Resume

Name:  XU Xinyu

Title:   Professor

Phone:  027-68771783

Fax:    027-68778371

Email:  xyxu@sgg.whu.edu.cn

 

 

Education 

Ph.D., School of Geodesy and Geomatics, Wuhan University, Wuhan, 2008

M.S., School of Geodesy and Geomatics, Wuhan University, Wuhan, 2004

B.S., School of Geodesy and Geomatics, Wuhan University, Wuhan, 2001

Academic positions

2008-2011, Lecturer, School of Geodesy and Geomatics, Wuhan University

2009-2010, Visiting Scholar, Institute of Geodesy, Universität Stuttgart.

2012-2020, Associate Professor, School of Geodesy and Geomatics, Wuhan University

2021-present, Professor, School of Geodesy and Geomatics, Wuhan University

Research Interests

The determination of high resolution global gravity field model from multi-gravity data (e.g., satellite gravity, ground gravity, airborne gravity, marine gravity, topography model, crust et al.) and its applications.

 

Selected Publications

  • Wei, H.; Li, J.; Xu, X*.; Zhang, S.; Kuang, K. A Second‐ Order Time‐Difference Position Constrained Reduced‐Dynamic Technique for the Precise Orbit Determination of LEOs Using GPS. Remote Sens. 2021, 13, 3033. https:// doi.org/10.3390/rs13153033
  • Wei Liang, Jiancheng Li, Xinyu Xu*, Shengjun Zhang , Yongqi Zhao. (2020) A high-resolution Earth’s gravity field model SGG-UGM-2 from GOCE, GRACE, satellite altimetry and EGM2008. Engineering. 6 (2020) 860–878. https://doi.org/10.1016/j.eng.2020.05.008
  • LIU Huanling, WEN Hanjiang, XU Xinyu*, ZHAO Yongqi, CAI Jianqing. TorusTapproach in high degree gravity field model determination from GOCE satellite gradiometry observations, Acta Geodaetica et Cartographica Sinica (in Chinese). 2020,49(8):965G973.DOI:10.11947/j.AGCS.2020.20200044.
  • Liang, W., Pail, R., Xu, X.*, Li, J. A new method of improving global geopotential models regionally using gnss/leveling data. Geophys. J. Int. (2020) 221, 542–549; https://doi.org/10.1093/gji/ggaa047
  • Ding, H., Pan, Y. J., Xu, X. Y.*, Shen, W., & Li, M. (2019). Application of the AR-z spectrum to polar motion: A possible first detection of the inner core wobble and its implications for the density of Earth’s core. Geophysical Research Letters, 46. https://doi.org/10.1029/ 2019GL085268
  • Xu, X.; Ding, H.; Zhao, Y.; Li, J.; Hu, M. GOCE-Derived Coseismic Gravity Gradient Changes Caused by the 2011 Tohoku-Oki Earthquake. Remote Sens. 2019, 11, 1295.
  • Wu, T.; Li, J.; Xu, X.*; Wei, H.; Kuang, K.; Zhao, Y. Gravity Field Model Determination Based on GOCE Satellite Point-Wise Accelerations Estimated from Onboard Carrier Phase Observations. Remote Sens. 2019, 11, 1420.
  • Zhao QL, Xu, XY*, Forsberg R, et al. Improvement of Downward Continuation Values of Airborne Gravity Data in Taiwan [J]. Remote Sensing, 2018, 10(12).
  • XU XinYu, JIANG WeiPing, ZHANG XiaoMin et al. Ability of recovering the global gravity field of a new satellite gravimetry system. Chinese Journal of Geophysics (in Chinese), 2018, 61(6): 2227-2236, doi: 10.6038/cjg2018L0270
  • LIANG Wei, XU Xinyu*, LI Jiancheng, et al. The Determination of an Ultra-high Gravity Field Model SGG-UGM-1 by Combining EGM2008 Gravity Anomaly and GOCE Observation Data. Acta Geodaetica et Cartographica Sinica (in Chinese), 2018, 47 (4):425-434. DOI:10.11947/j.AGCS.2018.20170269.（http://doi.org/10.5880/icgem.2018.001）
  • Xinyu Xu, Yongqi Zhao, Tilo Reubelt, Robert Tenzer. A GOCE only gravity model GOSG01S and the validation of GOCE related satellite gravity models. Geodesy and Geodynamics. 2017, 8 (4): 260-272（http://doi.org/10.5880/icgem.2018.002）
  • LI Jiancheng,XU Xinyu*, ZHAO Yongqi, WAN Xiaoyun. Semi-Analytical Approach for Determining Satellite Gravity Model from GOCE Gravitational Gradient Tensor Invariant Observations. Geomatics and Information Science of Wuhan University (in Chinese), 2016,01:21-26.
  • XU Xinyu, ZHAO Yongqi, WEI Hui. Calibration and Analysis of SGG Observations of GOCE Based on Prior Gravity Models, Acta Geodaetica et Cartographica Sinica (in Chinese), 2015, 44 (11):
  • ZHAO Qian, JIANG WeiPing, XU XinYu, ZOU XianCai. Feasibility study on application of satellite formations for eliminating the influence from aliasing error of ocean tide model;Science China Earth Sciences;2015, 03