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Merging High Spectral Resolution Sounder Data with High Spatial Resolution Imager Data to infer Global Cloud Cover Properties

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Abstract

The frequency of occurrence of upper tropospheric clouds has been extracted from NOAA/HIRS polar orbiting satellite data from 1979 onwards using CO2 slicing to infer cloud amount and height. This has been continued with MODIS data on the Terra and Aqua platforms. Algorithm adjustments for instrument noise, sensor to sensor differences, viewing angle, spectral response shifts, calculated versus measured radiance biases, changing CO2 and O3 amounts, and investigator error have been studied. CALIPSO measurements are being used to verify the adjustments in the CO2 slicing algorithm. More recently high spectral resolution sounder data from AIRS has been combined with the multispectral high spatial resolution MODIS data to infer improved cloud properties. Some lessons learned are being documented and applied to the sounder / imager combination offered by HIRS / AVHRR where the PATMOS-x output is being integrated into the HIRS CO2 slicing algorithm. This paper touches on all of these topics.

© 2009 Optical Society of America

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