Computation of GRACE Atmospheric De-Aliasing Models Using ERA-Interim Data

This paper focuses on using ERA-Interim atmosphere data and de-smoothing spherical harmonic analysis method to compute Gravity Recovery And Climate Experiment atmospheric de-aliasing models based on pressure jumps found in the European Centre for Medium-range Weather Forecast operational analysis atmosphere data, resulting from change of horizontal and vertical resolution, The computed model and the Atmospheric and Oceanic De-aliasing level 1B RL05 atmospheric model are compared, in view of the spectral and spatial domains. The Principal Component Analysis method was used to do the comparison. Moreover, the Root Mean Square of the range rate residuals was also used as a criterion to evaluate the quality of these two models. The results show that the two models have similar precision. The differences between these two models is negligible when computing GRACE temporal gravity field models, but the difference should be considered when computing next generation satellite temporal gravity field models.