Remote Sensing of Spectral Aerosol Properties: A Classroom Experience

Robert C. Levy
Search for other papers by Robert C. Levy in
Current site
Google Scholar
PubMed
Close
and
Rachel T. Pinker
Search for other papers by Rachel T. Pinker in
Current site
Google Scholar
PubMed
Close
Restricted access

Bridging the gap between current research and the classroom is a major challenge to today's instructor, especially in the sciences where progress happens quickly. NASA Goddard Space Flight Center and the University of Maryland teamed up to design a graduate class project intended to provide a hands-on introduction to the physical basis for the retrieval of aerosol properties from state-of-the-art Moderate Resolution Imaging Spectroradiometer (MODIS) observations. Students learned to recognize spectral signatures of atmospheric aerosols and perform spectral inversions. They became acquainted with the operational MODIS aerosol retrieval algorithm over oceans and methods for its evaluation, including comparisons with ground-based Aerosol Robotic Network sun-photometer data.

Science Systems and Applications, Inc., Lanham, Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland

Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland

CORRESPONDING AUTHOR: Robert Levy, SSAI, Code 613.2, NASA Goddard Space Flight Center, Greenbelt, MD 20771. E-mail: levy@climate.gsfc.nasa.gov

Bridging the gap between current research and the classroom is a major challenge to today's instructor, especially in the sciences where progress happens quickly. NASA Goddard Space Flight Center and the University of Maryland teamed up to design a graduate class project intended to provide a hands-on introduction to the physical basis for the retrieval of aerosol properties from state-of-the-art Moderate Resolution Imaging Spectroradiometer (MODIS) observations. Students learned to recognize spectral signatures of atmospheric aerosols and perform spectral inversions. They became acquainted with the operational MODIS aerosol retrieval algorithm over oceans and methods for its evaluation, including comparisons with ground-based Aerosol Robotic Network sun-photometer data.

Science Systems and Applications, Inc., Lanham, Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland

Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, Maryland

CORRESPONDING AUTHOR: Robert Levy, SSAI, Code 613.2, NASA Goddard Space Flight Center, Greenbelt, MD 20771. E-mail: levy@climate.gsfc.nasa.gov
Save