Bridging data gaps in Earth's gravity field from integrating GRACE, GRACE-FO, and Swarm data: Case study in Africa

IF 3.7 3区 地球科学 Q2 ENVIRONMENTAL SCIENCES Egyptian Journal of Remote Sensing and Space Sciences Pub Date : 2024-05-08 DOI:10.1016/j.ejrs.2024.04.003
Hussein A. Mohasseb , Wenbin Shen , Jiashuang Jiao
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Abstract

The GRACE and GRACE Follow-On (GFO) missions, led by American and German teams, along with the European mission Swarm, have revolutionized the study of Earth's dynamic gravity field through precise measurements. Our objective is to fill the data GRACE gaps and the gap between GRACE and GFO missions using Swarm data, focusing on Africa. We utilized data from GRACE processing centers (CSR, GFZ, and JPL), Swarm data from the Czech Academy of Sciences (ASU) and the International Combination Service for Time-variable Gravity (COST-G), QF, as well as IGG data. Both frequency and space domains were examined, evaluating Potential Degree Variances (PDV), harmonic coefficients, Terrestrial Water Storage (TWS), gravity anomaly, and potential/geoid using GRACE, GFO, and Swarm. Results indicated agreement among processing centers for potential degree variances, gravity anomaly, and geoid undulation. However, discrepancies were observed in harmonic coefficients and TWS. To address this, we employed parametric least square adjustment to estimate new Swarm-modified coefficients, selecting Swarm ASU and GRACE/GFO CSR data. Comparison of Singular Spectrum Analysis method (SSA), IGG, and Swarm-modified SHCs during the data gap period exhibited correlation coefficients exceeding 0.86. Overall, the new coefficients significantly improved agreement between original GRACE coefficients and modified coefficients in all aspects.

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通过整合 GRACE、GRACE-FO 和 Swarm 数据弥合地球重力场数据差距:非洲案例研究
由美国和德国团队领导的 GRACE 和 GRACE 后续任务(GFO)以及欧洲的 Swarm 任务,通过精确测量彻底改变了对地球动态重力场的研究。我们的目标是利用 Swarm 数据填补 GRACE 数据缺口以及 GRACE 和 GFO 任务之间的缺口,重点是非洲。我们利用了 GRACE 处理中心(CSR、GFZ 和 JPL)的数据、捷克科学院(ASU)和国际时变重力组合服务(COST-G)的 Swarm 数据、QF 以及 IGG 数据。利用 GRACE、GFO 和 Swarm 对频域和空域进行了检查,评估了势度方差 (PDV)、谐波系数、陆地储水量 (TWS)、重力异常以及势/地磁。结果表明,各处理中心在电位差、重力异常和大地水准面起伏方面的结果一致。但是,在谐波系数和第三世界卫星方面发现了差异。为了解决这个问题,我们采用参数最小平方调整来估计新的 Swarm 修正系数,选择 Swarm ASU 和 GRACE/GFO CSR 数据。在数据空白期,对奇异谱分析方法(SSA)、IGG 和 Swarm 修正的 SHC 进行比较,发现相关系数超过 0.86。总体而言,新系数大大提高了原始 GRACE 系数与修改后系数在各方面的一致性。
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来源期刊
CiteScore
8.10
自引率
0.00%
发文量
85
审稿时长
48 weeks
期刊介绍: The Egyptian Journal of Remote Sensing and Space Sciences (EJRS) encompasses a comprehensive range of topics within Remote Sensing, Geographic Information Systems (GIS), planetary geology, and space technology development, including theories, applications, and modeling. EJRS aims to disseminate high-quality, peer-reviewed research focusing on the advancement of remote sensing and GIS technologies and their practical applications for effective planning, sustainable development, and environmental resource conservation. The journal particularly welcomes innovative papers with broad scientific appeal.
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