Modeling the Recovery of the Earth's Gravitational Field from Satellite Measurements Using Parallel Computations

Global models of the Earth's gravitational field, built from data collected by space geodetic missions, play a very important role in studying global processes across Earth's various geospheres. The paper is devoted to the development of a program for the recovery of the Earth's gravity field parameters. This program will enable in the future to process the results of measurements from the Russian satellite constellation and to build gravity field models of different spatial and temporal resolution. The recovery of the gravity field from satellite measurements is a rather resourceconsuming computational process, and parallel computations are crucial for its optimization. This paper describes the mathematical model, the algorithm and the results of parallelization, as well as presents the results of the gravity field recovery using parallel computations working with real measurement data. The static model of the Earth's gravitational field MSU2024-1 was built using the GRACE-FO mission data for the whole year 2021. The model is decomposed to degrees and orders of n = m = 120 and presented in terms of geoid heights. We also compared the EGF recovery on a monthly interval using the GRACE-FO data obtained in this work with the CSR, GFZ, and JPL temporal models built at other world centers.