Phone: 303-492-8099
Email:
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Michael King
University of Colorado
Biography:
Dr. Michael King is Senior Research Associate in the Laboratory for Atmospheric and Space Physics, University of Colorado. He served as Senior Project Scientist of NASA's Earth Observing System (EOS) from 1992 to 2008. He joined Goddard Space Flight Center in January 1978 as a physical scientist, and previously served as Project Scientist of the Earth Radiation Budget Experiment (ERBE) from 1983-1992. His research experience includes conceiving, developing, and operating multispectral scanning radiometers from a number of aircraft platforms in field experiments ranging from arctic stratus clouds to smoke from the Kuwait oil fires and biomass burning in Brazil and southern Africa. He has lectured on global change on all seven continents. Earlier, he developed the Cloud Absorption Radiometer for studying the absorption properties of optically thick clouds as well as the bidirectional reflectance properties of many natural surfaces, and is principal investigator of the MODIS Airborne Simulator, an imaging spectrometer that flies onboard the NASA ER-2 aircraft. This instrument has aided immeasurably in the development of atmospheric and land remote sensing algorithms for the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument.
Research Area:
Dr. King is Head of the Atmosphere Discipline Group of the MODIS science team on Terra and Aqua. As a team member, he is responsible for 5 science algorithms being run routinely to process MODIS data: (i) cloud optical properties component of the MODIS cloud product, a level-2 algorithm for determining cloud optical thickness and effective particle radius of both liquid water and ice clouds, and level-3 combined atmosphere products at 1° x 1° latitude/longitude resolution, averaged over (ii) a day, (iii) eight days (half of the orbital repeat cycle of MODIS), and (iv) a month, and (v) a joint atmosphere level-2 product with the most important atmosphere properties sampled every 5-10 km to reduce the size of this data product for ease of use globally.
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