Abstract This paper analyzes the capability of SWOT to monitor SLV in South China Sea using numerical simulation observations and ECCO2 model data. Based on the SWOT simulator, we comprehensively analyze the simulation errors of SWOT, in which phase error and roll error are dominant errors; generally the farther away from the nadir points, the larger the error. The root mean square error between SWOT and the truth value can be reduced from 4 cm to 2 cm after eliminating the error by spatial smoothing, which improves the reliability of the results. Further analysis indicates that the spatial pattern of SWOT error is mainly affected by the along-track observation mode and is independent of the original SLV signal amplitude. Then, we further analyze one track of SWOT with grid cell sizes of 10 km, respectively. The geostrophic current results show that the simulated results with a resolution of 10 km agree with the output of the ocean model better, while the result with 2 km interpolation is significantly affected by noise.
XUE Zhaonan,FENG Wei,CHEN Wei et al. Numerical Simulation of Sea Level Variations from SWOT Swath Altimetry Satellite: A Case Study in the South China Sea[J]. jgg, 2022, 42(12): 1250-1256.
XUE Zhaonan,FENG Wei,CHEN Wei et al. Numerical Simulation of Sea Level Variations from SWOT Swath Altimetry Satellite: A Case Study in the South China Sea[J]. jgg, 2022, 42(12): 1250-1256.