1981-2020年全球海洋0.1度海表发射率8天数据

海表发射率（Sea Surface Emissivity, SSE）与海表温度（Sea Surface Temperature, SST）共同决定海表热辐射，在全球能量循环系统中扮演重要的角色；同时，SSE的精度也是制约SST反演精度的首要因素。因此，发展SSE的模拟与反演对地球表面辐射收支和全球变暖研究具有重要意义。
SSE与波长有关，8-13.5µm宽波段发射率是计算长波净辐射的最佳光谱范围。使用Wu & Smith模型模拟了风速值从0 m/s到50 m/s范围内的SSE光谱并转换为海表半球宽波段发射率，且纳入了白帽对海面发射率的影响，以此建立风速-SSE查找表。从MERRA-2再分析数据得出提取的10m高度处风速，以双线性内插的方式将风速降尺度至0.01°，插值查找表得到SSE，生成了1981年到2020年逐日正午12:30（UTC）时刻的SSE遥感数据产品。

Sea Surface Emissivity (SSE) and Sea Surface Temperature (SST) collectively determine sea surface thermal radiation and play a critical role in the global energy circulation system. Meanwhile, the accuracy of SSE is the primary factor limiting the retrieval accuracy of SST. Therefore, developing SSE simulation and inversion methods is of great significance for studies of Earth's surface radiation budget and global warming.
SSE is wavelength-dependent, and the 8–13.5 µm broadband emissivity is the optimal spectral range for calculating longwave net radiation. The Wu & Smith model was used to simulate SSE spectra over wind speeds ranging from 0 m/s to 50 m/s, convert them into sea surface hemispheric broadband emissivity, and incorporate the impact of whitecaps on sea surface emissivity, thereby establishing a wind speed-SSE lookup table. Wind speeds at 10 m height extracted from the MERRA-2 reanalysis dataset were bilinearly interpolated to a spatial resolution of 0.01°, and SSE was obtained by interpolating the lookup table. Finally, a daily SSE remote sensing data product at 12:30 UTC (noon) from 1981 to 2020 was generated.

搜集汇总

背景与挑战

背景概述

该数据集是1981年至2020年全球海洋的海表发射率（SSE）8天合成数据，空间分辨率为0.1度，基于MERRA-2风场数据和Wu & Smith模型算法生成，考虑了海沫效应，用于研究海表热辐射和全球能量循环。数据产品精度高，绝对偏差控制在0.005以内，适用于辐射预算和气候变化分析。