Journal of The School of Marine Science and Technology,Vol.1 No.1
Global ERS-1 Ocean Wind Data Set Constructed by Using an Optimum Interpolation Method
Shin’ichiro KAKO and Masahisa KUBOTA
Abstract
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-1scatterometer 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,intercomparison 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.