Methods for validation of random uncertainty estimates and their applications to ozone profiles from limb-viewing satellite instruments

Abstract. For satellite measurements of atmospheric composition, the random uncertainty estimates provided by retrieval algorithms might be imperfect due to various approximations used in the retrievals or presence of unknown error sources. This paper presents an overview of the methods used for validation of random uncertainty estimates. All methods discussed in this study are categorized, and assumptions and limitations of each method are discussed. This overview evaluates these methods in application to ozone profile measurements data from limb and occultation satellite instruments and provides practical illustrations of random uncertainty validation.

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Publication Details

Published
2025-09-19
DOI
https://doi.org/10.5194/egusphere-2025-2830
Primary Topic
Atmospheric Ozone and Climate
Type
article
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Methods for validation of random uncertainty estimates and their applications to ozone profiles from limb-viewing satellite instruments

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Methods for validation of random uncertainty estimates and their applications to ozone profiles from limb-viewing satellite instruments

Carlo Arosio, A. Rozanov, Arno Keppens, N. J. Livesey, Viktoria Sofieva, Alexandra Laeng, G. P. Stiller, Daniel Zawada, N. A. Kramarova, Johanna Tamminen, Patrick E. Sheese, D. A. Degenstein, Kaley A. Walker, T. von Clarmann, Robert Damadeo, Michael Kiefer
article en

Abstract

Abstract. For satellite measurements of atmospheric composition, the random uncertainty estimates provided by retrieval algorithms might be imperfect due to various approximations used in the retrievals or presence of unknown error sources. This paper presents an overview of the methods used for validation of random uncertainty estimates. All methods discussed in this study are categorized, and assumptions and limitations of each method are discussed. This overview evaluates these methods in application to ozone profile measurements data from limb and occultation satellite instruments and provides practical illustrations of random uncertainty validation.

Openalex Percentile: Top 70%
Atmospheric Ozone and Climate
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