Skip to main content

Modelling Concentrations and Trends of Atmospheric Pollutants in the Arctic over a 37 Years Period

  • Conference paper
  • First Online:
Air Pollution Modeling and its Application XXV (ITM 2016)

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

  • 1530 Accesses

Abstract

We have simulated air pollution levels over the Arctic for a 37 years period from 1979 to 2015 using a 3D hemispheric chemistry-transport model, the Danish Eulerian Hemispheric Model (DEHM). The observed and simulated trends have been analysed at a number of sites in the Arctic. The levels of SO2 are decreasing over the simulated period, which follows the decreased anthropogenic emission in source areas. Differences in trends between sites can be explained by the influence from different source areas. The levels of O3 are almost constant over the 37 year period and no difference in trends between sites can be seen.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Brandt et al (2012) An integrated model study for Europe and North America using the Danish Eulerian hemispheric model with focus on intercontinental transport. Atmos Environ 53:156–176

    Article  CAS  Google Scholar 

  • Christensen JH (1997) The Danish Eulerian hemispheric model—a three-dimensional air pollution model used for the Arctic. Atmos Environ 31:4169–4191

    Article  CAS  Google Scholar 

  • Oltmans SJ, Lefohn AS, Shadwick D, Harris JM et al (2015) Recent tropospheric ozone changes—a pattern dominated by slow or no growth. Atmos Environ 67:331–351

    Article  Google Scholar 

  • Verstraeten WW, Neu JL, Williams JE, Bowman KW, Worden JR, Folkert Boersma K (2015) Rapid increases in tropospheric ozone production and export from China. Nat Geosci 8:690–695

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We gratefully acknowledge the contributions of Arctic Research Centre (ARC), Aarhus University. The research leading to these results has received funding from the Danish Environmental Protection Agency as part of the environmental support program Dancea—Danish Cooperation for Environment in the Arctic. The authors are solely responsible for all results and conclusions presented in the paper; these do not necessarily reflect the position of the Danish Environmental Protection Agency. This work is a contribution to the Arctic Science Partnership (ASP).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kaj M. Hansen .

Editor information

Editors and Affiliations

Questions and Answers

Questions and Answers

Questioner: Emmanouil Oikonomakis

Question: Have you investigated trends in the sub-periods of the total period, because it seems that there may be and if they exist are they related to any synoptic meteorological patterns?

Answer: We have not investigated the trends in sub-periods and their relations to synoptic scale meteorological patterns. This will be the subject for further analysis of the data.

Questioner: Wouter Lefebvre

Question: Is sea ice taken into account? And if so, do you see already an effect on for instance SOx and O3 deposition, especially in winter?

Answer: Yes, sea ice extent is taken into account in DEHM. We have not investigated the data in detail so we cannot see if there is an effect of changed sea ice cover on the deposition. But an earlier study with the DEHM model coupled to climate data, showed a decrease in the dry deposition of O3 over the Arctic marine areas following the projected decrease in sea ice towards the end of the 21st century (Hedegaard et al. Atmospheric and Climate Sciences, 2012, 2, 546–561; http://dx.doi.org/10.4236/acs.2012.24050).

Questioner: Heinke Schlünzen

Question: Sea ice has reduced considerably, especially in summer and autumn with minimum extents found more and more. As a hypothesis, might it be possible that ozone concentrations could have increased in the Arctic if the sea ice cover where still the same as several decades ago? Is the main reason for the missing increase in O3 the lost impact of the reflective sea ice covered areas?

Answer: We will further investigate the relationship between the predicted ozone concentrations and the extent of sea ice so we can test this hypothesis.

Questioner: Mikhail Sofiev

Question: Asian high-emission area is only partly in the domain, which puts substantially challenges to boundary conditions arrangements. What did you use for the boundaries?

Answer: The boundary conditions on O3 are from a 3D climatological O3 field based on radiosonde data (Logan, J. Geophys. Res., 104, 16115–16149, 1999). That the Asian high-emission area is only partly in the domain will introduce some uncertainty into the contribution to the Arctic from this area. However, the influence from Southeast Asian sources on surface concentrations in the Arctic is not expected to be as large as to the concentrations in mid-latitudes. This will be included in a further analysis of the data.

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Hansen, K.M., Geels, C., Im, U., Brandt, J., Christensen, J.H. (2018). Modelling Concentrations and Trends of Atmospheric Pollutants in the Arctic over a 37 Years Period. In: Mensink, C., Kallos, G. (eds) Air Pollution Modeling and its Application XXV. ITM 2016. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-57645-9_7

Download citation

Publish with us

Policies and ethics