Linear Composite Method For Retrieving Sea Surface Wind Speed From TOPEX Altimetry And Wind Field Visualization

In this paper, based on satellite altimeter oceanographical remote sensing and computer technology, several important functions of marine geographical information system are implemented by the acquisition, retrieval, visualization and storing of macroscale sea surface wind data. Meanwhile, the work benefits the exploration of the combination of remote sensing and geographical information system.On the basis of σc - dependent linear composite method(LCM), Hs - dependent LCM and independent LCM are developed. Different from higher bias(about 0.35m/s~0.37m/s ) of TOPEX altimeter wind speed against buoy wind speed, Hs - dependent LCM and independent LCM have a relatively lower mean bias against buoy wind speed: -0.24m/s and -0.20m/s. The root mean square (RMS) error of Hs - dependent LCM is 1.77m/s, which is 1% less than the TOPEX altimeter wind speed (1.79m/s). The RMS error of independent LCM is 1.63m/s, which is 9% less than the TOPEX altimeter wind speed.This study also includes the implementation of static and dynamic wind field visualization using the wind field data, and saving the visualization results to vector map and grid map in the self-developed MAGIS (Marine and Atmospheric Geographical Information System). The wind field data comes from TOPEX altimeter wind data vectorization , which means the combination of TOPEX altimeter wind speed and ECMWF wind direction. The objective is an effort to provide better use of TOPEX altimeter wind data for oceanic and atmospheric research.