Accounting for local meteorological effects in the ozone time-series of Lovozero (Kola Peninsula)

The relationship between local meteorological conditions and the surface ozone variability was studied by means of statistical modeling, using ozone and meteorological parameters measured at Lovozero (250 m a.s.l., 68.5°N, 35.0°E, Kola Peninsula) for the period of 1999-2000. The regression model of...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Tarasova, O. A., Karpetchko, A. Yu.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/acp-3-941-2003
https://www.atmos-chem-phys.net/3/941/2003/
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spelling ftcopernicus:oai:publications.copernicus.org:acp3390 2023-05-15T17:04:54+02:00 Accounting for local meteorological effects in the ozone time-series of Lovozero (Kola Peninsula) Tarasova, O. A. Karpetchko, A. Yu. 2018-06-29 application/pdf https://doi.org/10.5194/acp-3-941-2003 https://www.atmos-chem-phys.net/3/941/2003/ eng eng doi:10.5194/acp-3-941-2003 https://www.atmos-chem-phys.net/3/941/2003/ eISSN: 1680-7324 Text 2018 ftcopernicus https://doi.org/10.5194/acp-3-941-2003 2019-12-24T09:59:30Z The relationship between local meteorological conditions and the surface ozone variability was studied by means of statistical modeling, using ozone and meteorological parameters measured at Lovozero (250 m a.s.l., 68.5°N, 35.0°E, Kola Peninsula) for the period of 1999-2000. The regression model of daily mean ozone concentrations on such meteorological parameters as temperature, relative humidity and wind speed explains up to 70% of day-to-day ozone variability in terms of meteorological condition changes, if the seasonal cycle is also considered. A regression model was created for separated time scales of the variables. Short-term, synoptical and seasonal components are separated by means of Kolmogorov-Zurbenko filtering. The synoptical scale variations were chosen as the most informative from the point of their mutual relation with meteorological parameters. Almost 40% of surface ozone variations in time periods of 11-60 days can be explained by the regression model on separated scales that is 30% more efficient than ozone residuals usage. Quantitative and qualitative estimations of the relations between surface ozone and meteorological predictors let us preliminarily conclude that at the Lovozero site surface ozone variability is governed mainly by dynamical processes of various time scale rather than photochemistry, especially during the cold season. Text kola peninsula Copernicus Publications: E-Journals Kola Peninsula Lovozero ENVELOPE(35.016,35.016,68.006,68.006) Atmospheric Chemistry and Physics 3 4 941 949
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The relationship between local meteorological conditions and the surface ozone variability was studied by means of statistical modeling, using ozone and meteorological parameters measured at Lovozero (250 m a.s.l., 68.5°N, 35.0°E, Kola Peninsula) for the period of 1999-2000. The regression model of daily mean ozone concentrations on such meteorological parameters as temperature, relative humidity and wind speed explains up to 70% of day-to-day ozone variability in terms of meteorological condition changes, if the seasonal cycle is also considered. A regression model was created for separated time scales of the variables. Short-term, synoptical and seasonal components are separated by means of Kolmogorov-Zurbenko filtering. The synoptical scale variations were chosen as the most informative from the point of their mutual relation with meteorological parameters. Almost 40% of surface ozone variations in time periods of 11-60 days can be explained by the regression model on separated scales that is 30% more efficient than ozone residuals usage. Quantitative and qualitative estimations of the relations between surface ozone and meteorological predictors let us preliminarily conclude that at the Lovozero site surface ozone variability is governed mainly by dynamical processes of various time scale rather than photochemistry, especially during the cold season.
format Text
author Tarasova, O. A.
Karpetchko, A. Yu.
spellingShingle Tarasova, O. A.
Karpetchko, A. Yu.
Accounting for local meteorological effects in the ozone time-series of Lovozero (Kola Peninsula)
author_facet Tarasova, O. A.
Karpetchko, A. Yu.
author_sort Tarasova, O. A.
title Accounting for local meteorological effects in the ozone time-series of Lovozero (Kola Peninsula)
title_short Accounting for local meteorological effects in the ozone time-series of Lovozero (Kola Peninsula)
title_full Accounting for local meteorological effects in the ozone time-series of Lovozero (Kola Peninsula)
title_fullStr Accounting for local meteorological effects in the ozone time-series of Lovozero (Kola Peninsula)
title_full_unstemmed Accounting for local meteorological effects in the ozone time-series of Lovozero (Kola Peninsula)
title_sort accounting for local meteorological effects in the ozone time-series of lovozero (kola peninsula)
publishDate 2018
url https://doi.org/10.5194/acp-3-941-2003
https://www.atmos-chem-phys.net/3/941/2003/
long_lat ENVELOPE(35.016,35.016,68.006,68.006)
geographic Kola Peninsula
Lovozero
geographic_facet Kola Peninsula
Lovozero
genre kola peninsula
genre_facet kola peninsula
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-3-941-2003
https://www.atmos-chem-phys.net/3/941/2003/
op_doi https://doi.org/10.5194/acp-3-941-2003
container_title Atmospheric Chemistry and Physics
container_volume 3
container_issue 4
container_start_page 941
op_container_end_page 949
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