Error estimation for localized signal properties: application to atmospheric mixing height retrievals

The mixing height is a key parameter for many applications that relate surface–atmosphere exchange fluxes to atmospheric mixing ratios, e.g., in atmospheric transport modeling of pollutants. The mixing height can be estimated with various methods: profile measurements from radiosondes as well as rem...

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Main Authors: G. Biavati, D. G. Feist, C. Gerbig, R. Kretschmer
Format: Article
Language:English
Published: Copernicus Publications 2015-10-01
Series:Atmospheric Measurement Techniques
Online Access:http://www.atmos-meas-tech.net/8/4215/2015/amt-8-4215-2015.pdf
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spelling doaj-05a89db91323472f82111dec3d88dd7d2020-11-24T22:08:32ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482015-10-018104215423010.5194/amt-8-4215-2015Error estimation for localized signal properties: application to atmospheric mixing height retrievalsG. Biavati0D. G. Feist1C. Gerbig2R. Kretschmer3Max Planck Institute for Biogeochemistry, Jena, GermanyMax Planck Institute for Biogeochemistry, Jena, GermanyMax Planck Institute for Biogeochemistry, Jena, GermanyMax Planck Institute for Biogeochemistry, Jena, GermanyThe mixing height is a key parameter for many applications that relate surface–atmosphere exchange fluxes to atmospheric mixing ratios, e.g., in atmospheric transport modeling of pollutants. The mixing height can be estimated with various methods: profile measurements from radiosondes as well as remote sensing (e.g., optical backscatter measurements). For quantitative applications, it is important to estimate not only the mixing height itself but also the uncertainty associated with this estimate. However, classical error propagation typically fails on mixing height estimates that use thresholds in vertical profiles of some measured or measurement-derived quantity. Therefore, we propose a method to estimate the uncertainty of an estimation of the mixing height. The uncertainty we calculate is related not to the physics of the boundary layer (e.g., entrainment zone thickness) but to the quality of the analyzed signals. The method relies on the concept of statistical confidence and on the knowledge of the measurement errors. It can also be applied to problems outside atmospheric mixing height retrievals where properties have to be assigned to a specific position, e.g., the location of a local extreme.http://www.atmos-meas-tech.net/8/4215/2015/amt-8-4215-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author G. Biavati
D. G. Feist
C. Gerbig
R. Kretschmer
spellingShingle G. Biavati
D. G. Feist
C. Gerbig
R. Kretschmer
Error estimation for localized signal properties: application to atmospheric mixing height retrievals
Atmospheric Measurement Techniques
author_facet G. Biavati
D. G. Feist
C. Gerbig
R. Kretschmer
author_sort G. Biavati
title Error estimation for localized signal properties: application to atmospheric mixing height retrievals
title_short Error estimation for localized signal properties: application to atmospheric mixing height retrievals
title_full Error estimation for localized signal properties: application to atmospheric mixing height retrievals
title_fullStr Error estimation for localized signal properties: application to atmospheric mixing height retrievals
title_full_unstemmed Error estimation for localized signal properties: application to atmospheric mixing height retrievals
title_sort error estimation for localized signal properties: application to atmospheric mixing height retrievals
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2015-10-01
description The mixing height is a key parameter for many applications that relate surface–atmosphere exchange fluxes to atmospheric mixing ratios, e.g., in atmospheric transport modeling of pollutants. The mixing height can be estimated with various methods: profile measurements from radiosondes as well as remote sensing (e.g., optical backscatter measurements). For quantitative applications, it is important to estimate not only the mixing height itself but also the uncertainty associated with this estimate. However, classical error propagation typically fails on mixing height estimates that use thresholds in vertical profiles of some measured or measurement-derived quantity. Therefore, we propose a method to estimate the uncertainty of an estimation of the mixing height. The uncertainty we calculate is related not to the physics of the boundary layer (e.g., entrainment zone thickness) but to the quality of the analyzed signals. The method relies on the concept of statistical confidence and on the knowledge of the measurement errors. It can also be applied to problems outside atmospheric mixing height retrievals where properties have to be assigned to a specific position, e.g., the location of a local extreme.
url http://www.atmos-meas-tech.net/8/4215/2015/amt-8-4215-2015.pdf
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