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author Boreczek, Jan
Werner, Małgorzata
Kryza, Maciej
Malkiewicz, Małgorzata
Benedictow, Anna
Chłopek, Kazimiera
Dąbrowska-Zapart, Katarzyna
Grewling, Łukasz
Lipiec, Agnieszka
Kalinowska, Ewa
Rapiejko, Joanna
Majkowska-Wojciechowska, Barbara
Myszkowska, Dorota
Piotrowska-Weryszko, Krystyna
Puc, Małgorzata
Siergiejko, Grzegorz
Rapiejko, Anna
Valdebenito, Alvaro
Weryszko-Chmielewska, Elżbieta
Ziemianin, Monika
author_facet Boreczek, Jan
Werner, Małgorzata
Kryza, Maciej
Malkiewicz, Małgorzata
Benedictow, Anna
Chłopek, Kazimiera
Dąbrowska-Zapart, Katarzyna
Grewling, Łukasz
Lipiec, Agnieszka
Kalinowska, Ewa
Rapiejko, Joanna
Majkowska-Wojciechowska, Barbara
Myszkowska, Dorota
Piotrowska-Weryszko, Krystyna
Puc, Małgorzata
Siergiejko, Grzegorz
Rapiejko, Anna
Valdebenito, Alvaro
Weryszko-Chmielewska, Elżbieta
Ziemianin, Monika
Boreczek, Jan
Werner, Małgorzata
Kryza, Maciej
Malkiewicz, Małgorzata
Benedictow, Anna
Chłopek, Kazimiera
Dąbrowska-Zapart, Katarzyna
Grewling, Łukasz
Lipiec, Agnieszka
Kalinowska, Ewa
Rapiejko, Joanna
Majkowska-Wojciechowska, Barbara
Myszkowska, Dorota
Piotrowska-Weryszko, Krystyna
Puc, Małgorzata
Siergiejko, Grzegorz
Rapiejko, Anna
Valdebenito, Alvaro
Weryszko-Chmielewska, Elżbieta
Ziemianin, Monika
collection PubMed - marine biology
contents Modelling of airborne birch pollen over Central Europe - model evaluation and sensitivity analysis. Boreczek, Jan Werner, Małgorzata Kryza, Maciej Malkiewicz, Małgorzata Benedictow, Anna Chłopek, Kazimiera Dąbrowska-Zapart, Katarzyna Grewling, Łukasz Lipiec, Agnieszka Kalinowska, Ewa Rapiejko, Joanna Majkowska-Wojciechowska, Barbara Myszkowska, Dorota Piotrowska-Weryszko, Krystyna Puc, Małgorzata Siergiejko, Grzegorz Rapiejko, Anna Valdebenito, Alvaro Weryszko-Chmielewska, Elżbieta Ziemianin, Monika 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.
format Artículo científico
id pubmed_40554162
institution PubMed
language en
publishDate 2025
publisher The Science of the total environment
record_format pubmed
spellingShingle Modelling of airborne birch pollen over Central Europe - model evaluation and sensitivity analysis.
Boreczek, Jan
Werner, Małgorzata
Kryza, Maciej
Malkiewicz, Małgorzata
Benedictow, Anna
Chłopek, Kazimiera
Dąbrowska-Zapart, Katarzyna
Grewling, Łukasz
Lipiec, Agnieszka
Kalinowska, Ewa
Rapiejko, Joanna
Majkowska-Wojciechowska, Barbara
Myszkowska, Dorota
Piotrowska-Weryszko, Krystyna
Puc, Małgorzata
Siergiejko, Grzegorz
Rapiejko, Anna
Valdebenito, Alvaro
Weryszko-Chmielewska, Elżbieta
Ziemianin, Monika
Modelling of airborne birch pollen over Central Europe - model evaluation and sensitivity analysis. Boreczek, Jan Werner, Małgorzata Kryza, Maciej Malkiewicz, Małgorzata Benedictow, Anna Chłopek, Kazimiera Dąbrowska-Zapart, Katarzyna Grewling, Łukasz Lipiec, Agnieszka Kalinowska, Ewa Rapiejko, Joanna Majkowska-Wojciechowska, Barbara Myszkowska, Dorota Piotrowska-Weryszko, Krystyna Puc, Małgorzata Siergiejko, Grzegorz Rapiejko, Anna Valdebenito, Alvaro Weryszko-Chmielewska, Elżbieta Ziemianin, Monika 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.
title Modelling of airborne birch pollen over Central Europe - model evaluation and sensitivity analysis.
url https://pubmed.ncbi.nlm.nih.gov/40554162/