The National Centers for Environmental Prediction (NCEP) and the Indian National Centre for Ocean Information Services (INCOIS) produce global ocean analyses based on the Global Ocean Data Assimilation System (GODAS). This system uses a state of the art ocean general circulation model named moduler ocean model (MOM) and the 3D-Variational (3DVar) data assimilation technique. In this study we have evaluated the INCOIS-GODAS operational analysis products with an upgrade of the physical model from MOM4p0d to MOM4p1. Two experiments were performed with same atmospheric forcing fields:(i) using MOM4p0d (GODAS_p0), and (ii) using MOM4p1 (GODAS_p1). Observed temperature and salinity profiles were assimilated in both experiments. Validation with independent observations show improvement of sea surface temperature(SST), sea surface salinity (SSS) and surface currents in the new analysis GODAS_p1 as compared to the old analysis GODAS_p0.

国家环境预测中心（NCEP）和印度国家海洋信息服务中心（INCOIS）根据全球海洋数据同化系统进行全球海洋分析（GODAS）。该系统使用了最先进的海洋总环流模型，即模块海洋模型（MOM）和3D变化（3DVar）数据同化技术。在这项研究中，我们评估了INCOIS-GODAS运营分析产品，并将物理模型从MOM4p0d升级到MOM4p1。在相同的大气强迫场下进行了两个实验：（i）使用MOM4p0d（GODAS_p0），和（ii）使用MOM4p1（GODAS_p1）。在两个实验中都将观察到的温度和盐度分布图同化。独立观测值的验证表明，与旧分析GODAS_p0相比，新分析GODAS_p1中的海面温度（SST），海面盐度（SSS）和地表电流有所改善。