Evaluation of GRACE/GRACE Follow-On Time-Variable Gravity Field Models for Earthquake Detection above Mw8.0s in Spectral Domain
This study compares the Gravity Recovery And Climate Experiment (GRACE)/GRACE Follow-On (GFO) errors with the coseismic gravity variations generated by earthquakes above Mw8.0s that occurred during April 2002~June 2017 and evaluates the influence of monthly model errors on the coseismic signal detec...
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doaj-650aed48563645e2a6e1f2d3ca48458d2021-08-26T14:17:12ZengMDPI AGRemote Sensing2072-42922021-08-01133075307510.3390/rs13163075Evaluation of GRACE/GRACE Follow-On Time-Variable Gravity Field Models for Earthquake Detection above Mw8.0s in Spectral DomainMing Xu0Xiaoyun Wan1Runjing Chen2Yunlong Wu3Wenbing Wang4School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, ChinaSchool of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, ChinaSchool of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, ChinaKey Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, Wuhan 430071, ChinaTechnology and Engineering Centre for Space Utilization, Chinese Academy of Sciences, Beijing 100083, ChinaThis study compares the Gravity Recovery And Climate Experiment (GRACE)/GRACE Follow-On (GFO) errors with the coseismic gravity variations generated by earthquakes above Mw8.0s that occurred during April 2002~June 2017 and evaluates the influence of monthly model errors on the coseismic signal detection. The results show that the precision of GFO monthly models is approximately 38% higher than that of the GRACE monthly model and all the detected earthquakes have signal-to-noise ratio (SNR) larger than 1.8. The study concludes that the precision of the time-variable gravity fields should be improved by at least one order in order to detect all the coseismic gravity signals of earthquakes with M ≥ 8.0. By comparing the spectral intensity distribution of the GFO stack errors and the 2019 Mw8.0 Peru earthquake, it is found that the precision of the current GFO monthly model meets the requirement to detect the coseismic signal of the earthquake. However, due to the limited time length of the observations and the interference of the hydrological signal, the coseismic signals are, in practice, difficult to extract currently.https://www.mdpi.com/2072-4292/13/16/3075coseismic gravity changedegree varianceearthquakeGRACEmonthly time-variable field model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ming Xu Xiaoyun Wan Runjing Chen Yunlong Wu Wenbing Wang |
spellingShingle |
Ming Xu Xiaoyun Wan Runjing Chen Yunlong Wu Wenbing Wang Evaluation of GRACE/GRACE Follow-On Time-Variable Gravity Field Models for Earthquake Detection above Mw8.0s in Spectral Domain Remote Sensing coseismic gravity change degree variance earthquake GRACE monthly time-variable field model |
author_facet |
Ming Xu Xiaoyun Wan Runjing Chen Yunlong Wu Wenbing Wang |
author_sort |
Ming Xu |
title |
Evaluation of GRACE/GRACE Follow-On Time-Variable Gravity Field Models for Earthquake Detection above Mw8.0s in Spectral Domain |
title_short |
Evaluation of GRACE/GRACE Follow-On Time-Variable Gravity Field Models for Earthquake Detection above Mw8.0s in Spectral Domain |
title_full |
Evaluation of GRACE/GRACE Follow-On Time-Variable Gravity Field Models for Earthquake Detection above Mw8.0s in Spectral Domain |
title_fullStr |
Evaluation of GRACE/GRACE Follow-On Time-Variable Gravity Field Models for Earthquake Detection above Mw8.0s in Spectral Domain |
title_full_unstemmed |
Evaluation of GRACE/GRACE Follow-On Time-Variable Gravity Field Models for Earthquake Detection above Mw8.0s in Spectral Domain |
title_sort |
evaluation of grace/grace follow-on time-variable gravity field models for earthquake detection above mw8.0s in spectral domain |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2021-08-01 |
description |
This study compares the Gravity Recovery And Climate Experiment (GRACE)/GRACE Follow-On (GFO) errors with the coseismic gravity variations generated by earthquakes above Mw8.0s that occurred during April 2002~June 2017 and evaluates the influence of monthly model errors on the coseismic signal detection. The results show that the precision of GFO monthly models is approximately 38% higher than that of the GRACE monthly model and all the detected earthquakes have signal-to-noise ratio (SNR) larger than 1.8. The study concludes that the precision of the time-variable gravity fields should be improved by at least one order in order to detect all the coseismic gravity signals of earthquakes with M ≥ 8.0. By comparing the spectral intensity distribution of the GFO stack errors and the 2019 Mw8.0 Peru earthquake, it is found that the precision of the current GFO monthly model meets the requirement to detect the coseismic signal of the earthquake. However, due to the limited time length of the observations and the interference of the hydrological signal, the coseismic signals are, in practice, difficult to extract currently. |
topic |
coseismic gravity change degree variance earthquake GRACE monthly time-variable field model |
url |
https://www.mdpi.com/2072-4292/13/16/3075 |
work_keys_str_mv |
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