2010-2020年全球海洋1度海表盐度逐周数据

海表盐度SSS(Sea Surface Salinity)是更好地理解全球水循环和气候变化众多重要过程的关键因子。海表盐度和海表温度一起决定了表层海水的密度，进而影响了海洋水团和洋流的形成和流向。海洋表面的降水和蒸发是全球水循环的重要组成部分，而海表盐度是海面降水和蒸发效应的指示器。因此准确了解海表盐度对于全球气候变化和水循环监测、研究和预报是必不可少的。
对海表盐度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SMOS、SMAP和Aquarius等SSS多源遥感数据，生成了2010年~2020年全球海洋1°分辨率周均SSS遥感数据产品。

Sea Surface Salinity (SSS) is a key factor for better understanding numerous critical processes related to the global water cycle and climate change. Together with Sea Surface Temperature, sea surface salinity determines the density of surface seawater, which further affects the formation and flow of marine water masses and ocean currents. Precipitation and evaporation over the ocean are important components of the global water cycle, while sea surface salinity serves as an indicator of the effects of sea surface precipitation and evaporation. Therefore, accurate knowledge of sea surface salinity is indispensable for the monitoring, research, and forecasting of global climate change and the water cycle.

Multi-source remote sensing data of sea surface salinity were preprocessed and subjected to quality control. Based on the optimal interpolation method, multi-source SSS remote sensing data including SMOS, SMAP and Aquarius were used to generate a weekly averaged SSS remote sensing dataset with 1° spatial resolution covering the global ocean from 2010 to 2020.

搜集汇总

背景与挑战

背景概述

该数据集是2010年至2020年全球海洋的1度分辨率逐周海表盐度（SSS）数据产品，通过融合SMOS、SMAP和Aquarius等多源遥感数据，并采用最优插值方法生成，整体精度为0.23 psu。它旨在支持全球水循环和气候变化的关键过程监测与研究，为海洋科学和遥感领域提供重要基础数据。