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Shuai Wang

Shuai Wang

Associate Research Scholar

Princeton Univeristy/NOAA-GFDL

Welcome

Shuai Wang is an Associate Research Scholar working on atmospheric physics and fully-coupled climate modeling at Princeton University and NOAA-GFDL. Shuai completed his PhD on Atmospheric Physics at Imperial College London, UK. Before his current position, he was a postdoctoral research associate at Princeton (Department of Civil and Environmental Engineering) and Imperial College London (Department of Physics), and a joint Research Follow at SOAS University of London (School of Finance and Management).

Download my resumé.

Interests
  • Climate Modeling
  • Tropical Cyclone
  • Extreme Weather
  • Climate Service
Education
  • PhD in Atmospheric Physics, 2017

    Imperial College London

  • MSc in Meteorology, 2013

    Ocean University of China

  • BSc in Atmospheric Science, 2011

    Ocean University of China

Experience

 
 
 
 
 
Princeton University/NOAA-GFDL
Associate Research Scholar
Princeton University/NOAA-GFDL
Jan 2022 – Present Princeton US

Main foci:

  • Climate modeling
  • Tropical cyclones
 
 
 
 
 
Princeton University
Postdocteral Research Associate
Princeton University
Mar 2021 – Dec 2021 Princeton US

Main foci:

  • Storm Surge
  • Risk analysis
 
 
 
 
 
Imperial College London
Postdocteral Research Associate
Imperial College London
Mar 2017 – Feb 2021 London UK

Main foci:

  • Tropical Cyclone
  • Numerical Modeling
  • Climate Service
 
 
 
 
 
University of London
Research Fellow (joint appointment)
University of London
Jan 2019 – Jan 2020 London UK

Main foci:

  • Climate Change Mitigation & Adaptation
  • Environmental Management

Grants

Postdoctoral and Visiting Research Scientist Program (Fellowship)

  • Year: 2022-2024
  • Granting Agency: Princeton University/NOAA-GFDL
  • Proposal Topic: Tropical cyclone activity and climate change
  • Role: PI

Southeast Asia Climate Risk Scenarios Research

  • Year: 2021-2022
  • Granting Agency: the Monetary Authority of Singapore
  • Proposal Topic: Downscaling of physical risks for climate scenario design
  • Role: Co-I

Dragon 5 Cooperation

  • Year: 2020-2022
  • Granting Agency: European Space Agency
  • Proposal Topic: Big data intelligent mining and coupling analysis of eddy and cyclone
  • Role: PI

Publications

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