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The application of mean averaging kernels to mean trace gas distributions

Clarmann, Thomas von; Glatthor, Norbert

Abstract:
To avoid unnecessary data traffic it is sometimes desirable to apply mean averaging kernels to mean profiles of atmospheric state variables. Unfortunately, application of averaging kernels and averaging are not commutative in cases when averaging kernels and state variables are correlated. That is to say, the application of individual averaging kernels to individual profiles and subsequent averaging will, in general, lead to different results than averaging of the original profiles prior to the application of the mean averaging kernels unless profiles and averaging kernels are fully independent. The resulting error, however, can be corrected by subtraction of the covariance between the averaging kernel and the vertical profile. Thus it is recommended to calculate the covariance profile along with the mean profile and the mean averaging kernel.

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Verlagsausgabe §
DOI: 10.5445/IR/1000098367
Veröffentlicht am 08.11.2019
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 1867-1381, 1867-8548
KITopen-ID: 1000098367
HGF-Programm 12.04.05 (POF III, LK 01)
Trends,Variaility,Large-Scale Processes
Erschienen in Atmospheric measurement techniques
Band 12
Heft 9
Seiten 5155-5160
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 26.09.2019
Nachgewiesen in Web of Science
Scopus
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