Preprints
https://doi.org/10.5194/acp-2021-527
https://doi.org/10.5194/acp-2021-527

  06 Jul 2021

06 Jul 2021

Review status: this preprint is currently under review for the journal ACP.

Technical note: Quality assessment of ozone reanalysis products over subarctic Europe for biome modeling and ozone risk mapping

Stefanie Falk1, Ane Victoria Vollsnes2, Aud Eriksen2, Frode Stordal1, and Terje Koren Berntsen1 Stefanie Falk et al.
  • 1Department of Geosciences, University of Oslo, Oslo, Norway
  • 2Department of Biosciences, University of Oslo, Oslo, Norway

Abstract. We assess the quality of regional or global ozone reanalysis data for biome modeling and ozone (O3) risk mapping over subarctic Europe where monitoring is sparse. Reanalysis data can be subject to systematic errors originating from, e.g., quality of assimilated data, distribution and strength of precursor sources, incomprehensive atmospheric chemistry or land-atmosphere exchange, and spatiotemporal resolution. Here, we evaluate three selected global and regional ozone reanalysis products. Our analysis suggests that global reanalysis products do not reproduce observed ground-level ozone well in the subarctic region. Only the Copernicus Atmosphere Monitoring Service Regional Air Quality (CAMSRAQ) reanalysis ensemble sufficiently captures the observed seasonal cycle. We computed the root mean square error (RMSE) by season. The RMSE variation between (2.6–6.6) ppb suggests inherent challenges even for the best reanalysis product (CAMSRAQ). O3 concentrations in the region are systematically underestimated by (2–6) ppb compared to the tropospheric background ozone concentrations derived from observations. Furthermore, we explore the suitability of the CAMSRAQ for gap-filling at one site in northern Norway with a long-term record but not belonging to the observational network. We devise a reconstruction method based on Reynolds decomposition and adhere to recommendations by the United Nations Economic Commission for Europe (UNECE) Long Range Transboundary Air Pollution (LRTAP) convention. The thus reconstructed data for two weeks in July 2018 are compared with CAMSRAQ evaluated at the nearest neighboring grid point. Our reconstruction method performs better (78 % accuracy) than CAMSRAQ (73 % accuracy) but diurnal extremes are underestimated by both.

Stefanie Falk et al.

Status: open (until 17 Aug 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Stefanie Falk et al.

Stefanie Falk et al.

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Short summary
We evaluate regional and global models for ozone modeling and damage risk mapping of vegetation over subarctic Europe. Our analysis suggests that low-resolution global models do not reproduce the observed ozone seasonal cycle at ground level underestimating ozone by 30–50 %. High-resolution regional models capture the seasonal cycle well still underestimating ozone by up to 20 %. Our proposed gap-filling method for site observations shows a 78 % accuracy compared to the regional model (73 %).
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