Evaluation of CNES RL05 by AI and prospects for a sixth re-iteration

Since December 2019, CNES is producing its fifth release of GRACE and GRACE-FO time-variable gravity solutions. This presentation will provide an update on the evolution of processing since last year and on the prospect of a new reprocessing in 2025, based on the new FES2022 barotropic tide model that recently became available and on the update of the TUGO ocean dealiasing model by the LEGOS/CLS team.Furthermore, in order to characterize as objectively as possible the quality of the time-variable gravity field solutions produced by the different groups involved in the GRACE/GRACE-FO processing, a software for detecting defects in the solutions by supervised artificial intelligence methods was developed for CNES by the company Magellium. A description of the algorithms used (Random Forest and Convolutional Neural Network) will be presented, as well as the performance indices obtained for the CNES solution and, we hope, for a set of other solutions.