The impact of nonuniform sampling on stratospheric ozone trends derived from occultation instruments

This paper applies a recently developed technique for deriving long-term trends in ozone from sparsely sampled data sets to multiple occultation instruments simultaneously without the need for homogenization. The technique can compensate for the nonuniform temporal, spatial, and diurnal sampling...

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Main Authors: R. P. Damadeo, J. M. Zawodny, E. E. Remsberg, K. A. Walker
Format: Article
Language:English
Published: Copernicus Publications 2018-01-01
Series:Atmospheric Chemistry and Physics
Online Access:https://www.atmos-chem-phys.net/18/535/2018/acp-18-535-2018.pdf
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spelling doaj-6728ab8c83444e95843f6d184c1689882020-11-25T00:32:53ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242018-01-011853555410.5194/acp-18-535-2018The impact of nonuniform sampling on stratospheric ozone trends derived from occultation instrumentsR. P. Damadeo0J. M. Zawodny1E. E. Remsberg2K. A. Walker3NASA Langley Research Center, Hampton, VA, USANASA Langley Research Center, Hampton, VA, USANASA Langley Research Center, Hampton, VA, USAUniversity of Toronto, Department of Physics, Toronto, Ontario, CanadaThis paper applies a recently developed technique for deriving long-term trends in ozone from sparsely sampled data sets to multiple occultation instruments simultaneously without the need for homogenization. The technique can compensate for the nonuniform temporal, spatial, and diurnal sampling of the different instruments and can also be used to account for biases and drifts between instruments. These problems have been noted in recent international assessments as being a primary source of uncertainty that clouds the significance of derived trends. Results show potential <q>recovery</q> trends of  ∼  2–3 % decade<sup>−1</sup> in the upper stratosphere at midlatitudes, which are similar to other studies, and also how sampling biases present in these data sets can create differences in derived recovery trends of up to  ∼  1 % decade<sup>−1</sup> if not properly accounted for. Limitations inherent to all techniques (e.g., relative instrument drifts) and their impacts (e.g., trend differences up to  ∼  2 % decade<sup>−1</sup>) are also described and a potential path forward towards resolution is presented.https://www.atmos-chem-phys.net/18/535/2018/acp-18-535-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author R. P. Damadeo
J. M. Zawodny
E. E. Remsberg
K. A. Walker
spellingShingle R. P. Damadeo
J. M. Zawodny
E. E. Remsberg
K. A. Walker
The impact of nonuniform sampling on stratospheric ozone trends derived from occultation instruments
Atmospheric Chemistry and Physics
author_facet R. P. Damadeo
J. M. Zawodny
E. E. Remsberg
K. A. Walker
author_sort R. P. Damadeo
title The impact of nonuniform sampling on stratospheric ozone trends derived from occultation instruments
title_short The impact of nonuniform sampling on stratospheric ozone trends derived from occultation instruments
title_full The impact of nonuniform sampling on stratospheric ozone trends derived from occultation instruments
title_fullStr The impact of nonuniform sampling on stratospheric ozone trends derived from occultation instruments
title_full_unstemmed The impact of nonuniform sampling on stratospheric ozone trends derived from occultation instruments
title_sort impact of nonuniform sampling on stratospheric ozone trends derived from occultation instruments
publisher Copernicus Publications
series Atmospheric Chemistry and Physics
issn 1680-7316
1680-7324
publishDate 2018-01-01
description This paper applies a recently developed technique for deriving long-term trends in ozone from sparsely sampled data sets to multiple occultation instruments simultaneously without the need for homogenization. The technique can compensate for the nonuniform temporal, spatial, and diurnal sampling of the different instruments and can also be used to account for biases and drifts between instruments. These problems have been noted in recent international assessments as being a primary source of uncertainty that clouds the significance of derived trends. Results show potential <q>recovery</q> trends of  ∼  2–3 % decade<sup>−1</sup> in the upper stratosphere at midlatitudes, which are similar to other studies, and also how sampling biases present in these data sets can create differences in derived recovery trends of up to  ∼  1 % decade<sup>−1</sup> if not properly accounted for. Limitations inherent to all techniques (e.g., relative instrument drifts) and their impacts (e.g., trend differences up to  ∼  2 % decade<sup>−1</sup>) are also described and a potential path forward towards resolution is presented.
url https://www.atmos-chem-phys.net/18/535/2018/acp-18-535-2018.pdf
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