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Parallel Computation of River Basin Hydrologic Response Using DHM

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1 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: University of Oklahoma, Norman, Oklahoma

2 Overview Objectives The Distributed Hydrologic Model
Preparing the existing model for parallel computing Parallelization Time of computation Coupling the model with ARPS

3 Objectives Near term Long 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

4 Runoff Simulation Watershed Finite Elements Grid Cell Resolution
Rainfall Infiltration Runon Runoff Stream Overland Direction Flow Characteristics Channel Characteristics - Cross-Section Geometry - Slope - Hydraulic Roughness * Rainfall excess at each cell - Soil infiltration rate - Rainfall rate - Runon from upslope Grid Cell Resolution Finite Elements Connectivity Watershed Simulation This schematic diagram shows how runoff is routed from one grid cell to the next through the drainage network defined by the topography. 1

5 Digital Watershed

6 Arc.water.fea Forecast Location

7 Model components Time static (Preprocessing) Time Dynamic
Importing DEM Watershed delineation Setup specific experiment Time Dynamic Extraction Simulation Routing

8 Preparing The Model for Parallel Computing
Optimizing the existing code (rewrite in C++) Isolate the I/O operations

9 Parallelization MPI Load balancing algorithm

10 Load Balancing Algorithm
Processes (Descending loads) 1 2 3 4 5 6 7 8 Basin Proc Processor assigned in an alternate fashion

11 Illinois River Basin, In Okllahoma and Arkansas
Illionois river at Tahek

12 Computation based on Subbasins
Total # Subbasins =57 Max# Grid cells 12231 Min # Grid cells 54

13 Load Balancing

14 Distribution of loads (16 Processors)

15 Distribution of load (4 Processors)

16 Time of computation 9 h 5 h 3 h 1h:30min 01:00:00

17 Prototype Operational Domain
Illinois River Basin Area: 2400km2 Resolution 30m x 30m #Subbasins 370 7 days of monitoring Timestep = 2sec Prediction: better load balancing

18 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)

19 ARPS: Rainfall prediction:01h

20 ARPS: Rainfall prediction:02h

21 ARPS: Rainfall prediction:03h

22 ARPS: Rainfall prediction:04h

23 Flow Prediction

24 Discussion


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