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Journal article

Black carbon concentration and deposition estimations in Finland by the regional aerosol-climate model REMO-HAM

Hienola A, Pietikäinen J, Jacob D, Pozdun R, Petäjä T, Hyvärinen A, Sogacheva L, Kerminen V, Kulmala M, Laaksonen A ...see all

Atmospheric Chemistry and Physics, vol. 13, issue 8 (2013) pp. 4033-4055 Published by Copernicus GmbH

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Abstract

The prediction skill of the regional aerosol-climate model REMO-HAM was
assessed against the black carbon (BC) concentration measurements from
five locations in Finland, with focus on Hyytiala station for the year
2005. We examined to what extent the model is able to reproduce the
measurements using several statistical tools: median comparison, overlap
coefficient (OVL; the common area under two probability distributions
curves) and Z score (a measure of standard deviation, shape and spread
of the distributions). The results of the statistics showed that the
model is biased low. The local and regional emissions of BC have a
significant contribution, and the model tendency to flatten the observed
BC is most likely dominated by the lack of domestic burning of biofuel
in the emission inventories. A further examination of the precipitation
data from both measurements and model showed that there is no
correlation between REMO's excessive precipitation and BC
underestimation. This suggests that the excessive wet removal is not the
main cause of the low black carbon concentration output. In addition, a
comparison of wind directions in relation with high black carbon
concentrations shows that REMO-HAM is able to predict the BC source
directions relatively well. Cumulative black carbon deposition fluxes
over Finland were estimated, including the deposition on snow.

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Authors

  • A. I. Hienola

  • J. P. Pietikäinen

  • D. Jacob

  • R. Pozdun

  • T. Petäjä

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