Modelling of airborne birch pollen over Central Europe – model evaluation and sensitivity analysis

In this study, we applied the EMEP MSC-W chemical transport model, extended to include birch pollen emissions and dispersion, over Central Europe. Simulations were run for five consecutive birch pollen seasons (2015-2019), covering various concentration regimes (high, low or moderate seasons). Model predictions were compared to observational data from 12 stations located across Poland. The model consistently predicted earlier start and end dates for the pollen season compared to observations, and generally underestimated pollen concentrations and seasonal pollen integrals (SPIn), especially during high-concentration seasons. A sensitivity analysis was conducted for two selected years (2018 and 2019), adjusting key parameters such as total pollen amount, season length in degree-days, and the heat-sum threshold for season onset. Results showed that modifying the total pollen amount proportionally increased concentrations, while extending the season length tended to decrease early season concentrations, and increase late season concentrations, simultaneously delaying the end of the season. Adjusting the heat-sum threshold for the season start delayed the season, impacting its overall characteristics. Modifying these parameters improved model accuracy, particularly in predicting season onset, which was critical for accurately simulating the temporal dynamics of the pollen season.

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Publication Details

Journal
The Science of The Total Environment
Published
2025-06-18
DOI
https://doi.org/10.1016/j.scitotenv.2025.179873
Citations
1
Primary Topic
Allergic Rhinitis and Sensitization
Type
article
Field-Weighted Citation Impact
1.62

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article

Modelling of airborne birch pollen over Central Europe – model evaluation and sensitivity analysis

Barbara Majkowska‐Wojciechowska, Łukasz Grewling, Maciej Kryza, Agnieszka Lipiec et al.
1 citations
The Science of The Total Environment
Allergic Rhinitis and Sensitization
1.62
article

Modelling of airborne birch pollen over Central Europe – model evaluation and sensitivity analysis

Barbara Majkowska‐Wojciechowska, Łukasz Grewling, Maciej Kryza, Agnieszka Lipiec, Ewa Kalinowska, Małgorzata Werner, Monika Ziemianin, Álvaro Valdebenito, Anna Rapiejko, Katarzyna Dąbrowska-Zapart, Dorota Myszkowska, Krystyna Piotrowska-Weryszko, Elżbieta Weryszko‐Chmielewska, Małgorzata Puc, Joanna Rapiejko, Grzegorz Siergiejko, Kazimiera Chłopek, Anna Benedictow, Małgorzata Malkiewicz, Jan Boreczek
article en
1 citations

Abstract

In this study, we applied the EMEP MSC-W chemical transport model, extended to include birch pollen emissions and dispersion, over Central Europe. Simulations were run for five consecutive birch pollen seasons (2015-2019), covering various concentration regimes (high, low or moderate seasons). Model predictions were compared to observational data from 12 stations located across Poland. The model consistently predicted earlier start and end dates for the pollen season compared to observations, and generally underestimated pollen concentrations and seasonal pollen integrals (SPIn), especially during high-concentration seasons. A sensitivity analysis was conducted for two selected years (2018 and 2019), adjusting key parameters such as total pollen amount, season length in degree-days, and the heat-sum threshold for season onset. Results showed that modifying the total pollen amount proportionally increased concentrations, while extending the season length tended to decrease early season concentrations, and increase late season concentrations, simultaneously delaying the end of the season. Adjusting the heat-sum threshold for the season start delayed the season, impacting its overall characteristics. Modifying these parameters improved model accuracy, particularly in predicting season onset, which was critical for accurately simulating the temporal dynamics of the pollen season.

The Science of The Total EnvironmentVol. 990
University of Szczecin (PL), Wrocław University of Science and Technology (PL), Jagiellonian University (PL), Norwegian Meteorological Institute (NO), University of Life Sciences in Lublin (PL), University of Wrocław (PL), Medical University of Warsaw (PL), University Clinical Hospital In Bialystok (PL), Medical University of Lodz (PL), Instytut Nauk Geologicznych (PL), Adam Mickiewicz University in Poznań (PL), University of Silesia in Katowice (PL)
Narodowe Centrum Nauki
Climate action
Openalex Percentile: Top 18%
Allergic Rhinitis and Sensitization
1.62
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