人工衛星および再解析から得られる種々の全球規模海上風速データセットの精度比較

抄録

Wind speed data are used to estimate the global air-sea momentum, heat, and CO₂ gas flux. The accuracy of wind speed data is clearly very important for these purposes. However, since global wind speed datasets are assembled from various sources of satellite and reanalysis data, the most-suitable dataset is often unclear. This study verifies the accuracy of available wind speed datasets by comparing various satellites and reanalyzed wind speed datasets using wind speeds measured by buoys. The global wind speed datasets, such as Cross Calibrated Multi-Platform (CCMP), NCEP/CFSR, NCEP-R1, NCEP-R2, European Center for Medium-Range Weather Forecasts (ECMWF)/ERA-Interim, and JRA-55 datasets were used. The root mean square error (RMSE) values of the six datasets against reference measurements are 1.05, 1.53, 2.16, 2.45, 1.42, and 1.64 (m/s), respectively. The accuracy of global datasets differs depending on the ocean area. However, the wind speed dataset in CCMP is the most accurate for any local ocean area. In the north Pacific and north Atlantic, all the datasets we tested are inaccurate. These results show that differences in the accuracy of the wind speed datasets may have a significant effect on the estimation of global air-sea momentum, heat, and CO₂ gas flux.