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Erik Swietlicki. Foto.

Erik Swietlicki

Professor

Erik Swietlicki. Foto.

Comparison of particle number size distribution trends in ground measurements and climate models

Författare

  • Ville Leinonen
  • Harri Kokkola
  • Taina Yli-Juuti
  • Tero Mielonen
  • Thomas Kühn
  • Tuomo Nieminen
  • Simo Heikkinen
  • Tuuli Miinalainen
  • Tommi Bergman
  • Ken Carslaw
  • Stefano Decesari
  • Markus Fiebig
  • Tareq Hussein
  • Niku Kivekäs
  • Radovan Krejci
  • Markku Kulmala
  • Ari Leskinen
  • Andreas Massling
  • Nikos Mihalopoulos
  • Jane P. Mulcahy
  • Steffen M. Noe
  • Twan Van Noije
  • Fiona M. O'connor
  • Colin O'dowd
  • Dirk Olivie
  • Jakob B. Pernov
  • Tuukka Petäjä
  • Øyvind Seland
  • Michael Schulz
  • Catherine E. Scott
  • Henrik Skov
  • Erik Swietlicki
  • Thomas Tuch
  • Alfred Wiedensohler
  • Annele Virtanen
  • Santtu Mikkonen

Summary, in English

Despite a large number of studies, out of all drivers of radiative forcing, the effect of aerosols has the largest uncertainty in global climate model radiative forcing estimates. There have been studies of aerosol optical properties in climate models, but the effects of particle number size distribution need a more thorough inspection. We investigated the trends and seasonality of particle number concentrations in nucleation, Aitken, and accumulation modes at 21 measurement sites in Europe and the Arctic. For 13 of those sites, with longer measurement time series, we compared the field observations with the results from five climate models, namely EC-Earth3, ECHAM-M7, ECHAM-SALSA, NorESM1.2, and UKESM1. This is the first extensive comparison of detailed aerosol size distribution trends between in situ observations from Europe and five earth system models (ESMs). We found that the trends of particle number concentrations were mostly consistent and decreasing in both measurements and models. However, for many sites, climate models showed weaker decreasing trends than the measurements. Seasonal variability in measured number concentrations, quantified by the ratio between maximum and minimum monthly number concentration, was typically stronger at northern measurement sites compared to other locations. Models had large differences in their seasonal representation, and they can be roughly divided into two categories: for EC-Earth and NorESM, the seasonal cycle was relatively similar for all sites, and for other models the pattern of seasonality varied between northern and southern sites. In addition, the variability in concentrations across sites varied between models, some having relatively similar concentrations for all sites, whereas others showed clear differences in concentrations between remote and urban sites. To conclude, although all of the model simulations had identical input data to describe anthropogenic mass emissions, trends in differently sized particles vary among the models due to assumptions in emission sizes and differences in how models treat size-dependent aerosol processes. The inter-model variability was largest in the accumulation mode, i.e. sizes which have implications for aerosol-cloud interactions. Our analysis also indicates that between models there is a large variation in efficiency of long-range transportation of aerosols to remote locations. The differences in model results are most likely due to the more complex effect of different processes instead of one specific feature (e.g. the representation of aerosol or emission size distributions). Hence, a more detailed characterization of microphysical processes and deposition processes affecting the long-range transport is needed to understand the model variability.

Avdelning/ar

  • Kärnfysik
  • LTH profilområde: Aerosoler
  • NanoLund: Centre for Nanoscience
  • MERGE: ModElling the Regional and Global Earth system

Publiceringsår

2022-10

Språk

Engelska

Sidor

12873-12905

Publikation/Tidskrift/Serie

Atmospheric Chemistry and Physics

Volym

22

Issue

19

Dokumenttyp

Artikel i tidskrift

Förlag

Copernicus GmbH

Ämne

  • Meteorology and Atmospheric Sciences

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1680-7316