SODA多个版本的全球海洋的海-气通量再分析数据集

SODA海洋气候变量再分析数据集由全球简单海洋资料同化分析系统（Simple Ocean Data Assimilation）产生。该同化系统是由美国马里兰大学（University of Maryland）于20世纪90年代初开始研制的。其目的是为气候研究提供一套与大气再分析资料相匹配的海洋再分析资料。随着同化系统的不断开发与升级以及不同的试验方案，SODA前后释放了多个版本数据集。其中，SODA 2.2.4是第一套同化超过100年（1871—2008年）并使用了21世纪V2.0再分析（20Crv2）风场资料的数据集，是由美国马里兰大学（UMD）和美国德州农工大学（TAMU）共同研制开发的，包括40层较高分辨率（0.5°×0.5°）的月平均变量：海洋温度、盐度、海平面高度、风应力、洋流速度。SODA 2.2.4的释放目的是期望得到更多的检验机会。
务必注意，SODA是致力于改进上层海洋的再分析，所以1 000 m以下的数据需要慎重使用。另外，SODA再分析数据集共提供3种类型的变量：① 可由观测数据直接获得的变量（如海表温度）；② 与观测变量有很强的动力关系且直接受到其影响的变量（如海平面高度）；③ 没有严格受控于观测数据和动力关系的变量（如深海温度、盐度和流速）。因此，第三种变量的数据资料也需要慎重使用。

The SODA (Simple Ocean Data Assimilation) marine climatic variable reanalysis dataset is generated by the Global Simple Ocean Data Assimilation system. This assimilation system was initially developed by the University of Maryland in the early 1990s, with the aim of providing a set of ocean reanalysis data consistent with atmospheric reanalysis datasets for climate research. With continuous development, upgrades and various experimental schemes of the assimilation system, multiple versions of the SODA dataset have been released over time. Among them, SODA 2.2.4 is the first dataset that assimilates over 100 years of data (1871–2008) and uses wind field data from the 21st Century Reanalysis Version 2.0 (20Crv2). It was jointly developed by the University of Maryland (UMD) and Texas A&M University (TAMU), and includes monthly mean variables at 40 layers with a relatively high resolution of 0.5°×0.5°: seawater temperature, salinity, sea level height, wind stress, and ocean current velocity. The release of SODA 2.2.4 is intended to obtain more validation opportunities.
It should be noted that SODA focuses on improving the reanalysis of the upper ocean, so data below 1000 m should be used with caution. In addition, the SODA reanalysis dataset provides three categories of variables: 1. Variables that can be directly obtained from observational data (e.g., sea surface temperature); 2. Variables that have a strong dynamic correlation with observational variables and are directly affected by them (e.g., sea level height); 3. Variables that are not strictly constrained by observational data and dynamic relationships (e.g., deep-sea temperature, salinity, and current velocity). Therefore, the data of the third category of variables should also be used with caution.

搜集汇总

背景与挑战

背景概述

该数据集是由美国马里兰大学和德州农工大学共同研制的全球海洋海-气通量再分析数据集，包含多个版本，其中SODA 2.2.4是同化超过100年的高分辨率（0.5°×0.5°）月平均变量数据集。数据集提供了三种类型的变量，但深海温度、盐度和流速等变量需谨慎使用，数据格式为NetCDF，覆盖全球范围。