2009-2019印度洋三维温盐水文重构产品

采用模块化数据同化系统（MODAS）方法，基于逐日的全球遥感海面高度和海面温度融合产品，采用统计回归模型，重构印度洋逐日海洋三维温盐场。数据时间分辨率是一日；空间水平分辨率为四分之一，垂向从海面至2000米深分59层。

Adopting the Modular Data Assimilation System (MODAS) method, based on daily global remote-sensing blended products of sea surface height and sea surface temperature, and using a statistical regression model, this dataset reconstructs the daily 3-dimensional temperature-salinity field of the Indian Ocean. The temporal resolution of the dataset is 1 day; its spatial horizontal resolution is 1/4 degree, and it is divided into 59 vertical layers from the sea surface down to a depth of 2000 meters.

搜集汇总

背景与挑战

背景概述

该数据集是2009-2019年印度洋三维温盐水文重构产品，采用模块化数据同化系统方法，基于遥感数据重构了逐日海洋三维温盐场，具有高时间分辨率和多层次的垂向分辨率。