Jeff Freedman

Jeff Freedman

Research Faculty
Atmospheric Sciences Research Center
CV116.43 KB


ETEC 331

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

PhD, Atmospheric Science, University at Albany, State University of New York, May 2000

Jeff Freedman
Research Interests

As part of the Boundary Layer Meteorology and Renewable Energy Groups 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, outage prediction modeling applications, developing instrumentation and improving modeling approaches for offshore wind energy, and using ASRC modeling and observational assets to better understand weather and climate influences on our renewable energy resource. A principal tool for my observational work is a Leosphere Windcube 100S scanning LiDAR. Of great value for my research is continuing collaboration with colleagues at ASRC, the New York State Mesonet, the Center of Excellence for Weather and Climate Analytics, and working with a very talented group of graduate students.

My previous work in the private sector (with Atmospheric Information Services and Envirolaw, companies I founded, and AWS Truepower, as Lead Research Scientist) included serving as a lead Principal Investigator for 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, and developing an early roadmap for the legal and regulatory review of offshore wind energy projects in US coastal waters.



Shrestha, B., Brotzge, J. A., Wang, J., Bain, N., Thorncroft, C. D., Joseph, E., Freedman, J., & Perez, S. (2021). Overview and Applications of the New York State Mesonet Profiler Network, Journal of Applied Meteorology and Climatology, 60(11), 1591-1611.

Brotzge, J.A., Wang, J., Thorncroft, C.D., Joseph, E., Bain, N., Bassill, N., Farruggio, N., Freedman, J.M., Jr, K.H., Johnston, D. and Kane, E., 2020: A Technical Overview of the New York State Mesonet Standard Network. Journal of Atmospheric and Oceanic Technology, 37(10), pp.1827-1845.

Elena, A., L. Bianco, I. V. Djalalova, J. M. Wilczak, J. Olson, J. Freedman, C Finley, J. Cline, 2019: Measuring the Impact of Additional Instrumentation on the Skill of Numerical Weather Prediction Models at Forecasting Wind Ramp Events during the first Wind Forecast Improvement Project (WFIP), Wind Energy. 2019; 1– 13.

Wilczak, J.M., Olson, J.B., Djalalova, I., Bianco, L., Berg, L.K., Shaw, W.J., Coulter, R.L., Eckman, R.M., Freedman, J., Finley, C. and Cline, J., 2019. Data assimilation impact of in situ and remote sensing meteorological observations on wind power forecasts during the first W ind F orecast I mprovement P roject (WFIP). Wind Energy, 22(7), pp.932-944.

Freedman, J. M., R. Perez, J. Brotzge, and C. Thorncro`, 2019: Toward 100 Percent Renewable Energy in New York. UAlbany White Paper. Available at

Freedman, J. M., and D. R. Fitzjarrald, 2017: 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.