论文标题
从漂流浮标的小时海面温度数据集
A Dataset of Hourly Sea Surface Temperature From Drifting Buoys
论文作者
论文摘要
海面温度（SST）估计数据集是由NOAA全球漂流程序表面漂移浮标的温度观察产生的。通过拟合观察结果，可以在沿漂流者轨迹的常规小时时间步长下进行SST的估计，该数学模型代表同时代表每日频率三个谐波的SST昼夜变异性，而SST低频变异性则与一级多项式相关。随后的非统治SST，昼夜SST异常和总SST作为其总和，并具有各自的标准不确定性。该拉格朗日SST数据集已开发出来，以匹配全球漂流者程序中现有的位置和速度的小时数据集。
A dataset of sea surface temperature (SST) estimates is generated from the temperature observations of surface drifting buoys of NOAA's Global Drifter Program. Estimates of SST at regular hourly time steps along drifter trajectories are obtained by fitting to observations a mathematical model representing simultaneously SST diurnal variability with three harmonics of the daily frequency, and SST low-frequency variability with a first degree polynomial. Subsequent estimates of non-diurnal SST, diurnal SST anomalies, and total SST as their sum, are provided with their respective standard uncertainties. This Lagrangian SST dataset has been developed to match the existing hourly dataset of position and velocity from the Global Drifter Program.
