Skip to main content
Log in

Pollen forecasts in complex topography: two case studies from the Alps using the numerical pollen forecast model COSMO-ART

  • Original Paper
  • Published:
Aerobiologia Aims and scope Submit manuscript

Abstract

Pollen concentrations on Alpine mountain tops are poorly known due to few observations and few modeling studies. We present two case studies from the Alps that provide insights into the spatial and temporal distribution of birch pollen. The numerical pollen dispersion model COSMO-ART (COnsortium for Small-scale MOdelling-Aerosols and Reactive Trace gases) was used to simulate the birch pollen transport during the 2017 pollen season. The model configuration included 1.1-km horizontal grid spacing and 80 vertical levels. The simulations were compared with daily pollen concentrations from two mountain tops in the Alps (Weissfluhjoch near Davos, Switzerland, at 2692 m and Schneefernerhaus, Germany, at 2650 m a.s.l.). In addition, the Swiss pollen stations at Davos (1587 m a.s.l.) and Buchs (446 m a.s.l.) were used. COSMO-ART simulations agreed well with the observations at Davos and Weissfluhjoch. At the Environmental Research Station Schneefernerhaus, the pollen concentrations were generally overestimated. We analyzed the pollen transport episode of 9 April 2017 at Weissfluhjoch in more detail using vertical cross sections of the COSMO-ART simulations. The results suggest that pollen can be lifted up to 3000 m in the morning hours and are subsequently transported by large-scale winds leading to higher birch pollen concentrations at Weissfluhjoch than at Davos. This suggests that the actual situation regarding sources, topography and wind determines the pollen distribution and not only altitude. Still, pollen levels at Weissfluhjoch are more than one order of magnitude lower than typical pollen levels at lowland Swiss stations such as Buchs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Clot, B., Peeters, A. G., Fankhauser, A., & Frei, T. (1995). Airborne pollen in Switzerland 1994. Zürich: Schweizerische Meteorologische Anstalt.

    Google Scholar 

  • D’Amato, G., Cecchi, L., Bonini, S., Nunes, C., Annesi-Maesano, I., & Behrendt, H. (2007). Allergenic pollen and pollen allergy in Europe. Allergy,62, 976–990.

    Article  CAS  Google Scholar 

  • Eder, W., Ege, M. J., & von Mutius, E. (2006). The asthma epidemic. The New England Journal of Medicine,355, 2226–2235.

    Article  CAS  Google Scholar 

  • Gehrig, R., Köhler, B., Clot, B., Herren, T., Graber, M.-J., Hauser, M., Moersen, M., & Sallin, C. (2012). Luftpollengehalt in der Schweiz 2011. Resource document. MeteoSwiss. https://www.meteoschweiz.admin.ch/content/dam/meteoswiss/de/service-und-publikationen/Publikationen/doc/Pollen-Jahresbericht_2011_d.pdf. Accessed 23 Oct 2018.

  • Gehrig, R., & Peeters, A. G. (2000). Pollen distribution at elevations above 1000 m in Switzerland. Aerobiologia,16, 69–74.

    Article  Google Scholar 

  • Jochner, S., Ziello, C., Böck, A., Estrella, N., Buters, J., Weichenmeier, I., et al. (2012). Spatio-temporal investigation of flowering dates and pollen counts in the topographically complex Zugspitze area on the German–Austrian border. Aerobiologia,28, 541–556.

    Article  Google Scholar 

  • Markgraf, V. (1980). Pollen dispersal in a mountain area. Grana,19, 127–146.

    Article  Google Scholar 

  • Pace, L., Boccacci, L., Casilli, M., Di Carlo, P., & Fattorini, S. (2018). Correlations between weather conditions and airborne pollen concentration and diversity in a Mediterranean high-altitude site disclose unexpected temporal patterns. Aerobiologia,34, 75–87.

    Article  Google Scholar 

  • Sofiev, M., Berger, U., Prank, M., Vira, J., Arteta, J., Belmonte, J., et al. (2016). MACC regional multi-model ensemble simulations of birch pollen dispersion in Europe. Atmospheric Chemistry and Physics,15, 8115–8130.

    Article  CAS  Google Scholar 

  • Vogel, B., Vogel, H., Bäumer, D., Bangert, M., Lundgren, K., Rinke, R., et al. (2009). The comprehensive model system COSMO-ART—Radiative impact of aerosol on the state of the atmosphere on the regional scale. Atmospheric Chemistry and Physics,9, 8661–8680.

    Article  CAS  Google Scholar 

  • Vogel, H., Pauling, A., & Vogel, B. (2008). Numerical simulation of birch pollen dispersion with an operational weather forecast system. International Journal of Biometeorology,52, 805–814.

    Article  Google Scholar 

Download references

Acknowledgements

We thank the team of the Institute for Snow and Avalanche Research in Davos and the team of the Environmental Research Station Schneefernerhaus for their accurate service w.r.t. to the pollen traps. Likewise, we are grateful to Guy de Morsier from MeteoSwiss for his help in preparing Figs. 1 and 3. This study was also supported by the Swiss National Supercomputing Centre (CSCS) under project ID s83.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andreas Pauling.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pauling, A., Clot, B., Menzel, A. et al. Pollen forecasts in complex topography: two case studies from the Alps using the numerical pollen forecast model COSMO-ART. Aerobiologia 36, 25–30 (2020). https://doi.org/10.1007/s10453-019-09590-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10453-019-09590-2

Keywords

Navigation