2018
DOI: 10.5194/amt-2018-199
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Tomographic airborne limb sounder retrievals on irregular grid with second order regularisation

Abstract: 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 s… Show more

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Cited by 3 publications
(3 citation statements)
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“…These factors are chosen ad hoc and cannot be interpreted directly as physically meaningful correlation lengths. A more physical regularisation scheme is currently under development and will be described by Krasauskas et al (2018). This minimisation problem is solved with a truncated conjugate gradient-based trust region scheme.…”
Section: Tomographic Temperature Retrievalmentioning
confidence: 99%
See 1 more Smart Citation
“…These factors are chosen ad hoc and cannot be interpreted directly as physically meaningful correlation lengths. A more physical regularisation scheme is currently under development and will be described by Krasauskas et al (2018). This minimisation problem is solved with a truncated conjugate gradient-based trust region scheme.…”
Section: Tomographic Temperature Retrievalmentioning
confidence: 99%
“…The standard deviations and correlation lengths used for the different systematic errors are summarised in Table 2. The effects of instrument errors on the GLORIA retrieval are discussed in detail by Kleinert et al (2018). The covariance matrix for measurement noise is taken from theoretical estimates given by Friedl-Vallon et al (2014) that agree well with estimates derived from real measurements .…”
Section: Tomographic Temperature Retrievalmentioning
confidence: 99%
“…The standard deviations and correlation lengths used for the different systematic errors are summarised in Table 2. The effects of instrument errors on the GLORIA retrieval are discussed in detail by Kleinert et al (2018). The covariance matrix for measurement noise is taken from theoretical estimates given by Friedl-Vallon et al (2014) that agree well with estimates derived from real measurements (Kleinert et al, 2014).…”
Section: Tomographic Temperature Retrievalmentioning
confidence: 99%