Fei YANG

Personal Information


Fei YANG

Associate Professor

Emailyangfei@cumtb.edu.cn

Research Interests

(1)  BDS/GNSS high-precision data processing and application

(2) BDS/GNSS meteorology (troposphere modeling and water vapor tomography)

(3) BDS/GNSS reflectometry and its application

(4) Monitoring and analysis of water environment in near Earth space using multi-source observations

Education/Work Background

2009.09-2013.06, School of Geodesy and Geomatics, Wuhan University, Bachelor;

2013.09-2016.06, School of Geodesy and Geomatics, Wuhan University, Master;

2017.09-2020.06, School of Geodesy and Geomatics, Wuhan University, PhD;

2020.07-2023.06, College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Lecturer;

2023.07-Now, College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Associate Professor;

Teaching Courses

Principle and Applications of GNSS

Data Structure

Applications of GNSS in Geoscience

Key Research Funding

[1]. Fei Yang. Research on optimal modeling and stable resolving of ground-based BDS/GNSS water vapor tomography. National Natural Science Foundation of China (No. 4220422), 2023-2025, PI

[2]. Fei Yang. Research on water vapor tomography based on ground-based BDS/GNSS in Beijing Winter Olympics. Beijing Natural Science Foundation (No. 8224093), 2022-2023, PI

[3]. Fei Yang. Research on ground-based GNSS water vapor tomography modeling and stable solution method based on parameters adaptive. China Postdoctoral Science Foundation (No. 2021M703510), 2021-2022, PI

[4]. Fei Yang. Research on GNSS water vapor tomography based on multi-source data.  Open fund of State Key Laboratory of Geodesy and Earth’s Dynamics (No. SKLGED2022-3-1), 2022-2023, PI

[5]. Fei Yang. Research on the correlation between the groundwater changes and the ecological restoration in mining areas using GRACE. Open Fund of State Key Laboratory of Coal Resources and Safe Mining (No. SKLCRSM21KFA08), 2021-2023, PI

Honors

2022.5, I was awarded the title of Excellent Teaching for Yong Teacher of China University of Mining and Technology-Beijing.

2022.7, I won the second prize in the National Young Teacher Lecture competition for Surveying and Mapping in Higher Education Institutions.

2023.7 I was awarded the title of Excellent Mentor in the National College Student Surveying and Mapping Innovation and Entrepreneurship Intelligence Competition.

Selected Publications

[1] Yang, F.*; Gong, X. et al. GNSS water vapor tomography based on Kalman filter with optimized noise covariance. GPS Solutions, 2023, 27, 181.

[2] Yang, F.*; Sun, Y. et al. Assessment of tomographic window and sampling rate effects on GNSS water vapor tomography. Satellite Navigation. 2023, 4, 7.

[3] Sun, Y.; Yang, F.*; Liu, M. et al. Evaluation of the weighted mean temperature over China using multiple reanalysis data and radiosonde. Atmospheric Research. 2023, 285, 106664.

[4] Yang, F.*; Wang, L. et al. A weighted mean temperature (Tm) augmentation method based on global latitude zone. GPS Solutions, 2022, 26, 141.

[5] Yang, F.*; Guo, J. et al. GGTm-Ts: a global grid model of weighted mean temperature (Tm) based on surface temperature (Ts) with two modes. Advances in Spaces Research. 2022, 71(3): 1510-1524.

[6] Yang, F.*; Wang, J. et al. Assessment of the Water Vapor Tomography Based on Four Navigation Satellite Systems and Their Various Combinations. Remote Sensing. 2022, 14, 3552.

[7] Yang, F.*; Guo, J. et al. A Regional Zenith Tropospheric Delay (ZTD) Model Based on GPT3 and ANN. Remote Sensing. 2021, 13, 838.

[8] Yang, F.*; et al. A Global Grid Model for Calibration of Zenith Hydrostatic Delay. Advances in Space Res. 2021, 68, 3574-3583.

[9] Yang, F.*, Guo J. et al. Assessment of the Troposphere Products Derived from VMF Data Server with EAR5 and IGS data over China. Earth and Space Science. 2021, e2021EA001815.

[10] Yang, F.*, et al. Establishment and Assessment of a ZWD Augmentation Model. GPS Solutions. 2021, 25: 148.

[11] Yang, F.*, Meng, X. et al. Development and Evaluation of the Refined ZTD models. Satellite Navigation. 2021, 2: 21.

[12] Yang, F.*; Guo, J. et al. A GPS water vapor tomography method based on a genetic algorithm. Atmos Meas Tech. 2020, 13, 355–371.

[13] Yang, F.*; Guo, J. et al. An improved weighted mean temperature model based on GPT2w with Tm lapse rate. GPS Solutions, 2020, 24, 46.