Scatterometer Climatology of Ocean Winds (SCOW), by Risien et al.

This dataset consists of twelve variables for global seasonal cycles of the wind and wind stress fields estimated from the 10-year record (September 1999 - October 2009) of wind measurements by the NASA QuikSCAT scatterometer. Seasonal cycles for these variables were estimated using harmonic analysis where each multi-year time series of monthly means was fitted to a nine-parameter regression model consisting of a constant plus four harmonics. Only monthly global maps (January - December), constructed from the annual and semiannual harmonics, for the twelve SCOW wind variables are archived here, while the regression coefficients from which the monthly values were computed, as well as example scripts, can be downloaded from SCOW web site [http://numbat.coas.oregonstate.edu/scow/example_code.html]. For researchers interested in more than just the annual and semiannual harmonics, these regression coefficients include the higher-order 3 and 4 cycles per year harmonics. The regression coefficients allow easy calculation of the seasonal cycle at each grid location at an arbitrary time interval.本数据集包含12个变量，用于表征基于NASA QuikSCAT散射计1999年9月至2009年10月共10年的风速观测记录所估算得到的全球风场与风应力场的季节循环。针对上述变量的季节循环，研究人员采用谐波分析法开展估算：将逐年的月平均时间序列拟合至包含常数项与4次谐波的九参数回归模型。本存档库仅归档了由年谐波与半年度谐波构建得到的12个SCOW风场变量的全球月度地图（覆盖1月至12月）；而用于生成月度数值的回归系数与示例脚本，可从SCOW官方网站[http://numbat.coas.oregonstate.edu/scow/example_code.html]下载。对于需要年谐波与半年度谐波之外更多分量的研究者而言，上述回归系数还包含了每年3次与4次周期的高阶谐波。借助这些回归系数，可便捷计算任意时间间隔下每个网格点的季节循环。