Abstract
The ARA (Atmospheric Radiation Analysis) group at LMD has developed an expertise in the retrieval of atmospheric temperature and moisture profiles with the “3I” algorithm using TOVS observations. However, for operational numerical weather prediction on climate research, the weaknesses of these observations are well recognized, namely insufficient vertical resolution and accuracy (= 2K rms in temperature and 20–30% in water vapor profiles). High spectral resolution infrared sounders like AIRS (Atmospheric Infrared Sounder) or IASI (Improved Atmospheric Sounding in the Infrared) will provide a great improvement in the retrieval of atmospheric and surface properties. An increase in the spectral resolution of the observations must be accompanied by improvements in processing tools to be successful. Important developments include a good knowledge of spectroscopic line parameters, a fast and accurate radiative transfer model, a carefully selected set of channels throughout the infrared spectrum and a well elaborated retrieval/assimilation procedure. This paper presents an overview of these developments, with special emphasis being given to the latter.
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References
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Chédin, A., Scott, N.A., Chéruy, F., Tournier, B. (1993). The “Advanced-3I (Improved Initialization Inversion)” Method for the Processing of Next Generation Sounder Observations. In: Chedin, A., Chahine, M.T., Scott, N.A. (eds) High Spectral Resolution Infrared Remote Sensing for Earth’s Weather and Climate Studies. NATO ASI Series, vol 9. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84599-4_5
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DOI: https://doi.org/10.1007/978-3-642-84599-4_5
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