HR: 11:35h
AN: H32A-06    [Abstracts]
TI: Comparison of Four Global Satellite Rainfall Data Products over the United States against WSR-88D Radar Rainfall Data
AU: * Anagnostou, E
EM: manos@engr.uconn.edu
AF: University of Connecticut, Civil and Environmental Engineering, Storrs, CT 06269, United States
AU: Hossain, F
EM: fhossain@tntech.edu
AF: Tennessee Technological University, Department of Civil and Environmental Engineering, Cookeville, TN 38505-0001, United States
AB: We assessed the multi-dimensional uncertainty structure of four pseudo-real time and publicly available quasi- global satellite rainfall products overland at spatial scales of 0.04 and 0.25 degrees. These four products were: 1) NASA's Infrared Rainfall (IR) product 3B41RT; 2) NASA's Merged Microwave Rainfall product 3B42RT; 3) NOAA CPC Passive Microwave Rainfall product CMORPH, and 4) PERSIANN produced by University of California (Irvine). Each of these products adopts a distinct physical scheme (such as the use of Lagrangian or Eulerian frame of reference) and calibration strategy (such as neural networks or the use of TRMM-PR) in the rainfall estimation process. Analysis was performed over two regions in the US known to have a distinct hydro- climatology – i) Mid-western US (a semi-arid zone), and ii) Florida (sub-tropical zone modulated by coastal effects). Uncertainty was assessed using WSR-88D rainfall as reference for ground validation data. Nine hydrologically relevant error metrics were computed for each product according to a multi-dimensional error modeling scheme that decomposes the marginal error in three major dimensions: 1) temporal dimension (how does the error vary in time?); ii) spatial dimension (how does the error vary in space?) and iii) retrieval dimension (how ‘off' is each rainfall estimate from the true value over rainy areas?).
DE: 1840 Hydrometeorology
DE: 1854 Precipitation (3354)
DE: 1855 Remote sensing (1640)
DE: 1873 Uncertainty assessment (3275)
SC: Hydrology [H]
MN: 2007 Fall Meeting