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To improve retrieval accuracy, this paper studies wave effects on retrieved wind field from a scatterometer. First, the advanced scatterometer(ASCAT) data and buoy data of the National Data Buoy Center(NDBC) are collocated. Buoy wind speed is converted into neutral wind at 10 m height. Then, ASCAT data are compared with the buoy data for the wind speed and direction. Subsequently, the errors between the ASCAT and the buoy wind as a function of each wave parameter are used to analyze the wave effects. Wave parameters include dominant wave period(dpd), significant wave height(swh), average wave period(apd) and the angle between the dominant wave direction(dwd) and the wind direction. Collocated data are divided into sub-datasets according to the different intervals of each wave parameter. A root mean square error(RMSE) for the wind speed and a mean absolute error(MAE) for the wind direction are calculated from the sub-datasets, which are considered as the function of wave parameters. Finally, optimal wave conditions on wind retrieved from the ASCAT are determined based on the error analyses. The results show the ocean wave parameters have correlative relationships with the RMSE of the retrieved wind speed and the MAE of the retrieved wind direction. The optimal wave conditions are presented in terms of dpd, swh, apd and angle.
To improve retrieval accuracy, this paper studies wave effects on retrieved wind field from a scatterometer. First, the advanced scatterometer (ASCAT) data and buoy data of the National Data Buoy Center (NDBC) are collocated. Buoy wind speed is converted into neutral wind at, 10 m height. Then, the errors between the ASCAT and the buoy wind as a function of each wave parameter are used to analyze the wave speed. include dominant wave period (dpd), significant wave height (swh), average wave period (apd) and the angle between the dominant wave direction (dwd) and the wind direction. Collocated data are divided into sub-datasets according to the different intervals of each wave parameter. A root mean square error (RMSE) for the wind speed and a mean absolute error (MAE) for the wind direction are calculated from the sub-datasets, which are considered as the function of wave parameters. Fin ally, optimal wave conditions on wind retrieved from the ASCAT are determined based on the error analyzes. The results show the ocean wave parameters have correlative relationships with the RMSE of the retrieved wind speed and the MAE of the retrieved wind direction. are presented in terms of dpd, swh, apd and angle.