Volume 42 Issue 12
Dec.  2023
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Xuyang Wei, Xin Liu, Zhen Li, Xiaotao Chang, Hongxin Luo, Chengcheng Zhu, Jinyun Guo. Gravity anomalies determined from mean sea surface model data over the Gulf of Mexico[J]. Acta Oceanologica Sinica, 2023, 42(12): 39-50. doi: 10.1007/s13131-023-2178-6
Citation: Xuyang Wei, Xin Liu, Zhen Li, Xiaotao Chang, Hongxin Luo, Chengcheng Zhu, Jinyun Guo. Gravity anomalies determined from mean sea surface model data over the Gulf of Mexico[J]. Acta Oceanologica Sinica, 2023, 42(12): 39-50. doi: 10.1007/s13131-023-2178-6

Gravity anomalies determined from mean sea surface model data over the Gulf of Mexico

doi: 10.1007/s13131-023-2178-6
Funds:  The National Natural Science Foundation of China under contract Nos 42274006, 42174041 and 41774001; the Research Fund of University of Science and Technology under contract No. 2014TDJH101.
More Information
  • Corresponding author: E-mail: xinliu1969@126.com
  • Received Date: 2022-12-19
  • Accepted Date: 2023-02-28
  • Available Online: 2023-06-01
  • Publish Date: 2023-12-01
  • With the improvements in the density and quality of satellite altimetry data, a high-precision and high-resolution mean sea surface model containing abundant information regarding a marine gravity field can be calculated from long-time series multi-satellite altimeter data. Therefore, in this study, a method was proposed for determining marine gravity anomalies from a mean sea surface model. Taking the Gulf of Mexico (15°–32°N, 80°–100°W) as the study area and using a removal-recovery method, the residual gridded deflections of the vertical (DOVs) are calculated by combining the mean sea surface, mean dynamic topography, and XGM2019e_2159 geoid, and then using the inverse Vening-Meinesz method to determine the residual marine gravity anomalies from the residual gridded DOVs. Finally, residual gravity anomalies are added to the XGM2019e_2159 gravity anomalies to derive marine gravity anomaly models. In this study, the marine gravity anomalies were estimated with mean sea surface models CNES_CLS15MSS, DTU21MSS, and SDUST2020MSS and the mean dynamic topography models CNES_CLS18MDT and DTU22MDT. The accuracy of the marine gravity anomalies derived by the mean sea surface model was assessed based on ship-borne gravity data. The results show that the difference between the gravity anomalies derived by DTU21MSS and CNES_CLS18MDT and those of the ship-borne gravity data is optimal. With an increase in the distance from the coast, the difference between the gravity anomalies derived by mean sea surface models and ship-borne gravity data gradually decreases. The accuracy of the difference between the gravity anomalies derived by mean sea surface models and those from ship-borne gravity data are optimal at a depth of 3–4 km. The accuracy of the gravity anomalies derived by the mean sea surface model is high.
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