1991-2020年全球海洋0.1度海表温度逐日数据

海表温度（Sea Surface Temperature, SST）是表示海洋表面水层海水热状况的物理量，是表征地球气候系统状态的一个重要指标，作为海洋与大气的边界，常被用来进行数值天气预报和大气模型模拟，因此准确了解SST对于气候监测、研究和预报是必不可少的。
对SST多源遥感数据进行了预处理和质量控制，基于最优插值方法，利用WindSat、AMSR-E/AMSR2、GMI、HY-2A RM，AVHRR、MODIS、VIIRS 等SST遥感数据，生成了1991年~2020年全球海洋0.1°分辨率每日SST遥感数据产品。

Sea Surface Temperature (SST) is a physical quantity describing the thermal state of seawater in the ocean surface layer, and a critical indicator characterizing the status of the Earth's climate system. As the boundary between the ocean and the atmosphere, it is frequently utilized for numerical weather prediction and atmospheric model simulations. Therefore, accurate acquisition of SST data is indispensable for climate monitoring, research and forecasting.

Multi-source remote sensing SST data underwent preprocessing and quality control. Based on the optimal interpolation method, and using SST remote sensing data from sources including WindSat, AMSR-E/AMSR2, GMI, HY-2A RM, AVHRR, MODIS and VIIRS, a daily global ocean SST remote sensing product with a resolution of 0.1° from 1991 to 2020 was developed.

搜集汇总

背景与挑战

背景概述

该数据集提供了1991年至2020年全球海洋的逐日海表温度数据，空间分辨率为0.1度，基于多源卫星遥感数据（包括红外和微波辐射计）通过最优插值方法融合生成。数据集具有高时空分辨率，整体精度优于0.53°C，适用于气候监测、数值天气预报和海洋科学研究等应用。