Modeling the Recovery of the Earth's Gravitational Field from Satellite Measurements Using Parallel Computations
DOI:
https://doi.org/10.14529/jsfi240103Keywords:
Earth's gravity field, space gravimetry, gravity field recovery, parallel computationsAbstract
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.
References
Abich, K., Abramovici, A., Amparan, B., et al.: In-Orbit Performance of the GRACE Follow-on Laser Ranging Interferometer. Phys. Rev. Lett. 123, 031101 (Jul 2019). https://doi.org/10.1103/PhysRevLett.123.031101
Albertella, A., Migliaccio, F., Sans, F.: GOCE: The Earth Gravity Field by Space Gradiometry. Celestial Mechanics and Dynamical Astronomy 83, 1–15 (05 2002). https://doi.org/10.1023/A:1020104624752
Anderson, E., Bai, Z., Bischof, C., Blackford, S., et al.: LAPACK Users’ Guide. Society for Industrial and Applied Mathematics, Philadelphia, PA, third edn. (1999)
AVISO: Global tide FES 2014 Description. https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/global-tide-fes/description-fes2014.html
Belikov, M.V., Taibatorov, K.A.: Efficient algorithm for calculating the Earth’s gravitational potential and its first derivatives for solving satellite problems. Kinematics and physics of celestial bodies (in Russian) 6(2), 24–32 (1990)
Carr`ere, L., Lyard, F.H., Cancet, M., Guillot, A.: FES 2014, a new tidal model on the global ocean with enhanced accuracy in shallow seas and in the Arctic region. In: Geophysical Research Abstracts (2015), https://api.semanticscholar.org/CorpusID:218081284
Chandra, R., Dagum, L., Kohr, D., et al.: Parallel programming in OpenMP. Morgan Kaufmann (2001)
Ince, E.S., Barthelmes, F., Reißland, S., et al.: ICGEM – 15 years of successful collection and distribution of global gravitational models, associated services, and future plans. Earth System Science Data 11(2), 647–674 (2019). https://doi.org/10.5194/essd-11-647-2019
Kornfeld, R.P., Arnold, B.W., Gross, M.A., et al.: GRACE-FO: The Gravity Recovery and Climate Experiment Follow-On Mission. Journal of Spacecraft and Rockets 56(3), 931–951 (2019). https://doi.org/10.2514/1.A34326
Kvas, A., Behzadpour, S., Ellmer, M., et al.: ITSG-Grace2018: Overview and Evaluation of a New GRACE-Only Gravity Field Time Series. Journal of Geophysical Research: Solid Earth 124(8), 9332–9344 (2019). https://doi.org/10.1029/2019JB017415
Landerer, F.W., Flechtner, F.M., Save, H., et al.: Extending the Global Mass Change Data Record: GRACE Follow-On Instrument and Science Data Performance. Geophysical Research Lette