Multidimensional cloud images retrieval from dual-frequency millimeter-wave radar

In order to obtain a better understanding of the dynamics of heat transfer in the Earth's atmosphere, we need to develop better and more accurate climate models for the hydrometeor distribution within clouds. A better insight into the microphysical structure of clouds will be helpful to several meteorological and climate prediction models. In this work, stratus clouds are studied using dual-frequency radar. Liquid stratus clouds are found in the lower part of the atmosphere and have a profound impact on the Earth's radiative budget because of their high albedo and large global coverage. These clouds are difficult to study and quantify with visible and IR remote sensors due to their high optical extinction rate. We retrieve stratus cloud properties in two dimensions using a dual-frequency mm-wave radar. This work is a joint project between University of Massachusetts and University of Puerto Rico, Mayagu/spl uml/ez.