Ph.D. Student in Atmospheric Sciences

Zhenguo Wang

Department of Atmospheric and Oceanic Sciences · Fudan University · zgwang24@m.fudan.edu.cn

AI-driven ocean biogeochemical modeling and applications, ocean spatiotemporal data mining, dissolved oxygen and pCO₂ reconstruction, marine carbon cycle, remote sensing, GIS, and gridded data product development.

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

AI-driven ocean biogeochemical modeling and applications
Ocean dissolved oxygen and pCO₂ reconstruction and change assessment
Ocean spatiotemporal data mining and gridded data product development
OMZ evolution and multi-variable coupling mechanisms, including carbon fluxes
Ocean remote sensing, GIS, and environmental monitoring system development

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

Outputs

GEOXYGEN Dissolved Oxygen Concentration Dataset

Developed and released the GEOXYGEN global long-term dissolved oxygen dataset.

Topics: dissolved oxygen, gridded ocean data, biogeochemistry-aware machine learning

Dataset Related post

Global-Scale Sustainable Development Monitoring Report 2025

Contributed to the writing of the dissolved oxygen analysis section for the Global-Scale Sustainable Development Monitoring Report 2025.

Topics: sustainable development monitoring, dissolved oxygen analysis, ocean data products

Reports Download report

Global Ocean Anomaly Remote Sensing Monitoring System

Updated and validated remote-sensing analysis datasets for global ocean surface environmental variables, supported batch processing, and integrated ocean spatiotemporal mining methods into a monitoring system.

Methods: remote sensing, dataset validation, batch processing, system integration

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.

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.

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.

Awards

Academic Honors

National Encouragement Scholarship
Surveying and Mapping Department Scholarship
Science and Technology Innovation Scholarship
Arts and Sports Scholarship
Outstanding Student and Outstanding Communist Youth League Member
Second Prize, Qingdao Innovation Surveying Skills Competition
Second Prize, University Surveying Skills Competition
Third Prize, University ACM Programming Contest
Third Prize, University Probability Theory Competition
Outstanding Undergraduate Thesis, university level
Outstanding Presentation, 1st National Coastal Zone Remote Sensing Conference, 2023

Sports and Arts

Group First Prize, Campus Dance Competition, China University of Petroleum (East China), 2018
3rd place, 3000 m steeplechase, UPC Sports Meeting, 2019; 11'27''
5th place, 3000 m steeplechase, UPC Sports Meeting, 2020
8th place, 5000 m fitness run, AIRCAS Graduate Competition, 2023; 20'21''
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

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.

Interests

Outside research, I enjoy badminton, fitness training, swimming, running, roller skating, hiking, skiing, rock climbing, and orienteering. Competitive highlights are listed in the sports and arts subsection of Awards.

Zhenguo Wang playing badminton — Badminton

Contact

Email: zgwang24@m.fudan.edu.cn

Institution: Department of Atmospheric and Oceanic Sciences, Fudan University

Location: Shanghai, China