Welcome to the Radars in Weather and Climate group.

 

Our mission is to promote the use of radars in weather and climate research, from severe weather nowcasting to cloud climatology. Our group is interested in the optimization of radar systems and networks though hardware and software innovations. The translation of radar observables to physical parameters using both forward and inversion methods is a key area of research for our group. Our scientific interest is in the physical understanding of the atmospheric component of the hydrological cycle (e.g., cloud, precipitation, radiation and thermodynamics) and the improved representation of cloud and precipitation processes in global, regional and storm scale numerical models.

 

read more: latest interview with Dr. Pavlos Kollias on International Innovation Magazine

 

 

Clouds play a critical role in Earth’s climate through the reflection, absorption and emission of radiation, the vertical transport of heat and moisture and the generation of precipitation and its associated latent heat release and evaporation. Despite ever increasing computational power and model sophistication, the poor representation of cloud processes continues to be one of the major sources of uncertainty in numerical simulations of climate and weather. In order to adequately understand the role of clouds and improve their parameterization in numerical model, fundamental (process) studies on all scales important to clouds formation, evolution and dissipation are required.

Precipitation is another integral part of the Earth’s hydrological cycle. Forecasts and simulations from models applied to scales of motions ranging from global to mesoscale exhibit substantial uncertainty due to the parameterization of precipitating clouds in these models. Uncertainties in the mechanics of precipitation processes continue to cloud our ability to represent these processes in models. At the same time, the detailed observations of updraft and downdrafts and precipitation structures needed to evaluate explicit model simulations of precipitating cumulus clouds and the associated stratiform regions are limited. Such small-scale quantitative measurements of microphysics and dynamics in precipitation are essential in our effort to understand atmospheric dynamics and improve the representation of climate-rainfall feedbacks in numerical models.

 

 

Research Highlights

Latest presentation



In print

 

 

Upcoming Meetings

 

Links

Web links to radar meteorology tutorials, other radar meteorology groups, data resources.