The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Integration of Global Precipitation Measurement Data Product with the Hydrologic Engineering Center- Hydrologic Modeling System The University of Mississippi Geoinformatics Center Lance D. Yarbrough, PI Joel S. Kuszmaul, Co-PI

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Experiment Collaborators MRC–RPC team –Lance D. Yarbrough and Joel S. Kuszmaul Tennessee Technological University –Faisal Hossain NASA at GSFC –Bob Adler SSAI at GSFC –George Huffman University of Connecticut –Amvrossios C. Bagtzoglou

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Objectives Evaluate the effects of spatial downscaling of satellite precipitation data for flood modeling.

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Background Realistic flood modeling in medium-large river basins requires rainfall data at hydrologically relevant scales ranging from 1-5 km. However, satellite rainfall data has historically been available at spatial resolutions that can be considered somewhat coarse for predicting the dynamic flood phenomenon (~ km). As a natural response to this limitation that has persisted for over a decade, hydrologists have devised numerous statistical spatial downscaling schemes till now.

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Global Precipitation Measurement (GPM) Launch: June 2013 GPM will initiate the measurement of global precipitation, a key climate factor

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Hydrologic Modeling System (HEC-HMS)

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 General Data Flow Diagram

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Questions to answer in RPC Which option is more appropriate: –an error propagation –a probabilistically downscaled? How much to downscale? Which product is more beneficial? What are the implications?

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Expected Impacts Earth System Models: Army Corps of Engineers HEC-HMS model Spatial analysis algorithms Earth Observations: GPM proxy data Predictions and Measurements: Event/Seasonal runoff for modeled basins Point specific hydrographs Flood water extent Decisions Support: HAZUS-MH (FEMA) Benefits: Identify water supply demands Now-casting of real-time flooding events Flood hazard assessment Asset Management and flood mitigation

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Location of basins Upper Cumberland River, TN Upper Yazoo Basin, MS Pearl River, MS

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Upper Cumberland River Basin

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Event Selection

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Native Scale (0.25°) 3B42 Precipitation Data versus Streamflow 3B41 Precipitation Data versus Streamflow

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Uncertainty of Simulated Streamflow Using SREM2D at Native Scale (0.25°) 3B41 Precipitation Data versus Streamflow

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Uncertainty of Simulated Streamflow Using SREM2D at Native Scale (0.25°) 3B42 Precipitation Data versus Streamflow

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Preliminary Results 3B42RT with error modeling at native scale is most realistic 3B41RT yield more confident flow estimates when flood modeling

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Upcoming Tasks Calibrate HEC-HMS model for the last basin in the study Complete comparison of results for all three basins Complete and submit manuscripts for peer-review publication

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Timeline/Schedule

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Publications Harris, A., S. Rahman, F. Hossain, L. D. Yarbrough, A. C. Bagtzolgou and G. Easson, Satellite-based Flood Modeling using TRMM-based rainfall products and Statistical Downscaling, Sensors, 7, pp. 3416–3427.

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Poster/Abstract Rahman, S., A.C. Bagtzoglou, L.D. Yarbrough, R. Adler, G. Huffman, and F. Hossain, Investigating Satellite Rainfall Based Flood Modeling in Anticipation of GPM: Understanding the Worth of Spatial Downscaling and Satellite Rainfall Uncertainty. Eos Trans. AGU, Fall Meeting Supplement, Abstract IN43B-1176.

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Upper Yazoo River Basin

The University of Mississippi Geoinformatics Center NASA MRC RPC – April 2008 Pearl River Basin

The University of Mississippi Geoinformatics Center NASA MRC RPC – April B41 Precipitation Data ° ° 0.125° 3B42 Precipitation Data