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Scott Giangrande

Associate Meteorologist

Dr. Giangrande has a PhD in Atmospheric Science from the University of Oklahoma and began his professional career as a postdoctoral fellow at McGill University in Montreal, Canada, from 2008 to 2010. His notable accomplishments during that time were the development of novel scanning precipitation (weather) and cloud radar techniques for rainfall and drop size distribution estimation, air motion retrievals and hydrological (echo) classification for DOE radar systems and the polarimetric prototype of the NOAA - National Weather Service NEXRAD WSR-88D radar network. Since coming to BNL, his research interests have been focused primarily on the applications of radar technology and its insights for the improvement of regional to global climate modeling capabilities. Recent activities include service as CO-Investigator for the Midlatitude Continental Convective Clouds Experiment (MC3E) in 2011.


  • University of Oklahoma, Ph.D. in Meteorology, Biggerstaff, Ryzhkov (Co-Chairs)
  • University of Oklahoma, M.S. in Meteorology, Ryzhkov, Duchon (Co-Chairs)
  • The Pennsylvania State University, B.S. in Meteorology with Honors

Awards, Honors and Memberships

  • American Meteorological Society 75th Anniversary Scholarship
  • American Meteorological Society Graduate/Industry Fellowship
  • NOAA Research 2007 Outstanding Scientific Paper

Areas of Interest

  • Cloud and Precipitation Microphysics
  • Radar Meteorology
  • Adaptive radar scanning for climate applications


  • 2010-present Brookhaven National Laboratory, Upton, NY Asst. Meteorologist, Atmospheric Science Division, Department of Environmental Sciences
  • 2008-2010 McGill University, Montreal Canada Postdoctoral Research Assistant, McGill University, Atmospheric and Oceanic Sciences
  • 2000-2008 The National Weather Center, Norman, OK
  • Research Assistant, The University of Oklahoma, Cooperative Institute for Mesoscale Meteorological Studies (CIMMS), The National Severe Storms Laboratory (NSSL)

Recent Publications

Fan, J., Han, B., Varble, A., Morrison, H., North, K., Kollias, P., Chen, B., Dong, X., Giangrande, S. E., Khain, A., Lin, Y., Mansell, E., Milbrandt, J., Stenz, R., Thompson, G., and Wang, Y. Cloud-Resolving Model Intercomparison of an MC3E Squall Line Case: Part I – Convective Updrafts. J. Geophys. Res. Atmos., accepted (2017).

Huang, H., Zhang, G., Zhao, K., and Giangrande, S. E. A Hybrid Method to Estimate Specific Differential Phase and Rainfall with Linear Programming and Physics Constraints. IEEE Trans. Geosci. Remote Sensing, accepted (2016).

Jensen, M., Petersen, W., Bansemer, A., Bharadwaj, N., Carey, L., Cecil, D., Collis, S., DelGenio, A., Dolan, B., Gerlach, J., Giangrande, S., Heymsfield, A., Heymsfield, G., Kollias, P., Lang, T., Nesbitt, S., Neumann, A., Poellot, M., Rutledge, S., Schwaller, M., Tokay, A., Williams, C., Wolff, D., Xie, S., and Zipser, E. The Midlatitude Continental Convective Clouds Experiment (MC3E). Bull. Amer. Meteor. Soc. 97, 1667-1686, doi:10.1175/BAMS-D-14-00228.1 (2016).

Giangrande, S. E., Toto, T., Bansemer, A., Kumjian, M. R., Mishra, S., and Ryzhkov, A. V. Insights Into Riming and Aggregation Processes As Revealed By Aircraft, Radar, and Disdrometer Observations For a 27 April 2011 Widespread Precipitation Event. J. Geophys. Res. Atmos. 121, 5846-5863, doi:10.1002/2015JD024537 (2016).

Kumjian, M. R., Mishra, S., Giangrande, S. E., Toto, T., Ryzhkov, A. V., and Bansemer, A. Polarimetric Radar and Aircraft Observations of Saggy Bright Bands During MC3E. J. Geophys. Res. Atmos. 121, 3584-3607, doi:10.1002/2015JD024446 (2016).

Mechem, D. B., Giangrande, S. E., Wittman, C. S., Borque, P., Toto, T., and Kollias, P. Insights from modeling and observational evaluation of a precipitating continental cumulus event observed during the MC3E field campaign. J. Geophys. Res. Atmos. 120, 1980-1995, doi:10.1002/2014JD022255 (2015).

Heistermann, M., Collis, S., Dixon, M. J., Giangrande, S., Helmus, J. J., Kelley, B., Koistinen, J., Michelson, D. B., Peura, M., Pfaff, T., and Wolff, D. B.  The Emergence of Open Source Software for the Weather Radar Community. Bull. Am. Meteorol. Soc., e-view, doi:10.1175/BAMS-D-13-00240.1 (2014).

Giangrande, S. E., Collis, S., Straka, J., Protat, A., Williams, C., and Krueger, S.  A Summary of Convective Core Vertical Velocity Properties Using ARM UHF Wind Profilers in Oklahoma. J. Applied Meteorol. Climatol. 52, 2278-2295, doi:10.1175/JAMC-D-12-0185.1 (2013).

Giangrande, S. E., McGraw, R., and Lei, L. An Application of Linear Programming to Polarimetric Radar Differential Phase Processing. J. Atmos. Oceanic Technol. 30, 1716-1729, doi:10.1175/JTECH-D-12-00147.1 (2013).

Li, Z., Zhang, Y., and Giangrande, S. E. Rainfall-Rate Estimation Using Gaussian Mixture Parameter Estimator: Training and Validation. J. Atmos. Oceanic Technol. 29, 731-744, doi:10.1175/JTECH-D-11-00122.1 (2012).

Giangrande, S. E., Luke, E. P., and Kollias, P. Characterization of Vertical Velocity and Drop Size Distribution Parameters in Widespread Precipitation at ARM Facilities. J. Applied Meteorol. Climatol. 51, 380-391, doi:10.1175/JAMC-D-10-05000.1 (2012).

Chandra, A. S., P. Kollias, S. E. Giangrande, and S. A. Klein,  Long-Term Observations of the Convective Boundary Layer Using Insect Radar Returns at the SGP ARM Climate Research Facility.  J. Climate 23, 5699-5714 (2010).

Giangrande, S. E., E. P. Luke, P. Kollias,  Automatic retrievals of precipitation parameters using non-Rayleigh scattering at 95-GHz.  J. Atmos. Oceanic Technol. 27(9), 1490-1503 (2010).

Gourley, J. J., S. E. Giangrande, Y. Hong, Z. Flaming, T. Schuur and J. A. Vrugt,  Impacts of polarimetric radar observations on hydrologic simulation. J. Hydrometeor 11, 781-796 (2010).

Giangrande, S. E., Luke, E. P., and Kollias, P.  Automated retrievals of precipitation parameters using non-Rayleigh scattering at 95-GHz.  J. Atmos. Oceanic Technol. 27, 1490-1503, doi:10.1175/2010JTECHA1343.1 (2010).

Vulpiani, G., S. E. Giangrande and F.S. Marzano,  Rainfall estimation from polarimetric S-Band radar measurements: Validation of a neural network approach. J. Appl. Meteorol.  Climotol. 48, 10, 2022-2036 (2009).