• State University of New York at Albany

Qilong Min, Professor and Senior Research Associate, Atmospheric Sciences Research Center, State University of New York at Albany. Email: qmin@albany.edu, phone: (518) 437-8742. Dr. Min is a lead co-PI in NCAS. He participated in DOE NIGEC and ASR programs, and also in multiple NASA missions and led oxygen A-band retrieval efforts for CloudSat PABSI. Dr. Min is well-known for his work on remote sensing.

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, my 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). My research efforts are toward:

  • Understanding feedback mechanisms associated with water, energy, and carbon cycles, aerosol-cloud-precipitation interaction; and atmosphere-terrestrial ecosystem interaction.
  • Developing remote sensing techniques by synergizing passive/active visible, infrared, and microwave measurements for understanding global climate, including retrievals of aerosol and cloud optical properties, terrestrial vegetation state and evaportranspiration; and precipitation and lantern heat
  • Improving various forecasting and climate models for physical processes related to water, energy, and carbon cycles
  • Improving radiative transfer modeling for remote sensing and climate/weather models
  • Developing instruments for atmospheric and environmental monitoring