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Sensitivity of spatial aerosol particle distributions to the boundary conditions in the PALM model system 6.0

Kurppa, Mona (author)
University of Helsinki
Roldin, Pontus (author)
Lund University,Lunds universitet,MERGE: ModElling the Regional and Global Earth system,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Kärnfysik,Fysiska institutionen,Institutioner vid LTH,Lunds Tekniska Högskola,Centre for Environmental and Climate Science (CEC),Faculty of Science,Nuclear physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH
Strömberg, Jani (author)
University of Helsinki
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Balling, Anna (author)
University of Helsinki
Karttunen, Sasu (author)
University of Helsinki
Kuuluvainen, Heino (author)
University of Tampere
Niemi, Jarkko V. (author)
Helsinki Region Environmental Services Authority (HSY)
Pirjola, Liisa (author)
Metropolia University of Applied Sciences
Rönkkö, Topi (author)
University of Tampere
Timonen, Hilkka (author)
Finnish Meteorological Institute
Hellsten, Antti (author)
Finnish Meteorological Institute
Järvi, Leena (author)
University of Helsinki
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 (creator_code:org_t)
2020-11-18
2020
English 23 s.
In: Geoscientific Model Development. - : Copernicus GmbH. - 1991-959X .- 1991-9603. ; 13:11, s. 5663-5685
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • High-resolution modelling is needed to understand urban air quality and pollutant dispersion in detail. Recently, the PALM model system 6.0, which is based on large-eddy simulation (LES), was extended with the detailed Sectional Aerosol module for Large Scale Applications (SALSA) v2.0 to enable studying the complex interactions between the turbulent flow field and aerosol dynamic processes. This study represents an extensive evaluation of the modelling system against the horizontal and vertical distributions of aerosol particles measured using a mobile laboratory and a drone in an urban neighbourhood in Helsinki, Finland. Specific emphasis is on the model sensitivity of aerosol particle concentrations, size distributions and chemical compositions to boundary conditions of meteorological variables and aerosol background concentrations. The meteorological boundary conditions are taken from both a numerical weather prediction model and observations, which occasionally differ strongly. Yet, the model shows good agreement with measurements (fractional bias < 0.67, normalised mean squared error < 6, fraction of the data within a factor of 2 > 0.3, normalised mean bias factor < 0.25 and normalised mean absolute error factor < 0.35) with respect to both horizontal and vertical distribution of aerosol particles, their size distribution and chemical composition. The horizontal distribution is most sensitive to the wind speed and atmospheric stratification, and vertical distribution to the wind direction. The aerosol number size distribution is mainly governed by the flow field along the main street with high traffic rates and in its surroundings by the background concentrations. The results emphasise the importance of correct meteorological and aerosol background boundary conditions, in addition to accurate emission estimates and detailed model physics, in quantitative high-resolution air pollution modelling and future urban LES studies.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Meteorologi och atmosfärforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Meteorology and Atmospheric Sciences (hsv//eng)

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