TY - JOUR
T1 - Hourly sea surface temperature retrieval using the Japanese geostationary satellite, Multi-functional Transport Satellite (MTSAT)
AU - Kawamura, Hiroshi
AU - Qin, Huiling
AU - Sakaida, Futoki
AU - Setiawan, Riza Yuliratno
N1 - Funding Information:
The AMSR-E data are produced by Remote Sensing Systems and sponsored by the NASA Earth Science REASON DISCOVER Project and the AMSR-E Science Team. The data can be obtained from their web site: www.remss.com.
PY - 2010/1
Y1 - 2010/1
N2 - An algorithm has been developed for retrieving sea surface temperature (SST) from hourly data transmitted from the Japanese Advanced Meteorological Imager (JAMI) aboard a Japanese geostationary satellite, Multi-functional Transport Satellite (MTSAT)-1R. Threshold tests screening cloudy pixels are empirically adjusted to cases of daytime with/without sun glitter, and nighttime. The Non-Linear SST (NLSST) equation, including several new additional terms, is used to calculate MTSAT SST. The estimated SST is compared with drifting and moored buoy measurements, with the result that the bias of the MTSAT SST is nearly 0.0°K. The root mean square (rms) error is about 0.8°K, and it is 0.7°K under the condition that the satellite zenith angle is less than 50°. It is demonstrated that the hourly MTSAT SST produced by the algorithm developed here captures diurnal SST variations in the equatorial sea in mid-November 2006.
AB - An algorithm has been developed for retrieving sea surface temperature (SST) from hourly data transmitted from the Japanese Advanced Meteorological Imager (JAMI) aboard a Japanese geostationary satellite, Multi-functional Transport Satellite (MTSAT)-1R. Threshold tests screening cloudy pixels are empirically adjusted to cases of daytime with/without sun glitter, and nighttime. The Non-Linear SST (NLSST) equation, including several new additional terms, is used to calculate MTSAT SST. The estimated SST is compared with drifting and moored buoy measurements, with the result that the bias of the MTSAT SST is nearly 0.0°K. The root mean square (rms) error is about 0.8°K, and it is 0.7°K under the condition that the satellite zenith angle is less than 50°. It is demonstrated that the hourly MTSAT SST produced by the algorithm developed here captures diurnal SST variations in the equatorial sea in mid-November 2006.
KW - Cloud detection
KW - Diurnal SST variation
KW - MTSAT
KW - SST retrieval
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U2 - 10.1007/s10872-010-0005-0
DO - 10.1007/s10872-010-0005-0
M3 - Article
AN - SCOPUS:77749339922
SN - 0916-8370
VL - 66
SP - 61
EP - 70
JO - Journal of Oceanography
JF - Journal of Oceanography
IS - 1
ER -