General Lab Information

Zeen Zhu

Atmospheric Scientist, EE Cloud Process, Environmental Science and Technologies Department

Zeen Zhu

Brookhaven National Laboratory

Environmental Science and Technologies Department
Bldg. 815, Room 2-36
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-4467
zzhu1@bnl.gov

Dr. Zhu specializes in using remote sensing instruments to retrieve cloud and precipitation properties and to study the interactions between cloud dynamics and microphysics. Since joining BNL as a postdoctoral researcher in 2022, he has collaborated with scientists at the Center for Multiscale Applied Sensing (CMAS) to develop high-resolution remote sensing instruments for cloud and precipitation observation. His work integrates remote sensing, in-situ measurements, and laboratory experiments to enhance the understanding of fundamental cloud microphysical processes. Currently, Zeen serves as an atmospheric scientist at BNL and acts as an ARM associate mentor for the weighing bucket precipitation gauge, impact, laser, and video disdrometers.

Expertise | Education | Appointments | Publications

Expertise

Cloud Physics, Remote Sensing

Education

  • Stony Brook University, Atmospheric Science, Ph.D., 2017-2022
  • Lanzhou University, China, Atmospheric Science, M.S., 2015-2017
  • Lanzhou University, China, Atmospheric Science, B.S., 2011-2015

Professional Appointments

2024 – present:  ARM Instrument Mentor

2024 – present:  Research Scientist, Brookhaven National Laboratory

2022 –    2024:    Research Associate, Brookhaven National Laboratory

Selected Publications

  • Zhu Z, Yang F, Kollias P, et al (2024) Peering into cloud physics using ultra-fine resolution radar and lidar systems. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-d-23-0032.1
  • Zhu Z, Yang F, Kollias P, et al (2024) Detection of small drizzle droplets in a large cloud chamber using ultrahigh-resolution radar. Atmospheric Measurement Techniques 17:1133–1143. https://doi.org/10.5194/amt-17-1133-2024
  • Yang F, Kostinski AB, Zhu Z, et al (2024) A single-photon lidar observes atmospheric clouds at decimeter scales: resolving droplet activation within cloud base. npj Climate and Atmospheric Science 7:. https://doi.org/10.1038/s41612-024-00644-y
  • Lamer K, Mages Z, Treserras BP, et al (2024) Spatially distributed atmospheric boundary layer properties in Houston – A value-added observational dataset. Scientific Data 11:. https://doi.org/10.1038/s41597-024-03477-9
  • Ge J, Hu X, Mu Q, et al (2024) Contrasting characteristics of continental and oceanic deep convective systems at different life stages from CloudSat observations. Atmospheric Research 298:107157. https://doi.org/10.1016/j.atmosres.2023.107157
  • Zhu Z, Yang F, Kollias P, Luke E (2023) Observational Investigation of the Effect of Turbulence on Microphysics and Precipitation in Warm Marine Boundary Layer Clouds. Geophysical Research Letters 50:. https://doi.org/10.1029/2022gl102578
  • Zhu Z, Yang F, Kollias P, Luke E (2023) Observational Investigation of the Effect of Turbulence on Microphysics and Precipitation in Warm Marine Boundary Layer Clouds. Geophysical Research Letters 50:. https://doi.org/10.1029/2022gl102578
  • Zhu Z, Kollias P, Yang F (2023) Particle Inertia Effects on Radar Doppler Spectra Simulation. https://doi.org/10.5194/amt-2023-13
  • Yang F, Sua YM, Louridas A, et al (2023) A Time-Gated, Time-Correlated Single-Photon-Counting Lidar to Observe Atmospheric Clouds at Submeter Resolution. Remote Sensing 15:1500. https://doi.org/10.3390/rs15061500
  • Zhu Z, Kollias P, Luke E, Yang F (2022) New insights on the prevalence of drizzle in marine stratocumulus clouds based on a machine learning algorithm applied to radar Doppler spectra. Atmospheric Chemistry and Physics 22:7405–7416. https://doi.org/10.5194/acp-22-7405-2022
  • Jeong J, Witte MK, Glenn IB, et al (2022) Distinct Dynamical and Structural Properties of Marine Stratocumulus and Shallow Cumulus Clouds in the Eastern North Atlantic. Journal of Geophysical Research: Atmospheres 127:. https://doi.org/10.1029/2022jd037021
  • Zhu Z, Kollias P, Yang F, Luke E (2021) On the Estimation of In-Cloud Vertical Air Motion Using Radar Doppler Spectra. Geophysical Research Letters 48:. https://doi.org/10.1029/2020gl090682
  • Zhu Z, Lamer K, Kollias P, Clothiaux EE (2019) The Vertical Structure of Liquid Water Content in Shallow Clouds as Retrieved From Dual-Wavelength Radar Observations. Journal of Geophysical Research: Atmospheres 124:14184–14197. https://doi.org/10.1029/2019jd031188
  • Lamer K, Puigdomènech Treserras B, Zhu Z, et al (2019) Characterization of shallow oceanic precipitation using profiling and scanning radar observations at the Eastern North Atlantic ARM observatory. Atmospheric Measurement Techniques 12:4931–4947. https://doi.org/10.5194/amt-12-4931-2019
  • Ge J, Zhu Z, Zheng C, et al (2017) An improved hydrometeor detection method for millimeter-wavelength cloud radar. Atmospheric Chemistry and Physics 17:9035–9047. https://doi.org/10.5194/acp-17-9035-2017
Zeen Zhu

Brookhaven National Laboratory

Environmental Science and Technologies Department
Bldg. 815, Room 2-36
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-4467
zzhu1@bnl.gov

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