25 May 2022
25 May 2022
Status: this preprint is currently under review for the journal AMT.

TUNER-compliant error estimation for MIPAS

Thomas von Clarmann1, Norbert Glatthor1, Udo Grabowski1, Bernd Funke2, Michael Kiefer1, Anne Kleinert1, Gabriele P. Stiller1, Andrea Linden1, and Sylvia Kellmann1 Thomas von Clarmann et al.
  • 1Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Karlsruhe, Germany
  • 2Instituto de Astrofísica de Andalucía, CSIC, Spain

Abstract. This paper describes the error estimation for temperature and trace gas mixing ratios retrieved from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) limb emission spectra. The following error sources are taken into account: measurement noise, propagated temperature and pointing noise, uncertainties of the abundances of spectrally interfering species, instrument line shape errors, and spectroscopic data uncertainties in terms of line intensities and broadening coefficients. Furthermore, both the direct impact of volatile as well as persistent gain calibration uncertainties, offset calibration and spectral calibration uncertainties and their impact through propagated calibration-related temperature and pointing uncertainties are considered. An error source specific to the MIPAS upper atmospheric observation mode is the propagation of the smoothing error crosstalk of the combined NO and temperature retrieval. Whenever non-local thermodynamic equilibrium modelling is used in the retrieval, also related kinetic constants and mixing ratios of species involved in the modelling of populations of excitational states contribute to the error budget. Both generalized Gaussian error propagation and perturbation studies are used to estimate the error components. Error correlations are taken into account. Estimated uncertainties are provided for a multitude of atmospheric conditions. Some error sources were found to contribute both to the random and the systematic component of the total estimated error. The sequential nature of the MIPAS retrievals gives rise to entangled errors. These are caused by error sources that affect the uncertainty of the final data product via multiple pathways, i.e., on the one hand directly, and on the other hand via errors caused in a preceding retrieval step. These errors tend to partly compensate each other. The hard-to-quantify effect of the horizontally non-homogeneous atmosphere and unknown error correlations of spectroscopic data are considered as the major limitations of the MIPAS error estimation.

Thomas von Clarmann et al.

Status: open (until 15 Jul 2022)

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  • RC1: 'RC: Comment on amt-2022-152', Chris Boone, 30 Jun 2022 reply

Thomas von Clarmann et al.

Thomas von Clarmann et al.


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Short summary
Errors of profiles of temperature and mixing ratios retrieved from spectra recorded with the Michelson Interferometer for Passive Atmospheric Sounding are estimated. All known and quantified sources of uncertainty are considered. Some ingoing uncertaities contribute both to the random and to the systematic error. In some cases, one source of uncertainty propagates onto the error budget via multiple pathways. Problems arise when correlations of errors to be propagated are unknown.