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Pavlos Kollias

Pavlos Kollias

· SUNY Empire Innovation Professor

Stony Brook University · Sustainability Studies

Active 1999–2025

h-index66
Citations16.2k
Papers594201 last 5y
Funding$2.0M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Pavlos Kollias is a SUNY Empire Innovation Professor of Atmospheric Sciences at Stony Brook University, with a joint appointment at the Environmental Science and Technologies Department at Brookhaven National Laboratory since 2016. He is also an Adjunct Professor at McGill University, Canada. With over two decades of experience in atmospheric experimentation, Kollias is internationally recognized as a leading expert in the use of radars for atmospheric research. His work encompasses radar engineering, signal processing, smart sensors, and advanced instrumentation, and he is actively involved in national and international projects focused on developing and applying novel phased array and spaceborne radar systems for weather and climate science. Kollias has authored or co-authored over 230 peer-reviewed publications in fields including millimeter-wavelength radar, radar technology, signal processing, and the dynamics and microphysics of clouds and precipitation. His research contributions are supported by numerous grants, and he has received prestigious awards such as the Humboldt Research Fellowship (2013) and the American Geophysical Union Atmospheric Sciences Ascent Award (2020).

Research topics

  • Computer Science
  • Environmental science
  • Meteorology
  • Geography
  • Geology
  • Remote sensing
  • Atmospheric sciences
  • Engineering
  • Aerospace engineering
  • Climatology

Selected publications

  • Spaceborne Cloud and Precipitation Radars: Status, Challenges, and Ways Forward

    Reviews of Geophysics · 2020 · 182 citations

    Spaceborne radars offer a unique three-dimensional view of the atmospheric components of the Earth's hydrological cycle. Existing and planned spaceborne radar missions provide cloud and precipitation information over the oceans and land difficult to access in remote areas. A careful look into their measurement capabilities indicates considerable gaps that hinder our ability to detect and probe key cloud and precipitation processes. The international community is currently debating how the next g…

  • Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA)

    Bulletin of the American Meteorological Society · 2021 · 142 citations

    Abstract With their extensive coverage, marine low clouds greatly impact global climate. Presently, marine low clouds are poorly represented in global climate models, and the response of marine low clouds to changes in atmospheric greenhouse gases and aerosols remains the major source of uncertainty in climate simulations. The eastern North Atlantic (ENA) is a region of persistent but diverse subtropical marine boundary layer clouds, whose albedo and precipitation are highly susceptible to pertu…

  • Chasing Snowstorms: The Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) Campaign

    Bulletin of the American Meteorological Society · 2022 · 95 citations

    Abstract The Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) is a NASA-sponsored field campaign to study wintertime snowstorms focusing on East Coast cyclones. This large cooperative effort takes place during the winters of 2020–23 to study precipitation variability in winter cyclones to improve remote sensing and numerical forecasts of snowfall. Snowfall within these storms is frequently organized in banded structures on multiple scales. The c…

  • The Cloud-resolving model Radar SIMulator (CR-SIM) Version 3.3: description and applications of a virtual observatory

    Geoscientific model development · 2020 · 66 citations

    Abstract. Ground-based observatories use multisensor observations to characterize cloud and precipitation properties. One of the challenges is how to design strategies to best use these observations to understand these properties and evaluate weather and climate models. This paper introduces the Cloud-resolving model Radar SIMulator (CR-SIM), which uses output from high-resolution cloud-resolving models (CRMs) to emulate multiwavelength, zenith-pointing, and scanning radar observables and multis…

  • Cloud–Aerosol–Turbulence Interactions: Science Priorities and Concepts for a Large-Scale Laboratory Facility

    Bulletin of the American Meteorological Society · 2020 · 58 citations

    Clouds and aerosols, ubiquitously embedded in turbulent flows, are central to the prediction of weather and climate. The purpose of the workshop described here was to explore scientific questions and set priorities for a large-scale aerosol–cloud–turbulence laboratory facility. (Here, “facility” denotes one or more aerosol/cloud chambers and the associated instrumentation and technical/scientific staff.) Specifically, at the workshop we attempted to gauge community interest and to obtain a sense…

Recent grants

Frequent coauthors

  • Mariko Oue

    Stony Brook University

    315 shared
  • Edward Luke

    Brookhaven National Laboratory

    220 shared
  • Ann M. Fridlind

    Goddard Institute for Space Studies

    213 shared
  • Maximilian Maahn

    Leipzig University

    210 shared
  • Greg M. McFarquhar

    163 shared
  • Virendra P. Ghate

    Argonne National Laboratory

    162 shared
  • Susanne Crewell

    University of Cologne

    162 shared
  • Katia Lamer

    Brookhaven National Laboratory

    161 shared

Education

  • Ph.D.

    Stony Brook University

Awards & honors

  • Humboldt Research Fellowship (2013)
  • American Geophysical Union (AGU) Atmospheric Sciences Ascent…

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