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Remote Sens. 2013, 5(6), 3123-3139; doi:10.3390/rs5063123
Article

Data Assimilation of the High-Resolution Sea Surface Temperature Obtained from the Aqua-Terra Satellites (MODIS-SST) Using an Ensemble Kalman Filter

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Received: 20 May 2013; in revised form: 13 June 2013 / Accepted: 18 June 2013 / Published: 21 June 2013
(This article belongs to the Special Issue Observing the Ocean’s Interior from Satellite Remote Sensing)
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Abstract: We develop an assimilation method of high horizontal resolution sea surface temperature data, provided from the Moderate Resolution Imaging Spectroradiometer (MODIS-SST) sensors boarded on the Aqua and Terra satellites operated by National Aeronautics and Space Administration (NASA), focusing on the reproducibility of the Kuroshio front variations south of Japan in February 2010. Major concerns associated with the development are (1) negative temperature bias due to the cloud effects, and (2) the representation of error covariance for detection of highly variable phenomena. We treat them by utilizing an advanced data assimilation method allowing use of spatiotemporally varying error covariance: the Local Ensemble Transformation Kalman Filter (LETKF). It is found that the quality control, by comparing the model forecast variable with the MODIS-SST data, is useful to remove the negative temperature bias and results in the mean negative bias within −0.4 °C. The additional assimilation of MODIS-SST enhances spatial variability of analysis SST over 50 km to 25 km scales. The ensemble spread variance is effectively utilized for excluding the erroneous temperature data from the assimilation process.
Keywords: Moderate Resolution Imaging Spectroradiometer (MODIS) sensors; ocean circulation model; vertical projection; Ensemble Kalman Filter; dynamic quality control Moderate Resolution Imaging Spectroradiometer (MODIS) sensors; ocean circulation model; vertical projection; Ensemble Kalman Filter; dynamic quality control
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Miyazawa, Y.; Murakami, H.; Miyama, T.; Varlamov, S.M.; Guo, X.; Waseda, T.; Sil, S. Data Assimilation of the High-Resolution Sea Surface Temperature Obtained from the Aqua-Terra Satellites (MODIS-SST) Using an Ensemble Kalman Filter. Remote Sens. 2013, 5, 3123-3139.

AMA Style

Miyazawa Y, Murakami H, Miyama T, Varlamov SM, Guo X, Waseda T, Sil S. Data Assimilation of the High-Resolution Sea Surface Temperature Obtained from the Aqua-Terra Satellites (MODIS-SST) Using an Ensemble Kalman Filter. Remote Sensing. 2013; 5(6):3123-3139.

Chicago/Turabian Style

Miyazawa, Yasumasa; Murakami, Hiroshi; Miyama, Toru; Varlamov, Sergey M.; Guo, Xinyu; Waseda, Takuji; Sil, Sourav. 2013. "Data Assimilation of the High-Resolution Sea Surface Temperature Obtained from the Aqua-Terra Satellites (MODIS-SST) Using an Ensemble Kalman Filter." Remote Sens. 5, no. 6: 3123-3139.


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