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Parallel Computation of River Basin Hydrologic Response Using DHM. Reports Environmental Hydrology Team: NCSA Alliance All-Hands meeting May 23-25, 2001 Urbana, Illinois Baxter E.Vieux Daniel Weber Fekadu G. Moreda Henry Neeman Zhengtao Cui Contact: bvieux@ou.edu www.coe.ou.edu/emgis.
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Parallel Computation of River Basin Hydrologic Response Using DHM Reports Environmental Hydrology Team: NCSA Alliance All-Hands meeting May 23-25, 2001 Urbana, Illinois Baxter E.Vieux Daniel Weber Fekadu G. Moreda Henry Neeman Zhengtao Cui Contact: bvieux@ou.edu www.coe.ou.edu/emgis University of Oklahoma, Norman, Oklahoma
Overview • Objectives • The Distributed Hydrologic Model • Preparing the existing model for parallel computing • Parallelization • Time of computation • Coupling the model with ARPS
Objectives • Near term • Couple atmospheric model and surface runoff model for flood forecasting • Improve computational efficiency of surface runoff model • Long term • Integrate model into EH system
Runoff Simulation Watershed Runoff Simulation Finite Elements Connectivity Grid Cell Resolution Rainfall Runon Runon Infiltration Runoff • * Rainfall excess • at each cell • - Soil infiltration rate • - Rainfall rate • - Runon from upslope Flow Characteristics Channel Characteristics - Cross-Section Geometry - Slope - Hydraulic Roughness Stream Overland Direction
Arc.water.fea Forecast Location
Model components • Time static (Preprocessing) • Importing DEM • Watershed delineation • Setup specific experiment • Time Dynamic • Extraction • Simulation • Routing
Preparing The Model for Parallel Computing • Optimizing the existing code (rewrite in C++) • Isolate the I/O operations
Parallelization • MPI • Load balancing algorithm
Load Balancing Algorithm Processes (Descending loads) Basin Proc Processor assigned in an alternate fashion
Illinois River Basin, In Okllahoma and Arkansas Illionois river at Tahek
Time of computation 9 h 5 h 3 h 1h:30min 01:00:00
Prototype Operational Domain • Illinois River Basin • Area: 2400km2 • Resolution 30m x 30m • #Subbasins 370 • 7 days of monitoring • Timestep = 2sec Prediction: better load balancing
Coupling DHM with ARPS • Output of ARPS (Rainfall) -> Input to the surface runoff model • Flows at subbasin and river streams are predicted • Interface to run both models from web • Visualization of results (VisAD)