Dr. Jeff Freedman

Jeff Freedman

Renewable energy issues, including work on improving wind and solar power production forecasting, resource assessment, weather and climate influences, and the interaction of wind farms with the atmospheric boundary layer

The World Within Reach
Jeffrey Michael Freedman
Research Associate

Department: Atmospheric Sciences Research Center


251 Fuller Road
Albany, New York 12203

518-437-8758 (fax)



BS, Meteorology and Oceanography, Polytechnic University, Brooklyn, New York, June 1981
JD, New York Law School, June 1984
MS, Atmospheric Science, University at Albany, State University of New York, May 1995
Ph.D., Atmospheric Science, University at Albany, State University of New York, May 2000

Research Interests

As part of the Boundary Layer Group here at ASRC, my main research focus is on renewable energy and atmospheric boundary layer (ABL) processes. This includes work on improving wind and solar power production forecasting, weather and climate influences on resource assessment, and the interaction of wind farms (and their performance) with the ABL. I have also investigated how clouds, particularly boundary layer cumulus, are modulated by the underlying surface and how this influences forest health and the solar energy resource. A principal tool for my observational work is a Leosphere Windcube 100S scanning LiDAR.

Research topics I am currently focusing on include:

  1. uncertainty in wind and solar resource assessment;
  2. using remote sensing measurement systems (LiDAR and SoDAR) for renewable energy and boundary layer studies;
  3. detecting trends in the wind and solar resource;
  4. reliability of short-term power production forecasting; and
  5. forest exchange processes and boundary layer cumulus clouds.

Recent sponsored research includes the first Wind Forecasting Improvement Project (WFIP), a three-year Department of Energy (DOE)/National Oceanographic and Atmospheric Administration (NOAA) study to demonstrate the value of additional atmospheric observations and model enhancements on wind energy production forecasts, the development of the Solar Wind Integrated Forecast Tool (SWIFT), a state-of-the-art forecasting service for Hawaii´s electric utilities, and a LiDAR-based study of the 3D wind field over Cranberry Lake in New York’s Adirondack Mountains. The LiDAR was recently deployed here at ASRC to study rapid changes in low-level jet structure and compare wind profiles with the twice-daily high resolution soundings launched at the Albany National Weather Service Forecast Office.

Additional Information

Dr. Freedman  recently received (23 April 2015) an Achievement Award from the Utility Variable Integration Group (UVIG) "For contributions to improve wind energy forecasts through the Wind Forecast Improvement Project."


Freedman, J. M., and D. R. Fitzjarrald, 2016: Mechanisms Responsible for the Observed Complex Structure in a Convective Boundary Layer Over the Hudson Valley. Boundary-Layer Meteorology, submitted.

Xia, G., M. C. Cervarich, S. B. Roy, L. Zhou, J. R. Minder, P. A. Jimenez, and J. M. Freedman, 2016: Simulating Impacts of Real-World Wind Farms on Land Surface Temperature Using WRF Model, Mon. Wea. Rev., submitted.

Bianco, L., I. V. Djalalova, J. M. Wilczak, J. Cline, S. Calvert, E. Konopleva-Akish, C. Finley, and J. Freedman, 2016: A Wind Energy Ramp Tool and Metric for Measuring the Skill of Numerical Weather Prediction Models. Weather & Forecasting, submitted.

Wilczak, J., and Coauthors (J. Freedman), 2015: The Wind Forecast Improvement Project (WFIP): A public-private partnership addressing wind energy forecast needs. To appear Bull. Amer. Meteor. Soc.

Geng X, L. Zhou, J. M. Freedman, S. Baidya Roy, R. A. Harris, M. C. Cervarich, J. Arnfield, 2015: Investigation of the Effects of Atmospheric Boundary Layer Turbulence, Wind Speed, and Stability on Wind Farm Induced Warming Effects Using Observations from a Field Campaign. Submitted to Climate Dynamics.

Orwig, K.; Ahlstrom, M.; Banunarayanan, V.; Sharp, J.; Wilczak, J.; Freedman, J.; Haupt, S.; Cline, J.; Bartholomy, O.; Hamann, H.; Hodge, B.; Finley, C.; Nakafuji, D.; Peterson, J.; Maggio, D.; Marquis, M., "Recent Trends in Variable Generation Forecasting and Its Value to the Power System," Sustainable Energy, IEEE Transactions on, vol.PP, no.99, pp.1-10

Freedman, J. M., and J. W. Zack, 2012: Identifying and Forecasting Ramp Events, North Amer. Wind Power, May 2012.

Freedman, J. M., and K. E. Moore, 2012: Wind Shear And Why It Matters, North Amer. Wind Power. June 2012

Freedman, J. M., K. T. Waight, and P. B. Duffy, 2009: Does Climate Change Threaten Wind Resources? North Amer. Wind Power, 6, 49 - 53.

Freedman, J. M., D. R. Fitzjarrald, K. E. Moore, and R. K. Sakai, 2001: Boundary layer cumulus clouds and vegetation-atmosphere feedbacks. J. Climate, 14, 180-197.

Freedman, J. M. and D. R. Fitzjarrald, 2001: Post-frontal air mass modification. J. Hydrometeorology, 2, 419-437.