Sea surface temperature retrieval from geostationary meteorological satellite (GMS-5) infrared split-window channels

1998 ◽  
Author(s):  
Weiying Chen
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Geostationary Meteorological Satellite ◽  
Temperature Retrieval ◽  
Meteorological Satellite

scholarly journals Sea Surface Temperature Retrieval from the First Korean Geostationary Satellite COMS Data: Validation and Error Assessment

2018 ◽  
Vol 10 (12) ◽  
pp. 1916 ◽  
Author(s):  
Hye-Jin Woo ◽  
Kyung-Ae Park ◽  
Xiaofeng Li ◽  
Eun-Young Lee
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Geostationary Satellite ◽  
Sea Surface ◽  
Surface Drifter ◽  
Temperature Retrieval ◽  
Buoy Data ◽  
Continuous Use ◽  
Meteorological Satellite ◽  
Surface Drifting Buoy

Korea’s first geostationary satellite, the “Communication, Ocean, and Meteorological Satellite” (COMS), has been operating since 2010. The Meteorological Imager (MI), an sensor on-board the COMS, has observed sea-surface radiances for the estimation of sea surface temperature (SST) in the western Pacific Ocean and eastern Indian Ocean. To derive the SST coefficients of COMS, quality-controlled surface drifting buoy data were collected for the period of April 2011 to March 2015. A collocation procedure between COMS/MI data and the surface drifter data produced a matchup database for 4 years from 2011 to 2015. The coefficients for the COMS/MI SST were derived by applying appropriate algorithms, i.e., the Multi-channel SST (MCSST) and Non-linear SST (NLSST) algorithms, for daytime and nighttime data using a regression method. Validation results suggest the possibility of the continuous use of the coefficients as representative SST coefficients of COMS. The estimated SSTs near the edge of a full disk with high satellite zenith angles over 60° revealed relatively large errors compared to drifter temperatures. Most of NLSST formulations exhibited overestimation of SSTs at low SSTs (<10 °C). This study suggests an approach by which SST can be measured accurately in order to contribute to tracking climate change.

Advanced sea surface temperature retrieval using the Japanese geostationary satellite, Himawari-6

2010 ◽  
Vol 66 (6) ◽  
pp. 855-864 ◽  
Author(s):  
Hiroshi Kawamura ◽  
Huiling Qin ◽  
Kohtaro Hosoda ◽  
Futoki Sakaida ◽  
Chunhua Qiu
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Geostationary Satellite ◽  
Sea Surface ◽  
Temperature Retrieval
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