GPU-based high-performance computing for integrated surface-sub-surface flow modeling
暂无分享,去创建一个
Praveen Kumar | Albert J. Valocchi | Hoang-Vu Dang | Phong V. V. Le | Praveen Kumar | A. Valocchi | P. Le | Hoang-Vu Dang
[1] L. A. Richards. Capillary conduction of liquids through porous mediums , 1931 .
[2] Y. Mualem. A New Model for Predicting the Hydraulic Conductivity , 1976 .
[3] Van Genuchten,et al. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils , 1980 .
[4] Chris R. Jesshope,et al. Parallel Computers 2: Architecture, Programming and Algorithms , 1981 .
[5] G. Pinder,et al. Computational Methods in Subsurface Flow , 1983 .
[6] T. Hromadka,et al. SOLVING THE TWO-DIMENSIONAL DIFFUSION FLOW MODEL. , 1985 .
[7] M. Allen,et al. A finite element collocation method for variably saturated flows in porous media , 1985 .
[8] M. Celia,et al. A General Mass-Conservative Numerical Solution for the Unsaturated Flow Equation , 1990 .
[9] T. Dunne,et al. Effects of Rainfall, Vegetation, and Microtopography on Infiltration and Runoff , 1991 .
[10] Eric F. Wood,et al. A detailed model for simulation of catchment scale subsurface hydrologic processes , 1993 .
[11] G. Gottardi,et al. A control-volume finite-element model for two-dimensional overland flow , 1993 .
[12] Mario Putti,et al. A comparison of Picard and Newton iteration in the numerical solution of multidimensional variably saturated flow problems , 1994 .
[13] A. M. Wasantha Lal,et al. Performance Comparison of Overland Flow Algorithms , 1998 .
[14] A. M. Wasantha Lal,et al. Weighted Implicit Finite-Volume Model for Overland Flow , 1998 .
[15] T. C. Winter,et al. Ground Water and Surface Water: A Single Resource , 1999 .
[16] I. Rodríguez‐Iturbe. Ecohydrology: A hydrologic perspective of climate‐soil‐vegetation dynamies , 2000 .
[17] E. A. Sudicky,et al. Application of a physically-based numerical model of surface and subsurface water flow and solute transport , 2000 .
[18] Ben Chie Yen,et al. Modeling of conjunctive two-dimensional surface-three-dimensional subsurface flows , 2002 .
[19] W. Cohen,et al. Lidar Remote Sensing for Ecosystem Studies , 2002 .
[20] M. Sophocleous. Interactions between groundwater and surface water: the state of the science , 2002 .
[21] P. Huyakorn,et al. A fully coupled physically-based spatially-distributed model for evaluating surface/subsurface flow , 2004 .
[22] E. Vivoni,et al. Catchment hydrologic response with a fully distributed triangulated irregular network model , 2004 .
[23] Reed M. Maxwell,et al. Development of a Coupled Land Surface and Groundwater Model , 2005 .
[24] R. Maxwell,et al. Integrated surface-groundwater flow modeling: A free-surface overland flow boundary condition in a parallel groundwater flow model , 2006 .
[25] R. Maxwell,et al. The groundwater land-surface atmosphere connection: Soil moisture effects on the atmospheric boundary layer in fully-coupled simulations , 2007 .
[26] C. Duffy,et al. A semidiscrete finite volume formulation for multiprocess watershed simulation , 2007 .
[27] John D. Owens,et al. GPU Computing , 2008, Proceedings of the IEEE.
[28] Kevin Skadron,et al. Scalable parallel programming , 2008, 2008 IEEE Hot Chips 20 Symposium (HCS).
[29] Enrique R. Vivoni,et al. Vegetation‐hydrology dynamics in complex terrain of semiarid areas: 2. Energy‐water controls of vegetation spatiotemporal dynamics and topographic niches of favorability , 2008 .
[30] C. Duffy,et al. A Second‐Order Accurate, Finite Volume–Based, Integrated Hydrologic Modeling (FIHM) Framework for Simulation of Surface and Subsurface Flow , 2009 .
[31] A. Porporato,et al. Role of microtopography in rainfall‐runoff partitioning: An analysis using idealized geometry , 2010 .
[32] Jan Vanderborght,et al. Proof of concept of regional scale hydrologic simulations at hydrologic resolution utilizing massively parallel computer resources , 2010 .
[33] Brent Schwarz,et al. LIDAR: Mapping the world in 3D , 2010 .
[34] Yao Zhang,et al. Fast tridiagonal solvers on the GPU , 2010, PPoPP '10.
[35] C. Paniconi,et al. Surface‐subsurface flow modeling with path‐based runoff routing, boundary condition‐based coupling, and assimilation of multisource observation data , 2010 .
[36] Pradeep Dubey,et al. Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU , 2010, ISCA.
[37] Chaopeng Shen,et al. A process-based, distributed hydrologic model based on a large-scale method for surface–subsurface coupling , 2010 .
[38] R. Maxwell,et al. A comparison of two physics-based numerical models for simulating surface water–groundwater interactions , 2010 .
[39] Gunnar Lischeid,et al. Effects of micro-topography on surface–subsurface exchange and runoff generation in a virtual riparian wetland — A modeling study , 2010 .
[40] Annamaria Mazzia,et al. Coupling water flow and solute transport into a physically-based surface–subsurface hydrological model , 2011 .
[41] Valerie Ussyshkin,et al. Airborne Lidar: Advances in Discrete Return Technology for 3D Vegetation Mapping , 2011, Remote. Sens..
[42] M. Loos,et al. Topographic controls on overland flow generation in a forest - An ensemble tree approach , 2011 .
[43] S. Whisenant,et al. Plant and Soil Responses to Created Microtopography and Soil Treatments in Bottomland Hardwood Forest Restoration , 2011 .
[44] Praveen Kumar,et al. Typology of hydrologic predictability , 2011 .
[45] Y. Tachikawa,et al. A new Iterative Alternating Direction Implicit (IADI) algorithm for multi-dimensional saturated–unsaturated flow , 2011 .
[46] R. Maxwell. A terrain-following grid transform and preconditioner for parallel, large-scale, integrated hydrologic modeling , 2013 .
[47] Joseph H. A. Guillaume,et al. Characterising performance of environmental models , 2013, Environ. Model. Softw..
[48] Surya Pratap Vanka,et al. 2012 Freeman Scholar Lecture: Computational Fluid Dynamics on Graphics Processing Units , 2013 .
[49] G E Hammond,et al. Evaluating the performance of parallel subsurface simulators: An illustrative example with PFLOTRAN , 2014, Water resources research.
[50] Praveen Kumar,et al. Power law scaling of topographic depressions and their hydrologic connectivity , 2014 .
[51] M. Camporese,et al. Simplified modeling of catchment-scale evapotranspiration via boundary condition switching , 2014 .
[52] Olaf Kolditz,et al. Surface‐subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks , 2014 .
[53] Sven Frei,et al. Representing effects of micro-topography on runoff generation and sub-surface flow patterns by using superficial rill/depression storage height variations , 2014, Environ. Model. Softw..
[54] Peter A. Forsyth,et al. A parallel computational framework to solve flow and transport in integrated surface-subsurface hydrologic systems , 2012, Environ. Model. Softw..
[55] Markus Geimer,et al. Implementation and scaling of the fully coupled Terrestrial Systems Modeling Platform (TerrSysMP v1.0) in a massively parallel supercomputing environment - a case study on JUQUEEN (IBM Blue Gene/Q) , 2014 .