STATUS · ALL SYSTEMS NOMINAL·—
CEWIT · STONY BROOK · 40.92°N 73.12°W● LIVE
— Research · 6 themes · 4 active projects

Advancing the science of atmospheric observation.

Integrated sensing, computational methods, and collaborative observation — from ground-based field stations to spaceborne missions.

Core themes

Research areas.

Our work spans ground-based and spaceborne observation, cloud-process modeling, and adaptive cyberinfrastructure for atmospheric science.

01 / Radar remote sensing
Millimeter-wavelength & phased-array systems.
Development and deployment of multi-frequency radar systems for high-resolution observation of clouds and precipitation. Doppler-spectra analysis, polarimetric retrievals, and dual-wavelength techniques.
Ka · X · KuPolarimetry
02 / Cloud microphysics
Ice nucleation, droplets, entrainment.
Ice nucleation, precipitation formation, aerosol-cloud interactions, entrainment, and droplet activation. In-situ + remote sensing + simulations.
In-situMixed-phase
03 / AI & adaptive sensing
Machine learning for radar control.
Real-time adaptive scanning, feature detection, intelligent scan strategies. The MAAS cyberinfrastructure coordinates multiple radars.
04 / Spaceborne missions
EarthCARE, WIVERN, INCUS.
Forward modeling tools and retrieval algorithms for spaceborne radar observations of clouds and precipitation.
05 / Urban & boundary layer
Cities & mobile observatories.
Mobile observatories for boundary-layer studies. Climate resilience, environmental justice, security in metropolitan areas.
06 / Forward modeling & simulation
CR-SIM — making the unobservable observable.
A radar simulator that converts numerical weather prediction model output into synthetic radar observations across multiple frequencies, polarizations, and viewing geometries — enabling systematic evaluation of radar observables and sensing strategies. Widely adopted across the meteorological research community.
Open-sourceMulti-frequencyNWP coupling
Active projects

Key initiatives.

PRJ-01MAAS
Multisensor Agile Adaptive Sampling — real-time, fine-grained, coordinated control of atmospheric observing instruments. Integrates external observations for situational awareness, feature detection, and tracking, with potential for future drone and phased-array radar integration.
FunderNSF CISE
PIKollias et al.
Year2020
PRJ-02EarthCARE CPR
Development and quality control of Level 2a processors for the Cloud Profiling Radar on the ESA/JAXA EarthCARE satellite mission. Algorithm development for cloud and precipitation retrievals from space.
AgencyESA / JAXA
TypeSpaceborne
StatusOperational
PRJ-03CR-SIM
Forward-modeling framework converting NWP model output into synthetic radar observations across multiple frequencies, polarizations, and viewing geometries. Widely adopted across the meteorological research community.
LicenseOpen-source
CitationOue et al., 2020
StatusActive
PRJ-04BNL Mobile Observatory
Mobile atmospheric observation platform developed for urban boundary-layer studies. Deployed for applications spanning climate resilience, environmental justice, and national security in metropolitan areas.
FunderDOE
LeadLamer
DomainUrban
Publications

Selected works.

Pavlos Kollias has authored and co-authored over 230 peer-reviewed articles. Below is a selected subset.

  1. 001
    The MAAS Cyberinfrastructure for Adaptive Atmospheric Sensing
    Kollias, P., et al. · Publication details to be added.
    2020
  2. 002
    CR-SIM: A Cloud-Resolving Model Radar Simulator
    Oue, M., Kollias, P., et al. · Publication details to be added.
    2020
  3. 003
    Mobile Observatory Development for Urban Boundary-Layer Studies
    Lamer, K., et al. · Publication details to be added.
    2023

Full publication list coming soon. See Google Scholar for the complete record.