TY - JOUR
T1 - Algorithm and validation of sea surface temperature observation using MODIS sensors aboard terra and aqua in the western North Pacific
AU - Hosoda, Kohtaro
AU - Murakami, Hiroshi
AU - Sakaida, Futoki
AU - Kawamura, Hiroshi
N1 - Funding Information:
We are grateful to members of JAXA/EORC for their thoughtful comments on this manuscript. Comments from three anonymous reviewers were very helpful and greatly improved the manuscript. This study is supported by the ADEOS-II project of JAXA Japan, and Category 7 of MEXT PR2002 Project for Sustainable Coexistence of Human, Nature and the Earth and Special Coordination Fund for Promoting Science and Technology “New Generation SST” of MEXT, Japan.
PY - 2007/4
Y1 - 2007/4
N2 - A regional algorithm to estimate SST fields in the western North Pacific, where small oceanographic disturbance are often found, has been developed using Moderate Resolution Imaging Spectroradiometers (MODIS) aboard Terra and Aqua. Its associated algorithm, which includes cloud screening and SST estimation, is based on an algorithm for the Global Imager (GLI) aboard Advanced Earth Observing Satellite-II (ADEOS-II) and is tuned for MODIS sensors. For atmospheric correction, we compare Multi-Channel SST (MCSST), Nonlinear SST (NLSST), Water Vapor SST (WVSST) and Quadratic SST (QDSST) techniques. For NLSST, four first-guess SSTs are investigated, including the values for MCSST, climatology with two different spatial resolutions, and near-real-time objective analysis. The results show that the NLSST method using high-resolution climatological SST as a first-guess has both good quality and high efficiency. The differences of root-mean-square error (RMSE) between the NLSST models using low-resolution climatology and those using high-resolution climatology are up to 0.25 K. RMSEs of the new algorithm are 0.70 K/0.65 K for daytime (Aqua/Terra) and 0.65 K/0.66 K for nighttime, respectively. Diurnal warming and the stratification of the ocean surface layer under low wind are discussed.
AB - A regional algorithm to estimate SST fields in the western North Pacific, where small oceanographic disturbance are often found, has been developed using Moderate Resolution Imaging Spectroradiometers (MODIS) aboard Terra and Aqua. Its associated algorithm, which includes cloud screening and SST estimation, is based on an algorithm for the Global Imager (GLI) aboard Advanced Earth Observing Satellite-II (ADEOS-II) and is tuned for MODIS sensors. For atmospheric correction, we compare Multi-Channel SST (MCSST), Nonlinear SST (NLSST), Water Vapor SST (WVSST) and Quadratic SST (QDSST) techniques. For NLSST, four first-guess SSTs are investigated, including the values for MCSST, climatology with two different spatial resolutions, and near-real-time objective analysis. The results show that the NLSST method using high-resolution climatological SST as a first-guess has both good quality and high efficiency. The differences of root-mean-square error (RMSE) between the NLSST models using low-resolution climatology and those using high-resolution climatology are up to 0.25 K. RMSEs of the new algorithm are 0.70 K/0.65 K for daytime (Aqua/Terra) and 0.65 K/0.66 K for nighttime, respectively. Diurnal warming and the stratification of the ocean surface layer under low wind are discussed.
KW - Infrared SST
KW - Satellite observation
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U2 - 10.1007/s10872-007-0027-4
DO - 10.1007/s10872-007-0027-4
M3 - Article
AN - SCOPUS:33847775082
SN - 0916-8370
VL - 63
SP - 267
EP - 280
JO - Journal of Oceanography
JF - Journal of Oceanography
IS - 2
ER -