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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 7
Atmos. Meas. Tech., 8, 2749–2757, 2015
https://doi.org/10.5194/amt-8-2749-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 8, 2749–2757, 2015
https://doi.org/10.5194/amt-8-2749-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 09 Jul 2015

Research article | 09 Jul 2015

Maximum likelihood representation of MIPAS profiles

T. von Clarmann et al.
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Cited articles  
Fisher, R. A. and Lucka, D.: Statistsche Methoden für die Wissenschaft, Oliver and Boyd, Edinburgh, 1956.
Funke, B., López-Puertas, M., Stiller, G. P., von Clarmann, T., and Höpfner, M.: A new non–LTE Retrieval Method for Atmospheric Parameters From MIPAS–ENVISAT Emission Spectra, Adv. Space Res., 27, 1099–1104, 2001.
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We propose a user-friendly representation of remotely sensed vertical profiles of atmospheric constituents. The data are provided on a fixed pressure grid coarse enough to allow a virtually unconstrained retrieval. Thus the data user need not apply the averaging kernel. To avoid data interpolation, the grid is chosen to be a subset of the pressure grid often used in the modelling community. For representation, the profiles have been transformed to rectangular base functions.
We propose a user-friendly representation of remotely sensed vertical profiles of atmospheric...
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