Geng’s current research is primarily focused on quantifying the impact of land surface modeling on wind energy from both the observational and modeling perspectives. Further research interests include remote sensing and its application in land surface processes, wind resource assessment, and atmosphere-ocean numerical coupling. The overarching objective of Geng’s research is to advance wind/wind energy forecasting through a synthetic analysis of observations with mesoscale modeling.

Research Interests

Boundary-layer meteorology

Mesoscale modeling for wind energy

Uncertainty quantification

Offshore atmospheric science

Education

Ph.D., Atmospheric Sciences, University of Albany, State University of New York

B.S., Meteorology, Florida State University

Professional Experience

Postdoctoral Associate, NREL (2019–Present)

Postdoctoral Associate, Atmospheric Sciences Research Center (2018–2019)

Research Assistant, University at Albany (2013–2018)

Associations and Memberships

American Meteorological Society

Featured Work

Quantifying the Impacts of Land Surface Modeling on Hub-Height Wind Speed under Different Soil Conditions, Mon. Wea. Rev. (2021)

Mountain waves can impact wind power generation, Wind Energ. Sci. (2021)

Validating simulated mountain wave impacts on hub-height wind speed using SoDAR observations, Renew. Energy (2021)

Simulating impacts of real-world wind farms on land surface temperature using WRF model: Physical Mechanisms, Clim. Dyn. (2019)

Simulating impacts of real-world wind farms on land surface temperature using WRF model: Validation with MODIS observations, Mon. Weather. Rev. (2017)

Awards and Honors

Distinguished Doctoral Dissertation Award (2018)