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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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 |
work_keys_str_mv |
AT gbiavati errorestimationforlocalizedsignalpropertiesapplicationtoatmosphericmixingheightretrievals AT dgfeist errorestimationforlocalizedsignalpropertiesapplicationtoatmosphericmixingheightretrievals AT cgerbig errorestimationforlocalizedsignalpropertiesapplicationtoatmosphericmixingheightretrievals AT rkretschmer errorestimationforlocalizedsignalpropertiesapplicationtoatmosphericmixingheightretrievals |
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1725816115875020800 |