Lazaros Oreopoulos
JCET Fellow

Departmental Affiliation:

Physics

JCET Research Group:

Climate and Radiation Branch

GSFC Code:

613.2

Mailing Address:

Climate and Radiation Branch
Building 33, Room A305
NASA GSFC, Code 613.2
Greenbelt, MD 20771 USA

Lazaros Oreopoulos

Phone:

(301) 614-6128

Fax:

(301) 614-6307

Email:

lazaros.oraiopoulos -at- nasa.gov

URL:

http://climate.gsfc.nasa.gov/userpage/lazaros

Most Recent Publication

Oreopoulos, L., and S. Platnick, 2008: The radiative susceptibility of cloudy atmospheres to droplet number perturbations: 2. Global analysis from MODIS. J. Geophys. Res., 113, D14S21, doi:10.1029/2007JD009655

Research Interests:

LO conducts research on the modeling and remote sensing of clouds, cloud-aerosol interactions, GCM radiative transfer parameterizations, and the 3D nature of clouds and atmospheric radiation.

Biography:

Dr. Lazaros Oreopoulos (a.k.a Lazaros Oraiopoulos) received his B. Sc. in Physics with honors from Aristotle's University of Thessaloniki, Greece in 1989. He received M. Sc. (1992) and Ph. D. (1996) degrees from McGill University, Montreal. After a year as a Research Scientist for the Cloud Physics Research Division of the Meteorological Service of Canada, he joined JCET in October 1997. Soon thereafter he established an affiliation with the UMBC Department of Physics, where he taught a graduate course on atmospheric radiation on several occasions. While in JCET Dr. Oreopoulos served a three-year terms as the leader of the Radiation Focus Group, and held the rank of Research Associate Professor until joining NASA civil service as a Research Physical Scientist in December 2008. He is currently affiliated with JCET as a fellow and leads research on the modeling and remote sensing of clouds, cloud-aerosol interactions, and three-dimensional radiative transfer. He is a member of the Landsat and ARM Science Teams, the GEWEX Radition Panel, The International Radiation Commission, AMS's Atmospheric Radiation Committee, and a Principal Investigator for NASA's Modeling, Analysis and Prediction program.

How to Contact Us


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