Gang Tang

Nitrogen Cycle Model Structure Uncertainty and Climate Sep 2023 - Present
Max Planck Institute for Biogeochemistry, Jena, Germany
Calibrating the carbon-nitrogen coupled MAGICC to an ensemble of nitrogen model structures to quantify the nitrogen model structure uncertainty on carbon cycle and climate projection (Supervisor: Prof. Dr. Sönke Zaehle)
Land Use Emission Uncertainty on Climate Projection Jun 2023 - Present
International Institute for Applied Systems Analysis, Laxenburg, Austria
Combining OSCAR ensemble land use emission and carbon-nitrogen coupled MAGICC to quantify the impact of land use emission uncertainty on carbon cycle and climate projections (Supervisor: Dr. Thomas Gasser)
Global Carbon-Nitrogen Cycle and Climate Modeling Oct 2022 - Present
The University of Melbourne, Melbourne, Australia
Developing a coupled carbon-nitrogen cycle in a widely used reduced complexity model MAGICC, addressing uncertainties linked to nitrogen limitation in terrestrial ecosystems and enhancing future climate projections (Supervisors: Prof. Dr. Malte Meinshausen, Dr. Zebedee Nicholls, Dr. Alexander Norton, Prof. Dr. Peter Rayner)
Carbon-Nitrogen Biogeochemical Cycling in Urban River Sep 2019 - Sep 2022
Southern University of Science and Technology, Shenzhen, China
Studied impact of temperature, metal binding, and microbial metabolism on riverine dissolved organic carbon and nitrogen dynamics, providing a systematic understanding of organic carbon dynamics in rivers (Supervisor: Prof. Dr. Chongxuan Liu)
Created an innovative approach using fluorescence spectroscopy to link organic carbon molecular size and surface functional groups; Offered an efficient and cost-effective option for characterizing organic carbon
Dissolved Organic Matter in Anaerobic/Anoxic/Oxic Processes Sep 2018 - Sep 2022
Xi'an University of Technology, Xi'an, China
Analyzed molecular signatures in municipal wastewater across anaerobic, anoxic, and oxic treatment processes, uncovering critical functions of unit processes and contributing valuable insights for wastewater treatment plant design and effluent quality control (Supervisor: Prof. Dr. Xing Zheng)