Articles | Volume 20, issue 4
https://doi.org/10.5194/acp-20-2099-2020
https://doi.org/10.5194/acp-20-2099-2020
Research article
 | 
26 Feb 2020
Research article |  | 26 Feb 2020

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

Alexander Kurganskiy, Carsten Ambelas Skjøth, Alexander Baklanov, Mikhail Sofiev, Annika Saarto, Elena Severova, Sergei Smyshlyaev, and Eigil Kaas

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Cited articles

Bachert, C., Vignola, A. M., Gevaert, P., Leynaert, B., Van Cauwenberge, P., and Bousquet, J.: Allergic rhinitis, rhinosinusitis, and asthma: one airway disease, Immunol. Allergy Clin., 24, 19–43, 2004. a
Baklanov, A. and Sørensen, J.: Parameterisation of radionuclide deposition in atmospheric long-range transport modelling, Phys. Chem. Earth Pt. B, 26, 787–799, https://doi.org/10.1016/S1464-1909(01)00087-9, 2001. a
Baklanov, A., Smith Korsholm, U., Nuterman, R., Mahura, A., Nielsen, K. P., Sass, B. H., Rasmussen, A., Zakey, A., Kaas, E., Kurganskiy, A., Sørensen, B., and González-Aparicio, I.: Enviro-HIRLAM online integrated meteorology–chemistry modelling system: strategy, methodology, developments and applications (v7.2), Geosci. Model Dev., 10, 2971–2999, https://doi.org/10.5194/gmd-10-2971-2017, 2017. a, b, c
Belward, A., Estes, J., and Kline, K.: The IGBP-DIS 1-Km Land-Cover Data Set DISCover: A Project Overview, Photogramm. Eng. Rem. S., 65, 1013–1020, 1999. a
Bonini, M., Šikoparija, B., Prentović, M., Cislaghi, G., Colombo, P., Testoni, C., Grewling, L., Lommen, S. T. E., Müller-Schärer, H., and Smith, M.: Is the recent decrease in airborne Ambrosia pollen in the Milan area due to the accidental introduction of the ragweed leaf beetle Ophraella communa?, Aerobiologia, 31, 499–513, 2015. a
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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.
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