Multiple-data-based monthly geopotential model set LDCmgm90

Abstract

While the GRACE (Gravity Recovery and Climate Experiment) satellite mission is of great significance in understanding various branches of Earth sciences, the quality of GRACE monthly products can be unsatisfactory due to strong longitudinal stripe-pattern errors and other flaws. Based on corrected GRACE Mascon (mass concentration) gridded mass transport time series and updated LDCgam (Least Difference Combination global angular momenta) data, we present a new set of monthly gravity models called LDCmgm90, in the form of Stokes coefficients with order and degree both up to 90. The LDCgam inputs are developed by assimilating degree-2 Stokes coefficients from various versions of GRACE (including Mascon products) and SLR (Satellite Laser Ranging) monthly gravity data into combinations of outputs from various global atmospheric, oceanic, and hydrological circulation models, under the constraints of accurately measured Earth orientation parameters in the Least Difference Combination (LDC) scheme. Taking advantages of the relative strengths of the various input solutions, the LDCmgm90 is free of stripes and some other flaws of classical GRACE products.

Global Glacial Isostatic Adjustment Constrained by GPS Measurements: Spherical Harmonic Analyses of Uplifts and Geopotential Variations

“…Further, we derived the rates of Stokes coefficients based on the refined GIA uplift rates, as well as the accurate relationship between GIA uplift rates and gravitational potential changes proposed by Purcell et al [22]. The results may be used as a GIA correction to various GRACE monthly geopotential models, especially the high-accuracy Mascon products as released by Watkins et al [9], Wiese et al [10] and Save et al [11], and may help to generate an updated version of the multiple-data-based monthly geopotential model set LDCmgm90 as released by Chen et al [12].…”

“…Reliable . u GIA can be used to infer mantle viscosity, and δ .V GIA are necessary as a background model to correct the widely used Gravity Recovery and Climate Experiment (GRACE) monthly gravity solutions for these secular variations [9][10][11][12].Currently, the GIA-induced uplift rates can be obtained either from a certain GIA model [13][14][15] or from Global Positioning System (GPS) measurements [16]. However, the agreements between model-based and GPS-based results are usually limited due to a number of factors (some are discussed in the following sections).…”

“…V GIA are necessary as a background model to correct the widely used Gravity Recovery and Climate Experiment (GRACE) monthly gravity solutions for these secular variations [9][10][11][12].…”

“…See Table S2for the full table with coefficients with more digits up to degree and order 120.Remote Sens. 2020,12, 1209 …”

Drift of the Earth’s Principal Axes of Inertia from GRACE and Satellite Laser Ranging Data

“…The difference in the C 21 and S 21 derived rotation time series might be caused by the different handling of the mean pole in the CSR RL06 and the DGFI-TUM solution. Using different mean pole model could provoke a systematic long-term difference in the C 21 and S 21 time series [28][29][30][31]. The CSR RL06 solution is processed based on the new linear mean pole model, whereas the DGFI-TUM SLR time series is based on the conventional (cubic polynomial) mean pole model [26].…”