performance evaluation of adhydro preliminary results: seasonal time scale
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Hernan A Moreno, Leticia Goncalves Pureza, Fred L. Ogden and Robert Christian Steinke.Dept. of Civil and Architectural Engineering, University of WyomingTRANSCRIPT
ADHydro is a physics-based, high-resolution, distributed hydrologic model designed for simulating large watersheds in a massively parallel computing environment. Preliminary model results are obtained for the Upper Green River Watershed in Wyoming, running on the Mt. Moran supercomputer at the University of Wyoming. Results cover one water year, which allows evaluation of the model at a seasonal time scale. Performance evaluation of the model in terms of simulation correctness and computational efficiency is presented. These results include the effects of recent code changes: algorithms for mesh improvement such as breaking digital dams, a more efficient drain down process for generating realistic groundwater initial conditions, and general bug fixes.
Abstract
http://ci-water.org/
Performance Evaluation of ADHydro Preliminary Results: Seasonal Time Scale
Hernan A Moreno, Leticia Goncalves Pureza, Fred L. Ogden and Robert Christian Steinke. Dept. of Civil and Architectural Engineering, University of Wyoming
EPSCoREPS 1135483
3Rd Conference on Hydroinformatics - 2015
Winter Summer
Seasonal Maps of Hydrologic Variables ADHydro's output spatial distribution of (1) daily seasonal evapotranspiration and, (2) mean seasonal snow water equivalent.
WRF Model provides climate forcing during Aug 2000 – Aug 2001. Winter: Dec 21st– Mar 21st Summer: Jun 22nd – Sept 22nd. Mean values of (1) Air Temperature and (2) Specific Humidity 2-m above surface, (3) Wind speed 10-m above surface, and (4) Seasonal Precipitation.
References [1] Talbot, C. A., and Ogden, F. L. (2008). A method for computing infiltration and redistribution in a discretized moisture content domain, Water Resour. Res., 44(8), W08453, DOI:10.1029/2008WR006815. [2] Niu, G.-Y., et al. (2011). The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements, J. Geophys. Res., DOI:10.1029/2010JD015139.[3] Michalakes, J., et al. (2004). The Weather reseach and forecast model: Software architecture and performance, Proceedings of the 11th ECMWF Workshop on the Use of High Performance Computing In Meteorology, Reading U.K. Ed. George Mozdzynski.
WRF Forcing
Winter Summer
A high resolution, parallelized, multi-physics model integrating hydrologic process, engineered infrastructure, water resources polices and water management into spatially distributed simulations on an unstructured (TIN) grid.Building blocks:● 2D overland flow● 2D saturated groundwater flow● 1D channel routing with reservoirs● 1D Talbot-Ogden (T-O) infiltration[1]
● Noah-MP evapotranspiration/snow melt[2] ● The Weather Research and Forecasting
(WRF) meteorological model[3] forcing● Water management layer with agent-
based irrigation, hourly decision time
ADHydro Model Monthly Hydrologic Variability ADHydro preliminary results between Aug 2000 – March 2001 are presented in terms of mean basin: (1) Precipitation, Evapotranspiration and Snow Water Equivalent, and (2) Ground Water Storage.
● Basin Area: 1220 km2 ● Dominant soil type: Silty Clay● Mean Slope: 14.05% ● Dominant vegetation type: Deciduous● Mean Elevation: 2829 m broadleaf forest
Results illustrate a precipitation peak during Jan 2001. Snow accumulations peak during the months of Oct-Nov-Dec after which a snow melt period begins and continues until Sep-Oct. Evapotranspiration values are always smaller in volume than Precipitation except by the month of February when excess water from snow melting processes occur, adding to precipitation supply.
Groundwater Initial Condition
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Groundwater Head masl