Remote Sensing at ASRC

Researchers:  Qilong Min

Climate change alters the radiation, temperature, sea surface pressure, and precipitation distributions, and also forces terrestrial vegetation and ecological systems to adapt. Great attention has being paid to potential aerosol impacts on cloud microphysical and radiative properties, as the indirect effect of aerosols currently produces the greatest uncertainty in climate predictions among all known climate forcing mechanisms. Large climate feedback uncertainties limit the accuracy in predicting the response of Earth´s climate to the atmospheric CO2 increase. Also, key physical and dynamical processes associated with severe weather (e.g., hurricanes and tornados) are neither fully understood nor characterized, and so high priority is placed on measurements that will contribute to successful forecasts of such events. To address several key issues, our research group works on the problems of atmospheric physics ranging from the ionosphere to the earth´s surface by using numerical models and active and passive remote sensing from multiple platforms (satellite, airborne, and surface-based).