Historical reconstruction of background air pollution over France for 2000–2015

<p>This paper describes a 16-year dataset of air pollution concentrations and air quality indicators over France. Using a kriging method that combines background air quality measurements and modeling with the CHIMERE chemistry transport model, hourly concentrations of NO<span class="in...

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Main Authors: E. Real, F. Couvidat, A. Ung, L. Malherbe, B. Raux, A. Gressent, A. Colette
Format: Article
Language:English
Published: Copernicus Publications 2022-05-01
Series:Earth System Science Data
Online Access:https://essd.copernicus.org/articles/14/2419/2022/essd-14-2419-2022.pdf
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author E. Real
F. Couvidat
A. Ung
L. Malherbe
B. Raux
A. Gressent
A. Colette
author_facet E. Real
F. Couvidat
A. Ung
L. Malherbe
B. Raux
A. Gressent
A. Colette
author_sort E. Real
collection DOAJ
description <p>This paper describes a 16-year dataset of air pollution concentrations and air quality indicators over France. Using a kriging method that combines background air quality measurements and modeling with the CHIMERE chemistry transport model, hourly concentrations of NO<span class="inline-formula"><sub>2</sub></span>, O<span class="inline-formula"><sub>3</sub></span>, PM<span class="inline-formula"><sub>10</sub></span> and PM<span class="inline-formula"><sub>2.5</sub></span> are produced with a spatial resolution of about 4 km. Regulatory indicators (annual average, SOMO35 (sum of ozone means over 35 ppb), AOT40 (accumulated ozone exposure over a threshold of 40 ppb), etc.) are also calculated from these hourly data. The NO<span class="inline-formula"><sub>2</sub></span> and O<span class="inline-formula"><sub>3</sub></span> datasets cover the period 2000–2015, as well as the annual PM<span class="inline-formula"><sub>10</sub></span> data. Hourly PM<span class="inline-formula"><sub>10</sub></span> concentrations are not available from 2000 to 2007 due to known artifacts in PM<span class="inline-formula"><sub>10</sub></span> measurements. PM<span class="inline-formula"><sub>2.5</sub></span> data are only available from 2009 onwards due to the limited number of measuring stations available before this date. The overall dataset was evaluated over all years by a cross-validation process against background stations (rural, sub-urban and urban) to take into account the data fusion between measurement and models in the method. The results are very good for PM<span class="inline-formula"><sub>10</sub></span>, PM<span class="inline-formula"><sub>2.5</sub></span> and O<span class="inline-formula"><sub>3</sub></span>. They show an overestimation of NO<span class="inline-formula"><sub>2</sub></span> concentrations in rural areas, while NO<span class="inline-formula"><sub>2</sub></span> background values in urban areas are well represented. Maps of the main indicators are presented over several years, and trends are calculated. Finally, exposure and trends are calculated for the three main health-related indicators: annual averages of PM<span class="inline-formula"><sub>2.5</sub></span>, NO<span class="inline-formula"><sub>2</sub></span> and SOMO35. The DOI link for the dataset is <a href="https://doi.org/10.5281/zenodo.5043645">https://doi.org/10.5281/zenodo.5043645</a> (Real et al., 2021). We hope that the publication of this open dataset will facilitate further studies on the impacts of air pollution.</p>
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spelling doaj.art-11db7dba603941e3a9c664c163f92a4f2022-12-22T00:35:34ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162022-05-01142419244310.5194/essd-14-2419-2022Historical reconstruction of background air pollution over France for 2000–2015E. RealF. CouvidatA. UngL. MalherbeB. RauxA. GressentA. Colette<p>This paper describes a 16-year dataset of air pollution concentrations and air quality indicators over France. Using a kriging method that combines background air quality measurements and modeling with the CHIMERE chemistry transport model, hourly concentrations of NO<span class="inline-formula"><sub>2</sub></span>, O<span class="inline-formula"><sub>3</sub></span>, PM<span class="inline-formula"><sub>10</sub></span> and PM<span class="inline-formula"><sub>2.5</sub></span> are produced with a spatial resolution of about 4 km. Regulatory indicators (annual average, SOMO35 (sum of ozone means over 35 ppb), AOT40 (accumulated ozone exposure over a threshold of 40 ppb), etc.) are also calculated from these hourly data. The NO<span class="inline-formula"><sub>2</sub></span> and O<span class="inline-formula"><sub>3</sub></span> datasets cover the period 2000–2015, as well as the annual PM<span class="inline-formula"><sub>10</sub></span> data. Hourly PM<span class="inline-formula"><sub>10</sub></span> concentrations are not available from 2000 to 2007 due to known artifacts in PM<span class="inline-formula"><sub>10</sub></span> measurements. PM<span class="inline-formula"><sub>2.5</sub></span> data are only available from 2009 onwards due to the limited number of measuring stations available before this date. The overall dataset was evaluated over all years by a cross-validation process against background stations (rural, sub-urban and urban) to take into account the data fusion between measurement and models in the method. The results are very good for PM<span class="inline-formula"><sub>10</sub></span>, PM<span class="inline-formula"><sub>2.5</sub></span> and O<span class="inline-formula"><sub>3</sub></span>. They show an overestimation of NO<span class="inline-formula"><sub>2</sub></span> concentrations in rural areas, while NO<span class="inline-formula"><sub>2</sub></span> background values in urban areas are well represented. Maps of the main indicators are presented over several years, and trends are calculated. Finally, exposure and trends are calculated for the three main health-related indicators: annual averages of PM<span class="inline-formula"><sub>2.5</sub></span>, NO<span class="inline-formula"><sub>2</sub></span> and SOMO35. The DOI link for the dataset is <a href="https://doi.org/10.5281/zenodo.5043645">https://doi.org/10.5281/zenodo.5043645</a> (Real et al., 2021). We hope that the publication of this open dataset will facilitate further studies on the impacts of air pollution.</p>https://essd.copernicus.org/articles/14/2419/2022/essd-14-2419-2022.pdf
spellingShingle E. Real
F. Couvidat
A. Ung
L. Malherbe
B. Raux
A. Gressent
A. Colette
Historical reconstruction of background air pollution over France for 2000–2015
Earth System Science Data
title Historical reconstruction of background air pollution over France for 2000–2015
title_full Historical reconstruction of background air pollution over France for 2000–2015
title_fullStr Historical reconstruction of background air pollution over France for 2000–2015
title_full_unstemmed Historical reconstruction of background air pollution over France for 2000–2015
title_short Historical reconstruction of background air pollution over France for 2000–2015
title_sort historical reconstruction of background air pollution over france for 2000 2015
url https://essd.copernicus.org/articles/14/2419/2022/essd-14-2419-2022.pdf
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AT agressent historicalreconstructionofbackgroundairpollutionoverfrancefor20002015
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