Algorithm and validation of sea surface temperature observation using MODIS sensors aboard terra and aqua in the western North Pacific |
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Authors: | Kohtaro Hosoda Hiroshi Murakami Futoki Sakaida Hiroshi Kawamura |
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Institution: | (1) Earth Observation Research Center, Japan Aerospace Exploration Agency, Sengen, Tsukuba, Ibaraki 305-8505, Japan;(2) Center for Atmospheric and Oceanic Studies, Graduate School of Science, Tohoku University, Aoba, Sendai 980-8578, Japan |
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Abstract: | 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. |
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Keywords: | Infrared SST satellite observation |
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