Mean Dynamic Topography Modeling Based on Optimal Interpolation from Satellite Gravimetry and Altimetry Data

Mean dynamic topography (MDT) is crucial for research in oceanography and climatology. The optimal interpolation method (OIM) applied to MDT modeling, where the error variance–covariance information of observations established. global geopotential model (GGM) derived from GOCE (Gravity Field Steady-State Ocean Circulation Explorer) gravity data mean sea surface satellite altimetry are combined construct MDT. Numerical experiments Kuroshio over Japan show that use recently released GOCE-derived GGM derives a better compared previous models. solution computed based on sixth-generation illustrates lower level root square (77.0 mm) with ocean reanalysis data, which 2.4 mm (5.4 smaller than fifth-generation (fourth-generation) model. This accumulation updated preprocessing methods can be beneficial recovery. Moreover, results OIM outperforms Gaussian filtering approach, geostrophic velocity has misfit against buoy by magnitude 10 mm/s (17 mm/s) when zonal (meridional) component validated. mainly due input being used method, may obtain more reasonable weights method.