Transcript Slide 1
Project Title: The Challenges of Utilizing Satellite Precipitation Data for Hydrologic Applications Project team: S. Sorooshian ([email protected]), K. Hsu ([email protected]), B. Imam, ([email protected]), X. Gao ([email protected]); P. Arkin ([email protected]) and E. Amitai ([email protected]) Science issue: Project status: How to reduce uncertainty of fine time scale multiple satellite precipitation observations for long-term climate studies? How to Integrate multiple satellite precipitation estimates for basin scale hydrologic applications? Year 3 (now): Approach: (2) Develop bias adjustment approach of satellite precipitation, (1) Downscaling of GPCP 2.5o-monthly precipitation product to 0.25o & hourly scale using recently developed high resolution precipitation products (HRPP), (2) Quantifying the quality of multiple satellite precipitation estimates at basin scales, (1) Investigate the 2006 drought and 2007 flood events at the SGP, (3) Improve fine time scale satellite precipitation estimation using GEO & LEO satellite information, (4) Evaluate high resolution precipitation products. Year 4-5: (1) Investigate the reliability of multiple precipitation estimation for remote region hydrologic studies; (3) Effective merging of multiple satellite precipitation estimates for the catchment scale hydrologic modeling of remote regions. (2) Use PERSIANN precipitation for the evaluation of climate extreme events. Satellite-based data: GPCP, TRMM TMPA, PERSIANN, and CMORPH precipitation estimates. NEWS linkages: (pull, push, collaborate, external) Other data: ARM, CEOP, USGS and Global Runoff Data Hoffman/Adler – GPCP monthly precipitation, TRMM MPA Models: PERSIANN, Data Merging Model, and NWS SACestimates SMA hydrologic model. Arkin/Xie/Joyce: CMAP, CMORPH Study Particulars: 2000-2007, hourly, 3-hour, daily, and Dai/Trenberth/Maurer: Global basin river discharge monthly time resolution. Rodell – precipitation data for GLDAS data assimilation Project status: Year 1-2 (1) Collect and evaluate hourly to monthly scale PERSIANN precipitation measurement for catchment scale hydrologic simulation; (2) Evaluate multiple satellite precipitation measurements; and (3) Investigate bias correction of multiple precipitation estimates. Peters-Lidard – precipitation data for LIS data assimilation Discussion with Adler & Huffman for integration of precipitation estimates (CMORPH, PERSIANN, and TMPA) Contribute to the GEWEX GRP GPCP and CGMS IPWG programs Contribute to the NASA PMM and UNESCO G-WADI programs