Atmospheric Chemistry and Physics Discussions www.atmos-chem-phys-discuss.net 1680-7367 1680-7375 9 2 2009 10.5194/acpd-9-8683-2009 http://www.atmos-chem-phys-discuss.net/9/8683/2009/ http://www.atmos-chem-phys-discuss.net/9/8683/2009/acpd-9-8683-2009.html http://www.atmos-chem-phys-discuss.net/9/8683/2009/acpd-9-8683-2009.pdf 8683 8736 2009-04-01 Retrieval of atmospheric profiles and cloud properties from IASI spectra using super-channels X. Liu xu.liu-1@nasa.gov D. K. Zhou A. M. Larar W. L. Smith P. Schluessel S. M. Newman J. P. Taylor W. Wu NASA Langley Research Center, Hampton, VA 23681, USA Hampton University, VA 23668, USA and University of Wisconsin, Madison, WI 53706, USA EUMETSAT, Am Kavalleriesand 31, 64295 Darmstadt, Germany Met Office, Exeter, Devon, UK Science Systems and Applications, Inc., Hampton, VA 23666, USA The Infrared Atmospheric Sounding Interferometer (IASI) is an ultra-spectral satellite sensor with 8461 spectral channels. IASI spectra contain high information content on atmospheric, cloud, and surface properties. The instrument presents a challenge for using thousands of spectral channels in a physical retrieval system or in a Numerical Weather Prediction (NWP) data assimilation system. In this paper we describe a method of simultaneously retrieving atmospheric temperature, moisture, and cloud properties using all available IASI channels without sacrificing computational speed. The essence of the method is to convert the IASI channel radiance spectra into super-channels by an Empirical Orthogonal Function (EOF) transformation. Because the EOFs are orthogonal to each other, about 100 super-channels are adequate to capture the information content of the radiance spectra. A Principal Component-based Radiative Transfer Model (PCRTM) is used to calculate both the super-channel magnitudes and derivatives with respect to atmospheric profiles and other properties. 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