Improved estimates of wide-ranging Sea Surface temperature from GMS S-VISSR data

Shuichi Tanahashi, Hiroshi Kawamura, Toshihiko Matsuura, Tomoyuki Takahashi, Hiroyuki Yusa

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)345-358
Number of pages14
JournalJournal of Oceanography
Volume56
Issue number3
DOIs
Publication statusPublished - 2000 Jun 1

Keywords

  • GMS
  • SST
  • Sea Surface Temperature
  • VISSR

ASJC Scopus subject areas

  • Oceanography

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