0699(2004)9:4(288)	journal	July 2004
Groundwater Flow in a Tidally Influenced Gravel Beach in Prince William Sound, Alaska Bobo, Adane M.; Khoury, Naji; Li, Hailong Journal of Hydrologic Engineering, Vol. 17, Issue 4 https://doi.org/10.1061/(ASCE)HE.1943-5584.0000454	journal	April 2012
CVODE, A Stiff/Nonstiff ODE Solver in C Cohen, Scott D.; Hindmarsh, Alan C.; Dubois, Paul F. Computers in Physics, Vol. 10, Issue 2 https://doi.org/10.1063/1.4822377	journal	January 1996
Twenty-three unsolved problems in hydrology (UPH) – a community perspective Blöschl, Günter; Bierkens, Marc F. P.; Chambel, Antonio Hydrological Sciences Journal, Vol. 64, Issue 10 https://doi.org/10.1080/02626667.2019.1620507	journal	July 2019
A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant Beven, K. J.; Kirkby, M. J. Hydrological Sciences Bulletin, Vol. 24, Issue 1 https://doi.org/10.1080/02626667909491834	journal	March 1979
Drainable Porosity Evaluation from Outflow Measurements and its use in Drawdown Equations Taylor, George S. Soil Science, Vol. 90, Issue 6 https://doi.org/10.1097/00010694-196012000-00004	journal	January 1960
Natural evaporation from open water, bare soil and grass Penman, Howard Latimer Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences, Vol. 193, Issue 1032, p. 120-145 https://doi.org/10.1098/rspa.1948.0037	journal	April 1948
Streamflow Hydrology Estimate Using Machine Learning (SHEM) Petty, T. R.; Dhingra, P. JAWRA Journal of the American Water Resources Association, Vol. 54, Issue 1 https://doi.org/10.1111/1752-1688.12555	journal	August 2017
SUNDIALS: Suite of nonlinear and differential/algebraic equation solvers Hindmarsh, Alan C.; Brown, Peter N.; Grant, Keith E. ACM Transactions on Mathematical Software, Vol. 31, Issue 3 https://doi.org/10.1145/1089014.1089020	journal	September 2005
Numerical Solution of Richards' Equation: A Review of Advances and Challenges Farthing, Matthew W.; Ogden, Fred L. Soil Science Society of America Journal, Vol. 81, Issue 6 https://doi.org/10.2136/sssaj2017.02.0058	journal	October 2017
A Second-Order Accurate, Finite Volume-Based, Integrated Hydrologic Modeling (FIHM) Framework for Simulation of Surface and Subsurface Flow Kumar, Mukesh; Duffy, Christopher J.; Salvage, Karen M. Vadose Zone Journal, Vol. 8, Issue 4 https://doi.org/10.2136/vzj2009.0014	journal	November 2009
The National Land Cover Database Homer, Collin G.; Fry, Joyce A.; Barnes, Christopher A. USGS Numbered Series https://doi.org/10.3133/fs20123020	report	January 2012
HESS Opinions: The complementary merits of competing modelling philosophies in hydrology Hrachowitz, Markus; Clark, Martyn P. Hydrology and Earth System Sciences, Vol. 21, Issue 8 https://doi.org/10.5194/hess-21-3953-2017	journal	January 2017
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community Shen, Chaopeng; Laloy, Eric; Elshorbagy, Amin Hydrology and Earth System Sciences, Vol. 22, Issue 11 https://doi.org/10.5194/hess-22-5639-2018	journal	January 2018

Similar Records

rSHUD v2.0: advancing the Simulator for Hydrologic Unstructured Domains and unstructured hydrological modeling in the R environment

Journal Article · Thu Jan 18 19:00:00 EST 2024 · Geoscientific Model Development (Online) · OSTI ID:2281946

Dynamic coevolution of baseflow and multiscale groundwater flow system during prolonged droughts

Journal Article · Tue Mar 01 19:00:00 EST 2022 · Journal of Hydrology · OSTI ID:1977305

Related Subjects

58 GEOSCIENCES
Geology

Simulator for Hydrologic Unstructured Domains (SHUD v1.0): numerical modeling of watershed hydrology with the finite volume method

Citation Formats

References (48)

Similar Records

Related Subjects