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[1] We expand upon methods for retrieving thermal infrared cooling rate profiles, originally developed by Liou and Xue [1988] through application to the inversion of the stratospheric cooling rate produced by carbon dioxide (CO2) and a formal description of the associated error budget. Specifically,...

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Bibliographic Details
Main Authors: D. R. Feldman, K. N. Liou, Y. L. Yung, D. C. Tobin, A. Berk
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.631.6188
http://yly-mac.gps.caltech.edu/ReprintsYLY/A_RecentPapers/Zjunk/Feldman05.pdf
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Summary:[1] We expand upon methods for retrieving thermal infrared cooling rate profiles, originally developed by Liou and Xue [1988] through application to the inversion of the stratospheric cooling rate produced by carbon dioxide (CO2) and a formal description of the associated error budget. Specifically, we infer lower- and mid-stratospheric cooling rates from the CO2 Ȟ2 band on the basis of selected spectral channels and available data from the Atmospheric Infrared Sounder (AIRS). In order to establish the validity of our results, we compare our retrievals to those calculated from a forward radiative transfer program using retrieved temperature data from spectra taken by the Scanning High-Resolution Interferometer Sounder (S-HIS) on two aircraft campaigns: the Mixed-Phase Arctic Cloud Experiment (MPACE) and the Aura Validation Experiment (AVE) both in Fall, 2004. Reasonable and consistent comparisons are illustrated, revealing that spectral radiance data taken by high-resolution infrared sounders can be used to determine the vertical distribution of radiative cooling due to CO2. [2] Conventional clear-sky infrared cooling rates are calculated ubiquitously and the accuracy of these calculations has been shown to affect forecast and general circulation model (GCM)