Title :
Precipitation observations near 54 and 183 GHz using the NOAA-15 satellite
Author :
Staelin, David H. ; Chen, Frederick W.
Author_Institution :
Res. Lab. of Electron., MIT, Cambridge, MA, USA
fDate :
9/1/2000 12:00:00 AM
Abstract :
Promising agreement over land and sea has been obtained between NEXRAD 3-GHz radar observations of precipitation rate and retrievals based on simultaneous passive observations at 50-191 GHz from the Advanced Microwave Sounding Unit (AMSU) on the NOAA-15 meteorological satellite. A neural network with three hidden nodes and one linear output node operated on 15 km resolution data at 183±1 and 183±7 GHz, plus the cosine of scan angle, to produce estimates that match well the morphology of NEXRAD hurricane and frontal precipitation data smoothed to 15-km resolution. A second neural network operated on the same three parameters used in the first network, but smoothed to 50-km resolution, plus spatially-filtered cold perturbations detected in three AMSU tropospheric temperature-sounding channels (channels 4-6), which also have 50-km resolution. Comparison with the same NEXRAD data smoothed to 50-km resolution yielded root mean square (rms) discrepancies for two frontal systems and two passes over Hurricane Georges of ~1.1 mm/h, and ±1.4 dB for those precipitation events over 4 mm/h. Only 8.9% of the total AMSU-derived rainfall was in areas where AMSU saw more than 1-mm/h and NEXRAD saw less than 1-mm/h, and only 6.2% of the total NEXRAD-derived rainfall was in areas where NEXRAD saw more than 1-mm/h and AMSU saw less than 1-mm/h
Keywords :
atmospheric techniques; feedforward neural nets; geophysical signal processing; meteorological radar; radar signal processing; rain; remote sensing by radar; spaceborne radar; storms; 183 GHz; 54 GHz; AMSU; Advanced Microwave Sounding Unit; NOAA-15; atmosphere; feedforward neural net; frontal precipitation; hidden nodes; hurricane; meteorological radar; neural network; one linear output node; precipitation; radar remote sensing; rain; rainfall; satellite remote sensing; spaceborne radar; storm; Hurricanes; Meteorological radar; Meteorology; Morphology; Neural networks; Passive radar; Root mean square; Satellites; Spaceborne radar; Spatial resolution;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on