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Fengwei Wang
Postdoc
Geodesy

Educational Background:

2007.09-2011.06: Shandong University of Science and Technology, Surveying Engineering, Bachelor's degree.

2013.09-2016.06: Donghua University of Technology, Surveying Engineering, Master's degree.

2016.09-2021.06: Tongji University, Geodesy and Geomatics, Ph.D. degree.


Work Experience:

2021.07-Present: Postdoctoral Researcher, School of Ocean and Earth Sciences, Tongji University.

2011.07-2012.06: Cadre, Shandong Province Urban and Rural Survey and Design Institute.


Research Interests:

1.Research on Global and Regional Sea Level Change using Integrated Multi-source Data.

2.Analysis of Time-varying Gravity Field Models for Global and Regional Mass Redistribution.


Research Projects:

1.Detection of Time-varying Gravity Field and Mass Distribution Changes using GRACE-FO and Chinese Gravity Satellites (42061134010), Jan 2021 – Dec 2023, RMB 2.9 million, National Natural Science Foundation of China International Cooperation Project (China-Germany Collaboration), Participating researcher.

2.Theoretical and Methodological Study on Monitoring Global Gravity Field Changes by Integrating Various Low-Earth Orbit Satellite Data (41731069), Jan 2018 – Dec 2022, RMB 3.09 million, National Natural Science Foundation of China Key Project, Participating researcher.

3.Theoretical Research and Model Development of Two Spatial-Temporal Resolution Combined Gravity Fields Inverted from GRACE Data (41974002), Jan 2020 – Dec 2023, RMB 640,000, National Natural Science Foundation of China General Project, Participating researcher.

4.Research on Gravity Inversion Algorithm and New Earth Gravity Field Model Calculation Based on GRACE Data (41474017), Jan 2015 – Dec 2018, RMB 950,000, National Natural Science Foundation of China General Project, Participating researcher.

5.Weighted Spatiotemporal Filtering and Accuracy Evaluation Theory for Geodetic Data Sequences (41274035), Jan 2013 – Dec 2016, RMB 900,000, National Natural Science Foundation of China General Project, Participating researcher.

6.Application Research on Multi-scale Deformation Analysis Based on LMD Method (41374007), Jan 2014 – Dec 2017, RMB 880,000, National Natural Science Foundation of China General Project, Participating researcher.

7.Mechanism Study on Multi-scale Spatiotemporal Characteristics of Sea Level Change in Chinese Seas Based on LMD Method (42064001), Jan


Representative Papers:

1.Wang F., Shen Y., Chen Q., 2021. Reduced Misclosure of Global Sea-Level Budget Using New Released Tongji-Grace2018 Solution.Scientific Reports. doi: 10.1038/s41598-021-96880-w.

2.Wang F., Shen Y., Chen Q., Wang W., 2021. Bridging the Gap between GRACE and GRACE Follow-on Monthly Gravity Field Solutions using Improved Multichannel Singular Spectrum Analysis.Journal of Hydrology, 2021, 594(2021):125972. doi:10.1016/j.jhydrol.2021.125972.

3.Shen Y.,Wang F*., Chen Q., 2021, Weighted Multichannel Singular Spectrum Analysis for Post-processing GRACE Monthly Gravity Field Models by Considering the Formal Errors.Geophysical Journal International. doi: 10.1093/gji/ggab199.

4.Qiu X.,Wang F*., Zhou Y., Zhou S., 2021, Weighted empirical mode decomposition for processing GNSS position time series with the consideration of formal errors.Acta Geodynamica et Geomaterialia, 18(3):397-408. doi: 10.13168/AGG.2021.0028.

5.Wang F., Shen Y., Chen T., Chen Q., Li, W., 2020. Improved multi-channel singular spectrum analysis for post-processing GRACE monthly gravity field models.Geophysical Journal International, 223:825-839.

6.Wang F., Shen Y., Chen Q., Li W., 2019. A heuristic singular spectrum analysis method for suspended sediment concentration time series contaminated with multiplicative noise.Acta Geodaetica et Geophysic. doi:10.1007/s40328-019-00269-1.

7.Wang F., Shen Y., Li W., Chen Q., 2018. Singular spectrum analysis for heterogeneous time series by taking its formal errors into account.Acta Geodynamica et Geomaterialia,15(4), 395-403.

8.Wang W., Shen Y.,Wang F., 2021. GRACE-based Two Severe Prolonged Hydrological Drought Analysis over Australia Mainland.Remote Sensing.doi: 10.3390/rs13081432.

9.Feng T., Shen Y.,Wang F., 2021. Independent component extraction from the incomplete coordinate time series of regional GNSS networks.Sensors,21(1569):1-16.

10.Ji K., Shen Y.,Wang F., 2020. Signal Extraction from GNSS Position Time Series Using Weighted Wavelet Analysis,Remote Sensing,12, 992. doi: 10.3390/rs12060992.

11.Wang F, Zhou Y, Zhou S. Study on Methods for Improving LMD End Effect. Applied Mechanics and Materials, 2016, 851:559-566.

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