Extended Abstract (2.8M)P2.23
Detection of clouds and aerosols using infrared hyperspectral observations
Steven A. Ackerman, CIMSS/University of Wisconsin, Madison, WI; and H. L. Huang, P. Antonelli, R. Holz, H. Revercomb, D. Tobin, K. Baggett, and J. E. Davies
High spectral resolution infrared measurements provide increased capabilities over imaging radiometers for detecting clouds and aerosols and for characterizing their optical properties. For over 20-years the University of Wisconsin Cooperative Institute for Meteorological Satellite Studies (UW-CIMSS) has been developing algorithms for detecting clouds and aerosols using high-spectral resolution infrared measurements. The goal has been to apply these algorithms to current and future hyperspectral sensors on polar orbiting and geostationary satellite platforms with a view to improving our understanding of the Earth's hydrological cycle and energy budget.
This paper reviews the advantages and disadvantages of using high-spectral resolution infrared observations to detect cloud and aerosol and, where feasible, retrieve their microphysical properties. Presented is an overview of these algorithms and a demonstration of their capabilities as applied to aircraft (HIS/S-HIS/NAST-I) and satellite (AIRS) instruments.
Poster Session 2, IIPS Poster Session II
Wednesday, 14 January 2004, 2:30 PM-4:00 PM, Room 4AB
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