Algorithm for estimating sea surface temperatures based on Aqua/MODIS global ocean data. 1. Development and validation of the algorithm
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An algorithm for estimating global sea surface temperatures (SST) from data obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Aqua satellite has been developed empirically. Four atmospheric correction models for MODIS observations are examined, and the effects of ancillary data for corrections are discussed. A nonlinear (NLSST) model using high-temporal-resolution climatological SSTs as the first guess shows high accuracy and availability. The addition of a temperature-proportional term to the NLSST model effectively improves the estimate.
KeywordsSea surface temperature Satellite observation
We wish to express our appreciation to the NASA Goddard Space Flight Center (GSFC) Level 1 and the Atmospheric Archive and Distribution System (LAADS) for providing MODIS Level 1B data. We would also like to thank Mr. Keiji Imaoka at the Earth Observation Research Center of Japan Aerospace Exploration Agency and Mr. Masanaga Kominami in the Remote Sensing Technology Center of Japan for their help in obtaining MODIS data. We also appreciate the valuable comments and suggestions of two anonymous reviewers. This work was supported by the “Global Change Observation Mission” project of the Japan Aerospace Exploration Agency (JX-PSPC-260080).
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