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个人简介

万晓云,工学博士,教授,博士生导师。长期从事卫星重力、卫星测高、多源融合导航研究。先后主持国家自然科学基金(3项)以及企事业委托项目等共计10余项,在《Earth System Science Data》、《Surveys in Geophysics》、《Journal of Geophysical Research》、《Journal of Geodesy》、《Geophysical Journal International》等期刊发表SCI论文38篇、EI论文16篇,其中第一或通讯作者作者SCI论文28篇、EI论文8篇,以第一完成人授权发明专利4项、软件著作权3项,为《导航定位与授时》青年编委以及《Surveys in Geophysics》、《IEEE TGRS》、《Geomorphology》等22个SCI期刊、3个EI期刊审稿专家和国家自然科学基金涵评专家,以第一完成人获中国测绘科技进步二等奖1项,2020年度获中国测绘学会青年测绘地理信息创新人才奖。 教育与工作履历 2024.1-至今 中国地质大学(北京) 教授、博导 2020.1-2023.12 中国地质大学(北京) 副教授、博导 2018.7-2019.12 中国地质大学(北京) 高工 2015.9-2018.6 中国空间技术研究院 高工 2013.8-2015.8 中国空间技术研究院 工程师 2008.9-2013.7 中国科学院大学地球科学学院 硕博连读,获工学博士学位 2004.9-2008.6 武汉大学测绘学院 本科,获工学学士学位 科研奖励 2020年10月获中国测绘学会“2020年青年测绘地理信息科技创新人才奖” 2020年10月指导学生获评中国地球科学联合会学生优秀论文 2020年8月获北京测绘学会“青年科技领军人才” 2019年10月获中国测绘科技进步奖二等奖(排名1) 2017年被评为中国空间技术研究院研发创新先进个人 2012年获得地球物理年会学生优秀论文 2012年全国博士生论坛(测绘科学与技术)优秀报告 2011年获得大地测量年会优秀论文 其他荣誉 2022年度获评“中国地质大学(北京)来华留学生优秀指导教师”; 2020年度被评为《武汉大学学报.信息科学版》优秀审稿专家; 2013年被评为北京市优秀毕业生、中国科学院大学优秀毕业生; 2008年被评为武汉大学优秀毕业生。

研究领域

1. 深浅海水深反演及水下组合导航 2. 行星大地测量---物理场探测及深空导航 3. 水储量变化探测及生态响应研究

近期论文

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Annan R.F., Wan X*., Hao R., Wang F. Global Marine Gravity Gradient Tensor Inverted from Altimetry-derived Deflection of the Vertical: CUGB2023GRAD. Earth System Science Data, 2024 (Accepted, SCI, 通讯作者) Wan X., Annan R.F., Yao Ziggah. Altimetry-derived Gravity Gradients using Spectral Method and Their Performance in Bathymetry Inversion using Back-Propagation Neural Network,Journal of Geophysical Research:Solid Earth, 2023, https://doi.org/10.1029/2022JB025785(SCI) Hao, R., Wan, X.*, Annan R.F. Enhanced Short-wavelength Marine Gravity Anomaly Using Depth Data. IEEE Transactions on Geoscience and Remote Sensing, 2023. DOI: 10.1109/TGRS.2023.3242967 (SCI,通讯作者) Wan, X., Hao, R., Jia Y, et al., Global marine gravity anomalies from multi-satellite altimeter data.Earth, Planets and Space,2022,DOI: 10.1186/s40623-022-01720-4 (SCI) Annan R.F., Wan X*. Recovering Bathymetry of the Gulf of Guinea using Altimetry-derived Gravity Field Products Combined via Convolutional Neural Network. Surveys in Geophyics. 2022. https://doi.org/10.1007/s10712-022-09720-5(SCI,通讯作者) Zeng, X., Wan, X*., Lin, M., et al. Gravity field forward modeling using tesseroids accelerated by Taylor series expansion and equivalence relations. Geophysical Journal International. 2022, 230(3):1565-1584. (SCI,通讯作者) Wan, X.; Wang, F.; Guo, H.; Liu, B. Impact of Errors in Environmental Correction on Gravity Field Recovery Using Interferometric Radar Altimeter Observations. Remote Sens. 2022, 14, 6299. https://doi.org/10.3390/rs14246299 (SCI) Wan, X., Wang, H., Jia, Y., Ma, W. Performance of Haiyang-2 derived gravity field products in bathymetry inversion. Remote Sensing, 2023, 15, 32. https://doi.org/10.3390/rs15010032 . (SCI) Wei Z., Wan, X*.,Spatial and Temporal Characteristics of NDVI in the Weihe River Basin and Its Correlation with Terrestrial Water Storage. Remote Sens. 2022, 14, 5532. https://doi.org/10.3390/rs14215532(SCI,通讯作者) Djessou, R.D.; Wan, X*.; Yi, S.; Annan, R.F.; Su, X.; Wang, S. Water Storage Variation and Its Possible Causes Detected by GRACE in the Volta River Basin. Remote Sens. 2022, 14, 5319. https://doi.org/10.3390/rs14215319(SCI,通讯作者) Yuan, H., Wan, X*., Wu, Y*., et al. Evaluation of recent ultra-high degree gravity field models by ground gravity data: A case study of Eastern Tibetan Plateau. Terrestrial, Atmospheric and Oceanic Sciences. 2022, 33(14 ). https://doi.org/10.1007/s44195-022-00014-2(SCI,通讯作者) Wan, X., Liu, B., Sui, X., et al. Bathymetry inversion using the deflection of the vertical: A case study in South China Sea, Geodesy and Geodynamics, 2022, 1674-9847, https://doi.org/10.1016/j.geog.2022.03.003. Hao, R., Wan, X*; Wang, Y., Annan R.F., Sui X. Evaluation of four global bathymetry models by shipborne depths data. Journal of Surveying Engineering.2021. 148(2),doi:10.1061/(ASCE)SU.1943-5428.0000392.(SCI,通讯作者) Xu, M., Wan, X.*, Chen, R., Wu, Y., Wang, W. Evaluation of GRACE/GRACE Follow-On Time-Variable Gravity Field Models for Earthquake Detection above Mw8.0s in Spectral Domain. Remote Sensing. 2021; 13(16):3075. https://doi.org/10.3390/rs13163075 (SCI,通讯作者) Wan, X., Yu, J., Liang, L., Ran, J., Annan, R.F. Analysis of Limitations on Recovery of Gravity Field Based on Satellite Gravity Gradient Data. Geodesy and Geodynamics. 2021,12:31-42(中科院四区) Wan, X., Annan, R.F. & Wang, W. Assessment of HY-2A GM data by deriving the gravity field and bathymetry over the Gulf of Guinea. Earth Planets Space 72, 2020,151. https://doi.org/10.1186/s40623-020-01291-2 (SCI) Wan, X.,Annan R.F., Jin,S., Gong, X. Vertical deflections and gravity disturbances derived from HY-2A data. Remote Sensing. 2020, 12(14), 2287; doi.org/10.3390/rs12142287 (SCI) Wan, X., Jin, S., Liu, B., et al. Effects of InSAR Altimetry Errors on Marine Gravity Field Inversion. Sensors,2020, 20(9), 2465; doi.org/10.3390/s20092465 (SCI) Wan, X., Ran, J., Jin, S. Sensitivity analysis of gravity anomalies and vertical gravity gradient data for bathymetry inversion, Mar. Geophys. Res., 2019 40(1), 87-96, doi: 10.1007/s11001-018-9361-8 (SCI) Wan, X., Ran, J. An alternative method to improve gravity field models by incorporating GOCE gradient data. Earth Sciences Research Journal. 2018,22(3):187-193(SCI) Xiang, X., Wan, X.*., Zhang Running, et al. Bathymetry Inversion with the Gravity-Geologic Method: A Study of Long-Wavelength Gravity Modeling Based on Adaptive Mesh. Marine Geodesy, 2017, doi.org/10.1080/01490419.2017.1335257. (通讯作者,SCI) Wan X., Yu J. Derivation of the radial gradient of the gravity based on non-full tensor satellite gravity gradients[J]. Journal of Geodynamics, 2013, 66:59-64. (SCI) Wan X., Yu J., Zeng Y. Frequency analysis and filtering of gravity gradient data. CHINESE JOURNAL OF GEOPHYSICS, 55(5), 2012: 530-538(万晓云,于锦海,曾艳艳. GOCE引力梯度的频谱分析及滤波[J].地球物理学报, 2012, (9): 2909-2916,doi: 10.6038/j.issn.0001-5733.2012.09.010(SCI)) 万晓云,于锦海.由GOCE引力场模型和CNES-CLS2010平均海面高计算的稳态海面地形 [J],地球物理学报,2013,56 (6):1850~1856. (SCI) Sui, X. , Zhang, R. , Wu, F. , Li, Y. , & Wan, X*. Sea surface height measuring using insar altimeter.[J] Geodesy and Geodynamics.,2017.https://doi.org/10.1016/j.geog.2017.03.005 (中科院四区收录,通讯作者) Wan X., Yu J. Navigation Using Invariants of Gravity Vectors and Gravity Gradients. In: Sun J., Jiao W., Wu H., Lu M. (eds) China Satellite Navigation Conference (CSNC) 2014 Proceedings: Volume III. Lecture Notes in Electrical Engineering, 2014, vol 305. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54740-9_42 (EI)

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