ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
A Study of Selecting High Density Tracers in Deriving Winds from Geostationary Meteorological Satellite Data
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Abstract:
An important step in deriving winds from geostationary meteorological satellite data is selecting the clouds which move slowly and go with the wind，w hich is called tracers. A new scheme of tracer selection is developed to improve the quality and the density of cloud motion winds. The scheme has a novel featu re that the extraction location of the tracer is not fixed at the center locatio n of the grid, but first optimized at the location where the gradient is maximum in the grid domain, and then by cumulonimbus and uniformity test, the final tra cers can be decided. Then cloud motion winds are derived from these tracers and after a circumfluence analysis on the cloud motion winds, the cloud motion wind s are compared with the rawinsonde winds. The result shows that the cloud motio n winds have well quality and higher density, and the wind structure of weather system can be seen clearly from them.
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