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Home » NOAA / GSL Staff Directory » Profile

Siwei He

GSL Staff Profiles
Research Scientist
Office Number
325 Broadway
Boulder, CO 80305

Professional Profile

Research Scientist I at CIRES

My research mainly focuses on the land surface modeling, especially on the subgrid processes and snow processes. I have developed a stochastic subgrid snow model, the FPE snow model (, for representing subgrid variability of snow in land surface and hydrological models. I also developed a scale-aware parameterization for estimating subgrid variability of downward shortwave radiation (, which could be potentially used to estimate subgrid variability of the radiation-driven variables. I am also interested in hydrological modeling, land-atmosphere interactions, and stochastic modeling. 

Research Interests

  • Land surface modeling
  • Subgrid variability in numerical modeling (scale-aware parameterization)
  • Land-atmosphere interactions
  • Hydrology (snow, surface, and subsurface hydrology)


  • PhD, Hydrology, University of Wyoming, 2018
  • M.E., Hydrology and Water Resources, Sichuan University, 2013
  • B.E., hydraulics and Hydro-power, Xi’an University of Technology, 2010   


  • Mar 2020 - present, Research Scientist, Cooperative Institute for Research in Environmental Sciences (CIRES), Uni- versity of Colorado at Boulder
  • Aug 2018 - Feb 2020, NRC Research Associate, NOAA/ESRL/GSL
  •  Sep 2014 - May 2018, Graduate Research Assistant, University of Wyoming, Laramie, US
  • Feb 2018 - May 2018, Graduate Teaching Assistant, University of Wyoming, Laramie, US
  • Jun 2017 - Jul 2017, Summer Institute Student Research Fellow, NOAA National Water Center, Tuscaloosa, US
  • Jul 2013 - Jul 2014, Internship, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Science, Lanzhou, China


He, S., Smirnova, T. G., & Benjamin, S. G. (2019). A scale‐aware parameterization for estimating subgrid variability of downward solar radiation using high‐resolution digital elevation model data. Journal of Geophysical Research: Atmospheres, 2019; 124: 13680– 13692.

He, S., & Ohara, N. (2019). Modeling subgrid variability of snow depth using the Fokker‐Planck equation approach. Water Resources Research, 55, 3137– 3155.

He, S, Ohara, N, Miller, SN. (2019). Understanding subgrid variability of snow depth at 1‐km scale using Lidar measurements. Hydrological Processes, 33: 1525– 1537.

He, S., & Ohara, N. (2017). A new formula for estimating the threshold wind speed for snow movement. Journal of Advances in Modeling Earth Systems, 9, 2514– 2525.