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Improved Estimates of Wide-Ranging Sea Surface Temperature from GMS S-VISSR Data |
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| Authors: | Shuichi Tanahashi Hiroshi Kawamura Toshihiko Matsuura Tomoyuki Takahashi Hiroyuki Yusa |
| Institution: | (1) Science Systems Division, Fujitsu Limited, 1-9-3 Nakase, Mihama-ku, Chiba, 261-8588, Japan;(2) Center for Atmospheric and Oceanic Studies, Faculty of Science, Tohoku University, Sendai, 980-8578, Japan;(3) Science Systems Division, Fujitsu Limited, 1-9-3 Nakase, Mihama-ku, Chiba, 261-8588, Japan;(4) Systems Division, Fujitsu BSC Limited, 2-9-16 Chuoh, Aoba-ku, Sendai, 980-0021, Japan;(5) Sendai Research Center of TAO (Telecommunications Advancement Organization of Japan), 6-6-3 Minamiyoshinari, Aoba-ku, Sendai, 989-3204, Japan;(6) Systems Division, Fujitsu Tohoku Systems Engineering Limited, 3-3-16 Ichiban-cho, Aoba-ku, Sendai, 980-0811, Japan |
| Abstract: | We have developed an algorithm to estimate the wide-ranging Sea Surface Temperature (SST) data from the GMS-5 (Geostationary Meteorological Satellite) S-VISSR (Stretched-Visible Infrared Spin Scan Radiometer). Better SST estimates are realized by averaging the temporal variation of the VISSR calibration table and decreasing noise of the split-window terms using a spatial filter. The effects of the satellite zenith angle were examined in detail for better estimates, and VISSR-derived SSTs with root-mean-square (rms) error of 0.8 K were achieved using a new algorithm. The accuracy of SST estimates has been improved by using the temporal-spatial average of the split-window terms. Using the new techniques, we demonstrate that the hourly wide-ranging SST image data can be used to study the daily variations of SSTs in the Northern and Southern Pacific Oceans. |
| Keywords: | Sea Surface Temperature SST GMS VISSR |
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