Global ESR-1 ocean wind data set constructed by using an optimum interpolation method
2003
Kako, S. (Tokai Univ., Tokyo (Japan)) | Kubota, M.
ERS ocean wind data cover only 43% of the whole ocean during one day because the swath of the ERS scatterometer is 500km wide to the right of the ground track. It is difficult to use such observation data including many missing data for understanding global climate variability. Therefore, we constructed a daily surface wind data set on a 1 deg. by 1 deg. grid from ERS-1 scatterometer data using an optimum interpolation method (O.I. M) in the present study. In order to verify the accuracy of the data set constructed in the present study, inter comparison with other data sets is carried out here. As the result, it turns out that the present data set can reproduce high-frequency variability well compared with other data sets. Moreover, the present data set shows high accuracy in the equatorial region by comparison with the TAO/TRITON buoy data, although the correlation coefficients between the present study and other products are low (0.4 or less) in the equatorial region.
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