Dan Fu

Dan Fu

Assistant Research Scientist

Tropical cyclone dynamics and predictability, atmosphere-ocean interactions, high-resolution global and regional earth system numerical modeling, machine learning applications in climate and geosciences


  (979) 458-3274

  Eller O&M 618A


My primary research interests focus on the topics of how modes of climate variability and climate change can influence the variability and predictability of extreme weather events. Extreme weather and climate events, such as tropical cyclones, and atmospheric rivers, heat waves and severe drought, pose substantial risks and impacts to humans and the environment. My research aims to improve seasonal-to-decadal prediction and future projection of such extreme events by understanding the physical drivers of their variability and changes. Given the complexity of factors influencing these extreme events and the limited duration of high-quality observations, I use both ensembles of high-resolution climate model simulations and machine learning data-driven models to uncover causal relationships.

Global/regional numerical models: Weather Research and Forecasting (WRF) model, Community Earth System Model (CESM), Regional-CESM (co-developer; open-sourced at https://ncar.github.io/TAMURegionalCESM/cesm_configurations.html), Energy Exascale Earth System Model (E3SM), Model for Prediction Across Scales (MPAS), Regional Ocean Modeling System (ROMS)


Understanding the role of mesoscale atmosphere-ocean interactions in Seasonal-to-Decadal climate prediction (co-PI)

Sponsor: NSF Climate and Large-scale Dynamics program ($1,925,248; 2023-03-15 to 2027-02-28; Award Number: 2231237)

Selected Publications

  • Zheng, X., L. Xie, K. Lee, D. Fu, J. Wu and P. Chang, 2023: Impact of climate simulation resolutions on future energy system reliability assessment: A Texas case study, iEnergy, doi: 10.23919/IEN.2023.001
  • Fu, D., Chang, P., and Liu, X., 2023: Using convolutional neural network to emulate seasonal tropical cyclone activity. Journal of Advances in Modeling Earth Systems, 15, e2022MS003596. https://doi. org/10.1029/2022MS003596
  • Li, X., D. Fu, J. Nielsen-Gammon, S. Gangrade, S.-C. Kao, P. Chang, M. M. Hernández, N. Voisin, Z. Zhang, and H. Gao, 2023: Impacts of climate change on future hurricane induced compound flooding in a coastal watershed, Journal of Hydrology, 128774. doi: https://doi.org/10.1016/j.jhydrol.2022.128774
  • Fu, D., and coauthors, 2020: Introducing the new Regional Community Community Earth System Model, R-CESM, Bulletin of the American Meteorological Society, doi: https://doi.org/10.1175/BAMS-D-20-0024.1
  • Liu, X., X. M, P. Chang, Y. Jia, D. Fu, G. Xu, L. Wu, R. Saravanan, C. M. Patricola, 2021: Ocean fronts and eddies force atmospheric rivers and precipitation in western North America, Nature Communications, 12, 1268. doi: https://doi.org/10.1038/s41467-021-21504-w.
  • Yeager, S., P. Chang, G. Danabasoglu, Q. Zhang, D. Fu, X. Liu and F. Castroccio: 2020: Bringing the Future into Focus: Benefits and Challenges of High-Resolution Global Climate Change Simulations, Computing in Science and Engineering, doi: 10.1109/MCSE.2021.3068244.
  • Chang, P., and coauthors, 2020: An Unprecedented Set of High-Resolution Earth System Simulations for Understanding Multiscale Interactions in Climate Variability and Change, Journal of Advances in Modeling Earth System, 12, e2020MS002298, https://doi.org/10.1029/2020MS002298.
  • Roberts, M., and coauthors, 2020: Projected Future Changes in Tropical Cyclones using the CMIP6 HighResMIP Multi-model Ensemble, Geophysical Research Letter, 47, e2020GL088662, doi:10.1029/2020GL088662
  • Fu, D., P. Chang, C. M. Patricola and R. Saravanan, 2019: High Resolution Tropical Channel Model Simulations of Tropical Cyclone Climatology and Intraseasonal-to-Interannual Variability, Journal of Climate, 32, 7871-7895, https://doi.org/10.1175/JCLI-D-19-0130.1
  • Fu, D., P. Chang and C. M. Patricola, 2017: Intrabasin Variability of East Pacific Tropical Cyclones during ENSO regulated by Central American Gap Winds, Scientific Reports, 7, doi: 10.1038/s41598-017-01962-3


Ph.D. of Oceangraphy, Texas A&M University 2018
B.S of Atmospheric Sciences, Ocean University of China 2013


  • 2018: HeldFest Scholarship, Princeton University
  • 2017-2018: Research Assistantship, Department of Oceanography, Texas A&M University, College Station.
  • 2016: McGrail Scholarship, Texas A&M University, College Station.
  • 2015: Sharp Scholarship, Texas A&M University, College Station.
  • 2013: Outstanding Student Award (8/3, 3600), Ocean University of China, Qingdao, China.
  • 2012: National Scholarship, Ocean University of China, Qingdao, China.
  • 2010-2013: Ocean University of China Scholarship, Qingdao, China.

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