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 the presence of unknown error sources. This paper presents an overview of the methods used for the 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 from limb and occultation satellite instruments and provides practical illustrations of random uncertainty validation.

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Publication Details

Journal
Atmospheric measurement techniques
Published
2026-03-16
DOI
https://doi.org/10.5194/amt-19-1837-2026
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
0.00

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article

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

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Atmospheric measurement techniques
Atmospheric Ozone and Climate
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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, Viktoria Sofieva, G. P. Stiller, N. A. Kramarova, K. A. Walker, Johanna Tamminen, Patrick E. Sheese, D. A. Degenstein, Robert Damadeo, Thomas von Clarmann, Alexandra Laeng, Michael Kiefer, Nathaniel Livesey, Daniel Zawada
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 the presence of unknown error sources. This paper presents an overview of the methods used for the 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 from limb and occultation satellite instruments and provides practical illustrations of random uncertainty validation.

Atmospheric measurement techniquesVol. 19(5)
Karlsruhe Institute of Technology (DE), Finnish Meteorological Institute (FI), Goddard Space Flight Center (US), Langley Research Center (US), Jet Propulsion Laboratory (US), University of Bremen (DE), University of Toronto (CA), Royal Belgian Institute for Space Aeronomy (BE), University of Saskatchewan (CA)
National Aeronautics and Space Administration, California Institute of Technology, Freie Hansestadt Bremen, European Space Agency, Universität Bremen, Jet Propulsion Laboratory, Canadian Space Agency
Openalex Percentile: Top 13%
Atmospheric Ozone and Climate
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