Zhenguo Wang Portrait of Zhenguo Wang

Ph.D. Student in Atmospheric Sciences

Zhenguo Wang

Department of Atmospheric and Oceanic Sciences · Fudan University ·

I develop physically interpretable machine-learning frameworks for reconstructing global ocean biogeochemical fields, with a focus on dissolved oxygen, surface-ocean pCO2, ocean deoxygenation, and carbon-oxygen coupling under climate change.

Education

2024-09 - Present

Fudan University

Ph.D. Student in Atmospheric Sciences

Department of Atmospheric and Oceanic Sciences.
GPA: 3.6/4.
Research direction: AI-driven ocean biogeochemical modeling and applications.

2021-09 - 2024-07

Aerospace Information Research Institute, Chinese Academy of Sciences

M.S. in Resources and Environment

GPA: 3.77/4.
Research direction: ocean spatiotemporal data mining.

2017-09 - 2021-06

China University of Petroleum (East China)

B.S. in Geographic Information Science

School of Oceanography and Space Informatics. Ranked 3/47 and recommended for graduate admission.

Research Themes

01

Ocean Oxygen Reconstruction

GEOXYGEN, Argo dissolved oxygen observations, and long-term reconstruction of global ocean oxygen change.

02

Surface-ocean pCO2 and Carbon Sink

FDU-BTR / OceanBTR, surface-ocean pCO2 reconstruction, and air-sea CO2 flux assessment.

03

Interpretable AI for Ocean Biogeochemistry

BTR residual learning, region-aware modeling, uncertainty diagnosis, and physically meaningful machine learning.

04

Carbon-Oxygen Coupling

Oxygen minimum zones, ocean deoxygenation, carbon sinks, and thermal-carbon-oxygen coupling mechanisms.

News / Updates

2026

GEOXYGEN paper published in ESSD

The GEOXYGEN global long-term dissolved oxygen dataset paper was published in Earth System Science Data.

Global average dissolved oxygen concentration in the ocean at depths of 0-800m (January 2020)
2023

Conference presentations and peer review

Presented at national conferences related to coastal remote sensing, geographic information science, and ocean data assimilation; served as a reviewer for Earth System Science Data.

Publications

Wang, Z., Fu, W., Xue, C., and Wang, G. (2026). GEOXYGEN: a global long-term dissolved oxygen dataset based on biogeochemistry-aware machine learning framework and multi-source observations. Earth System Science Data, 18, 3125-3146.

DOI Dataset

Wang, Z., Xue, C., and Ping, B. (2024). A reconstructing model based on time-space-depth partitioning for global ocean dissolved oxygen concentration. Remote Sensing, 16, 228.

DOI

Xue, C., Wang, Z., Yue, L., et al. (2024). A global four-dimensional gridded dataset of ocean dissolved oxygen concentration retrieval from Argo profiles. Geoscience Data Journal, 11(4), 775-789.

DOI Dataset

Yue, L., Xue, C., Wang, Z., and Niu, C. (2023). An Iterative Space-quality Interpolation Method for Marine Dissolved Oxygen Data Observed by Argo Floats. Journal of Geo-Information Science, 22.

DOI

Patents

Xue, C., Wang, Z., and Yue, L. Method for constructing an ocean dissolved oxygen concentration reconstruction model based on Argo temperature and salinity profiles. CN: 202310062810.9.

Xue, C., Yue, L., and Wang, Z. Method for constructing an Argo-based ocean dissolved oxygen spatial grid model. CN: 202211383915.6.

Research Projects

2022-08 - 2023-12

Core Member, SDG Center Innovation Research Program

Global Ocean Dissolved Oxygen Product and Deoxygenation Mechanism Analysis

Built Oracle-based ocean observation databases, developed machine-learning reconstruction models, produced a monthly global gridded dissolved oxygen dataset, and analyzed OMZ evolution and cross-variable relationships.

2018-02 - 2023-07

Member, CAS Strategic Priority Research Program

Remote Sensing Monitoring System for Global Ocean Anomaly Processes

Contributed to marine multi-variable spatiotemporal datasets, dataset validation, batch processing workflows, method integration, and monitoring system development.

Skills

Python Proficient
Machine / Deep Learning Proficient
MATLAB Proficient
SQL Proficient
GIS / Remote Sensing Tools Proficient
HTML / JavaScript Basic

Programming and Data

Python, MATLAB, SQL, Oracle, and spatial data processing.

Machine Learning

Machine learning and deep learning methods for ocean data reconstruction and analysis.

GIS and Remote Sensing

ArcGIS, QGIS, ENVI, GIS spatial analysis, and remote sensing image processing.

Certificates

CET-6; National Computer Rank Examination Level 2.

Selected Honors

Academic and Research Honors

  • National Encouragement Scholarship
  • Excellent Doctoral Academic Scholarship, Fudan University, 2024-2025
  • Science and Technology Innovation Scholarship
  • Second Prize, Qingdao Innovation Surveying Skills Competition
  • Third Prize, University ACM Programming Contest
  • Outstanding Undergraduate Thesis, university level
  • Outstanding Presentation, 1st National Coastal Zone Remote Sensing Conference, 2023

Activities

Academic Talks

Conference Presentations

  • The 1st National Coastal Zone Remote Sensing Conference;
  • The 18th China Geographic Information Science Theory and Method Academic Conference;
  • The 17th National Ocean Data Assimilation Conference.
Peer Review

Journal Review

  • Served as a reviewer for one manuscript submitted to Earth System Science Data.
Student Work

Student Leadership

  • Deputy Minister of the Practice Department, Student Union of the College of Earth Science and Technology, 2018-2019;
  • Vice President of the 3S Association, University Science and Technology Innovation Union, 2018-2019;
  • Captain of the Ocean College Long-distance Running Team, 2019-2021.

Beyond Research

I enjoy badminton, running, hiking, and fitness training.

  • 3rd place, 3000 m steeplechase, UPC Sports Meeting, 2019; 11'27''
  • Men's doubles and mixed doubles champion, AIRCAS Graduate Badminton Competition, 2023
  • Top 16, men's doubles, 7th Fudan Badminton Open, 2025
  • Men's doubles champion, Fudan Department of Atmospheric and Oceanic Sciences Teacher-Student Badminton Match, 2025
Badminton
Hiking
Running
Fitness

Contact

Efficiency is doing things right; effectiveness is doing the right things. -Peter F. Drucker

Email:

Institution: Department of Atmospheric and Oceanic Sciences, Fudan University

Location: Shanghai, China