Skip to toolbar


Ph.D., 2000, University of Miami

Cloud Microphysics and Dynamics, Environmental Remote Sensing, Radar Meteorology and Technology

Radar Science Group
Center for Multiscale Applied Sensing

Google Scholar Profile



Pavlos Kollias is a Professor at the School of Marine and Atmospheric Sciences at Stony Brook University – State University of New York and has a joint appointment with the Department of Environmental and Climate Sciences at Brookhaven National Laboratory. His research focuses on the understanding of the microphysical, dynamical and radiative processes that act at the cloud- and meso-scale and their accurate representation in numerical models. He is also interested in radar technology and the development and application of novel phased-array and spaceborne radars in weather and climate research. Kollias is an international leader in the application of radars for cloud and precipitation research from ground-based and space-based platforms. Kollias has published over 140 peer-reviewed scientific articles in the areas of millimeter wavelength radar research, radar technology, signal processing and cloud and precipitation dynamics and microphysics.

Pavlos Kollias is also the Director of the Center for Multiscale Applied Sensing (CMAS) at Brookhaven National Laboratory. He is a member of the Mission Advisory Group and algorithm development team of the European Space Agency Earth Clouds Aerosols Radiation Experiment (EARTHCARE) Explorer Mission. He has served as a member at the National Science Foundation Engineering Research Center for the Collaborative Adaptive Sensing of the Atmosphere. Kollias also served for three years (2007-2009) as Associate Chief Scientist for the US DOE Atmospheric Radiation Measurements (ARM) program and for six years (2012-2018) as the leader of the Radar Science group of the ARM program. He has served as the Chair of the American Meteorological Society (AMS) Committee on Radar Meteorology and has organized and chaired numerous sessions in international conferences. Kollias has also organized and participated as guest lecturer in several short courses in Europe, North America and Asia on the use of radars in atmospheric research.

Publications (selected)

Kollias, P., N. Bharadwaj, E.E. Clothiaux, K. Lamer, M. Oue, J. Hardin, B. Isom, I. Lindenmaier, A. Matthews, E.P. Luke, S.E. Giangrande, K. Johnson, S. Collis, J. Comstock, and J.H. Mather, 0: The ARM Radar Network: At the Leading-edge of Cloud and Precipitation Observations. Bull. Amer. Meteor. Soc., 0,

Kollias, P., Puigdomènech Treserras, B., and Protat, A.: Calibration of the 2007–2017 record of ARM Cloud Radar Observations using CloudSat, Atmos. Meas. Tech.,, Accepted, 2019

Battaglia, A. and Kollias, P.: Evaluation of differential absorption radars in the 183 GHz band for profiling water vapour in ice clouds, Atmos. Meas. Tech., 12, 3335-3349,, 2019

Kollias, P., D. J. McLaughlin, S. Frasier, M. Oue, E. Luke and A. Sneddon, “Advances and applications in low-power phased array X-band weather radars,” 2018 IEEE Radar Conference (RadarConf18), Oklahoma City, OK, USA, 2018, pp. 1359-1364. doi: 10.1109/RADAR.2018.8378762

Oue, M., Kollias, P., Ryzhkov, A., & Luke, E. P. (2018). Toward exploring the synergy between cloud radar polarimetry and Doppler spectral analysis in deep cold precipitating systems in the Arctic. Journal of Geophysical Research: Atmospheres, 123, 2797–2815.

North, K. W., Oue, M., Kollias, P., Giangrande, S. E., Collis, S. M., and Potvin, C. K.: Vertical air motion retrievals in deep convective clouds using the ARM scanning radar network in Oklahoma during MC3E, Atmos. Meas. Tech., 10, 2785-2806,, 2017

Oue, M., P. Kollias, K. W. North, A. Tatarevic, S. Endo, A. M. Vogelmann, and W. I. Gustafson Jr. (2016), Estimation of cloud fraction profile in shallow convection using a scanning cloud radar, Geophys. Res. Lett., 43, doi:10.1002/2016GL070776.

Kollias P., N. Bharadwaj, K., Widener, I., Jo and K., Johnson, 2014: Scanning ARM Cloud Radars – Part I: Operational Sampling Strategies. Online release, Journal of Atmospheric and Oceanic Technology 2013; e-View doi:

Kollias P., I. Jo P. Borque P., A. Tatarevic, K. Lamer, N. Bharadwaj, K., Widener, K., Johnson and E. Clothiaux 2014: Scanning ARM Cloud Radars – Part II: Data Quality Control and Processing. Online release, Journal of Atmospheric and Oceanic Technology 2013; e-View doi:

Kollias, P., E.E. Clothiaux, M.A. Miller, B.A. Albrecht, G.L. Stephens, and T.P. Ackerman, 2007: Millimeter-Wavelength Radars: New Frontier in Atmospheric Cloud and Precipitation Research. Bull. Amer. Meteor. Soc., 88, 1608–1624    

Related News Articles

Fall Updates from SoMAS Faculty

The Fall Semester is off and running, and while classes are back in session, SoMAS faculty are bringing in research awards! Dr. Paul Shepson has received a new award from NSF's Office of Polar Programs, in support of the project: "Collaborative Research: CHemistry in...

Winter Faculty Research News

Photo above: Dr. Flagg's latest flight over the breach at Old Inlet Here are the latest updates about our faculty and their research. Dr. Hyemi Kim's recent publication "Insignificant QBO‐MJO prediction skill relationship in the SubX and S2S subseasonal reforecasts"...

New Faculty Research Awards

Congratulations to our faculty for their recent research awards!Gordon Taylor received a new NSF award, in the amount $514,960, in support of the project "Collaborative Research: Key Microbial Processes in Oxygen Minimum Zones: From in Situ Community Rate Measurements...

SoMAS Faculty Receive SBU-BNL SEED Grant for Collaborative Research

The SBU-BNL Seed Grant program serves to foster collaborative efforts between scientists at the University and BNL. It is a key opportunity for developing synergistic activities that can grow joint research programs aligned with the strategic plans of both...

SoMAS Study Uses Radar to Better Predict Shallow Cloud Coverage

Shallow convection plays a critical role in the heat and moisture transfer between the boundary layer and free atmosphere above about 2 km. However, with an average spatial scale of 0.5–1.5 km, shallow cumuli are not resolved in weather forecast and climate models,...

ITPA-BNL Joint Symposium

Brookhaven National Laboratory – Berkner Hall, Room B – Friday, April 29, 2005

Print Friendly, PDF & Email