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© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 15 Jul 2019

Submitted as: research article | 15 Jul 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

Incorporation of pollen data in source maps is vital for pollen dispersion models

Alexander Kurganskiy1,2,3, Carsten Ambelas Skjøth3, Alexander Baklanov4, Mikhail Sofiev5, Annika Saarto6, Elena Severova7, Sergej Smyshlyaev2, and Eigil Kaas1 Alexander Kurganskiy et al.
  • 1Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark
  • 2Russian State Hydrometeorological University, St. Petersburg, Russia
  • 3School of Science and the Environment, University of Worcester, Worcester, United Kingdom
  • 4World Meteorological Organization, Geneva, Switzerland
  • 5Finnish Meteorological Institute, Helsinki, Finland
  • 6Biodiversity Unit of the University of Turku, Turku, Finland
  • 7Lomonosov Moscow State University, Moscow, Russia

Abstract. Information about distribution of pollen sources, i.e. their presence and abundance in a specific region, is important especially when atmospheric transport models are applied to forecast pollen concentrations. The goal of this study is to evaluate three pollen source maps using an atmospheric transport model and study the effect on the model results by combining these source maps with pollen data. Here we evaluate three maps for the birch taxon: (1) a map derived by combining land cover data and forest inventory; (2) a map obtained from land cover data and calibrated using model simulations and pollen observations; (3) a statistical map resulting from analysis of forest inventory and forest plot data. The maps were introduced to the Enviro-HIRLAM (Environment – High Resolution Limited Area Model) as input data to simulate birch pollen concentrations over Europe for the birch pollen season 2006. 18 model runs were performed using each of the selected maps in turn with and without calibration with observed pollen data from 2006. The model results were compared with the pollen observation data at 12 measurement sites located in Finland, Denmark and Russia.We show that calibration of the maps using pollen observations significantly improved the model performance for all three maps. The findings also indicate the large sensitivity of the model results to the source maps and agree well with other studies on birch showing that pollen or hybrid-based source maps provide the best model performance. This study highlights the importance of including pollen data in the production of source maps for pollen dispersion modelling and for exposure studies.

Alexander Kurganskiy et al.
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Alexander Kurganskiy et al.
Alexander Kurganskiy et al.
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Short summary
The aim of the study was to evaluate three birch pollen source maps using a state of the art atmospheric model Enviro-HIRLAM. Enviro-HIRLAM is a so-called online model where both weather and air pollution are calculated at all time steps. The evaluation has been performed for 12 pollen observation sites located in Denmark, Finland and Russia.
The aim of the study was to evaluate three birch pollen source maps using a state of the art...