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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-2019-113
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2019-113
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Apr 2019

Research article | 04 Apr 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Harmonization and comparison of vertically resolved atmospheric state observations: Methods, effects, and uncertainty budget

Arno Keppens, Steven Compernolle, Tijl Verhoelst, Daan Hubert, and Jean-Christopher Lambert Arno Keppens et al.
  • Royal Belgian Institute for Space Aeronomy (BIRA-IASB), 1180 Brussels, Belgium

Abstract. Many applications of atmospheric composition and climate data involve the comparison or combination of vertically resolved atmospheric state variables. Calculating differences and combining data require harmonization of data representations in terms of physical quantities and vertical sampling at least. If one or both datasets result from a retrieval process, knowledge of prior information and averaging kernel matrices in principle allows accounting for retrieval differences as well. Spatiotemporal mismatch of the sensed air masses and its contribution to the data discrepancies can be estimated with chemistry-transport modelling support. In this work an overview of harmonization or matching operations for atmospheric profile observations is provided. The effect of these manipulations on the information content of the original data and on the uncertainty budget of data comparisons is examined and discussed.

Arno Keppens et al.
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Arno Keppens et al.
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Short summary
This work discusses the most frequent methods for the harmonization of vertically resolved atmospheric state observations in a conceptually and terminologically aligned framework. Ten matching operations have been identified and expressed by common matrix algebra. The effect of these manipulations on the information content of the original data and on the uncertainty budget of data comparisons has been examined and discussed.
This work discusses the most frequent methods for the harmonization of vertically resolved...
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