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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2018-199
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2018-199
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Jul 2018

Research article | 12 Jul 2018

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Atmospheric Measurement Techniques (AMT) and is expected to appear here in due course.

Tomographic airborne limb sounder retrievals on irregular grid with second order regularisation

Lukas Krasauskas1, Jörn Ungermann1, Stefan Ensmann1, Isabell Krisch1, Erik Kretschmer2, Peter Preusse1, and Martin Riese1 Lukas Krasauskas et al.
  • 1Institute of Energy and Climate Research – Stratosphere (IEK-7), Research centre Jülich GmbH, Jülich, Germany
  • 2The Institute of Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology, Karlsruhe, Germany

Abstract. Multiple limb sounder measurements of the same atmospheric region taken from different directions can be combined in a 3D tomographic retrieval. Mathematically, this is a computationally expensive inverse modelling problem. It typically requires an introduction of some general knowledge of the atmosphere (regularisation) due to its underdetermined nature.

This paper introduces a consistent, physically motivated (no ad-hoc unphysical parameters) variant of the Tikhonov regularisation scheme based on spatial derivatives of first and second order. As shown by a case study with synthetic data, this scheme, combined with irregular grid retrieval methods, improves both upon the quality and the computational cost of 3D tomography, while eliminating grid dependence and the need to tune parameters for each use case. The few physical parameters required can be derived from in situ measurements and model data. An efficient Monte Carlo technique was adopted for retrieval accuracy estimation.

Lukas Krasauskas et al.
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Lukas Krasauskas et al.
Lukas Krasauskas et al.
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Short summary
Many limb sounder measurements of the same atmospheric region taken from different angles can be combined into a 3D tomographic image of the atmosphere. Mathematically, this is a complex, computationally expensive, underdetermined problem that needs additional constraints (regularisation). We introduce an improved regularisation method based on physical properties of the atmosphere with a new irregular grid implementation. Simulated data tests show improved results and lower computational cost.
Many limb sounder measurements of the same atmospheric region taken from different angles can be...
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