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...
Main Authors: | , , , |
---|---|
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 |
id |
doaj-6728ab8c83444e95843f6d184c168988 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT rpdamadeo theimpactofnonuniformsamplingonstratosphericozonetrendsderivedfromoccultationinstruments AT jmzawodny theimpactofnonuniformsamplingonstratosphericozonetrendsderivedfromoccultationinstruments AT eeremsberg theimpactofnonuniformsamplingonstratosphericozonetrendsderivedfromoccultationinstruments AT kawalker theimpactofnonuniformsamplingonstratosphericozonetrendsderivedfromoccultationinstruments AT rpdamadeo impactofnonuniformsamplingonstratosphericozonetrendsderivedfromoccultationinstruments AT jmzawodny impactofnonuniformsamplingonstratosphericozonetrendsderivedfromoccultationinstruments AT eeremsberg impactofnonuniformsamplingonstratosphericozonetrendsderivedfromoccultationinstruments AT kawalker impactofnonuniformsamplingonstratosphericozonetrendsderivedfromoccultationinstruments |
_version_ |
1725318602357211136 |