P1.15
Neural network based retrieval of wind and temperature Profiles from combined surface and satellite observations
Edward M. Measure, U.S. Army Research Lab., White Sands Missile Range, NM; and Y. Yee, M. Bleiweiss, and J. Cogan
Neural network techniques were used to retrieve temperature and wind from a combination of NOAA polar orbiter satellite observations and ground-based measurements. Back-propagation neural networks were constructed which used satellite radiances, simulated microwave radiometer measurements, and other ground-based measurements as inputs and produced temperature and wind profiles as outputs. The network was trained with rawindsonde measurements used as truth-values.
Poster Session 1, IIPS Poster Session: Formal Viewing
Tuesday, 16 January 2001, 5:30 PM-7:30 PM
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