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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 1
Atmos. Meas. Tech., 11, 529-550, 2018
https://doi.org/10.5194/amt-11-529-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 11, 529-550, 2018
https://doi.org/10.5194/amt-11-529-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 25 Jan 2018

Research article | 25 Jan 2018

Single-footprint retrievals for AIRS using a fast TwoSlab cloud-representation model and the SARTA all-sky infrared radiative transfer algorithm

Sergio DeSouza-Machado et al.
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Cited articles  
Allan, R., Slingo, A., Milton, S., and Culverwell, I.: Exploitation of Geostationary Earth Radiation Budget data using simulations from a numerical weather prediction model: Methodology and data validation, J. Geophys. Res., 110, D14111, https://doi.org/10.1029/2004JD005698, 2005.
August, T., Klaes, D., Schlussel, P., Hultberg, T., Crapeau, M., Arriaga, A., O'Carroll, A., Coppens, D., Munro, R., and Calbet, X.: IASI on Metop-A : Operational Level 2 retrievals after 5 years in orbit, J. Quant. Spectrosc. Ra., 113, 1340–1371, https://doi.org/10.1016/j.jqsrt.2012.02.028, 2012.
Aumann, H. and Pagano, T.: First light results from AIRS on EOS AQUA, in: Proceedings of the SPIE Conference 5548-42, Optical Science and Technology, Crete, 2002.
Aumann, H., Broberg, S., Elliot, D., Gaiser, S., and Gregorich, D.: Three years of AIRS radiometric calibration validation using sea surface temperatures, J. Geophys. Res., 111, 2156–2202, https://doi.org/10.1029/2005JD006822, 2006.
Bauer, P., Auligne, T., Bell, W., Geer, A., Guidard, V., Heilliette, S., Kazumori, M., Kim, M.-J., Liu, E., McNally, A., MacPherson, B., Okamato, K., Renshaw, R., and Riishojgaard, L.-P.: Satellite cloud and precipitation assimilation at operational NWP centres, Q. J. Roy. Meteorol. Soc., 137, 1934–1951, https://doi.org/10.1002/QJ.905, 2011.
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Thermodynamic fields retrieved from orbiting infrared sounders use a derived set of measurements as their starting point, rather than the actual observations. This leads to problems with noise and sampling. We have developed a fast accurate model with a simple vertical representation of clouds in the atmosphere for use in retrievals, which allows us to use all the actual low-noise measurements at full resolution. These should eventually help produce more accurate weather forecasts.
Thermodynamic fields retrieved from orbiting infrared sounders use a derived set of...
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