H31C:
Building Reliable Models of Complex Near Surface Processes: Parameterization, Testing, Reproducibility, and Sustainability Posters


Session ID#: 9086

Session Description:
Reliable predictions of near-surface processes are critical for addressing problems ranging from inadequate fresh water supply to catastrophic flooding. Building reliable models of near-surface processes is fraught with difficulties, however. The core scientific processes of verification, validation, and uncertainty quantification are extremely challenging in the mixed natural and man-made near surface  environment. Furthermore,  software engineering and policy considerations can also have a major impact on the quality and sustainability of computational modeling software.  This session invites contributions on improving the entire lifecyle of computaional models of near  surface processes including issues with model verification, validation, and uncertainty quantification, integrating model developing with laboratory and field experiments and remote sensing, reproducibility in computational water resources science, and the role of organizations in producing reliable models.  The objective is to build models that rightly inspire the confidence of the scientific community and wider public for rational policy and design decisions.
Primary Convener:  Christopher E Kees, Louisiana State University, Civil and Environmental Engineering, Baton Rouge, United States
Conveners:  Joseph Davis Hughes, USGS Office of Groundwater, Reston, VA, United States, Tyler Hesser, U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, United States and Matthew W Farthing, US Army Corps of Engineers, Vicksburg, MS, United States
Chairs:  Joseph Davis Hughes, USGS Office of Groundwater, Reston, VA, United States and Christopher E Kees, Louisiana State University, Civil and Environmental Engineering, Baton Rouge, United States
OSPA Liaison:  Matthew W Farthing, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States

Cross-Listed:
  • OS - Ocean Sciences
Index Terms:

1846 Model calibration [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1849 Numerical approximations and analysis [HYDROLOGY]
4546 Nearshore processes [OCEANOGRAPHY: PHYSICAL]

Abstracts Submitted to this Session:

Comparison of 2D and 3D Numerical Models with Experiments of Tsunami Flow through a Built Environment (Invited) (77025)
Randall J LeVeque, University of Washington, Applied Mathematics, Seattle, United States and Michael R Motley, University of Washington, Seattle, WA, United States
Implementing Quality Assurance for the Numerical Research Software Dune / PDELab / DuMux (Invited) (72312)
Bernd Flemisch1, Peter Bastian2, Dominic Kempf2, Timo Koch1 and Rainer Helmig3, (1)University of Stuttgart, Stuttgart, Germany, (2)University of Heidelberg, Heidelberg, Germany, (3)University of Stuttgart, Dept. of Hydromechanics and Modelling of Hydrosystems, Stuttgart, Germany
The One-Water Hydrologic Flow Model - The next generation in fully integrated hydrologic simulation software (81800)
Scott E Boyce1, Randall T Hanson1 and Integrated Hydrologic Model Development Team, (1)USGS California Water Science Center San Diego, San Diego, CA, United States
Verification and Validation of Numerical Models for Air/Water Flow on Coastal and Navigation Fluid-Structure Interaction Applications (84058)
Christopher E Kees1, Matthew Farthing2, Aggelos Dimakopoulos3 and Tristand DeLataillade3, (1)Louisiana State University, Civil and Environmental Engineering, Baton Rouge, United States, (2)U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, United States, (3)HR Wallingford, Wallingford, United Kingdom
Modeling multi-scale turbulent dispersion in two-phase dilute flows (71561)
Zhenhua Huang, University of Hawaii at Manoa, Honolulu, United States, Cheng-Hsien Lee, Department of Water Resources and Environmental Engineering, Tamkang University, New Taipei City, Taiwan and Yee-Meng Chiew, Nanyang Technological University, Singapore, Singapore
You Don't Need Richards'... A New General 1-D Vadose Zone Solution Method that is Reliable (68843)
Fred L Ogden1, Wencong Lai2, Jianting Zhu2, Robert Christian Steinke2 and Cary Alan Talbot3, (1)NOAA Affiliate, University Corporation for Atmospheric Research, Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (2)University of Wyoming, Laramie, WY, United States, (3)Engineer Research and Development Center, US Army Corps of Engineers, Coastal and Hydraulics Laboratory, Vicksburg, United States
SMART: Soil Moisture and Runoff Toolkit for Semi-distributed Hydrologic Modeling (76263)
Hoori Ajami1, Urooj Khan2, Narendra Kumar Tuteja2 and Ashish Sharma3, (1)University of California Riverside, Environmental Sciences, Riverside, CA, United States, (2)Bureau of Meteorology, Canberra, Australia, (3)University of New South Wales, Sydney, NSW, Australia
Numerical and Experimental Investigation of Soil Heterogeneity around Landmines in Natural Soil (80586)
Benjamin Wallen1, Kathleen M Smits1 and Stacy E Howington2, (1)Center for Experimental Study of Subsurface Environmental Processes (CESEP), Colorado School of Mines, Golden, CO, United States, (2)Engineer R&D Center, Vicksburg, MS, United States

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