References

ACP

Atmospheric Chemistry and Physics

ACP

1680-7324

Copernicus GmbH

Göttingen, Germany

10.5194/acp-6-4499-2006

MALTE – model to predict new aerosol formation in the lower troposphere

Boy

¹ ² Hellmuth

³ Korhonen

⁴ Nilsson

E. D.

⁵ ReVelle

⁶ Turnipseed

⁷ Arnold

⁸ Kulmala

Department of Physical Sciences, Division of Atmospheric Sciences, P.O. Box 64, 00014 University of Helsinki, Finland

ASP/ACD, NCAR, P.O. Box 3000, 80305 Boulder, Colorado, USA

Leibniz Institute for Tropospheric Research, Permoserstrasse 15, 04318 Leipzig, Germany

Finnish Meteorological Institute, Air Quality Research, Sahaajankatu 20 E, 00880 Helsinki, Finland

Department of Meteorology, Stockholm University, 106 91 Stockholm, Sweden

Earth and Environmental Sciences, Los Alamos National Lab., P.O. Box 1663, MS D401, Los Alamos, NM, 87545 USA

ACD, NCAR, P.O. Box 3000, 80305 Boulder, Colorado, USA

Atmospheric Physics Division, Max-Planck Institute for Nuclear Physics (MPIK), P.O. Box 103980, 69029 Heidelberg, Germany

06 10 2006

6 12 4499 4517

This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

This article is available from http://www.atmos-chem-phys.net/6/4499/2006/acp-6-4499-2006.html

The full text article is available as a PDF file from http://www.atmos-chem-phys.net/6/4499/2006/acp-6-4499-2006.pdf

The manuscript presents a detailed description of the meteorological and chemical code of Malte – a model to predict new aerosol formation in the lower troposphere. The aerosol dynamics are achieved by the new developed UHMA (University of Helsinki Multicomponent Aerosol Model) code with kinetic limited nucleation as responsible mechanism to form new clusters. First results indicate that the model is able to predict the on- and offset of new particle formation as well as the total aerosol number concentrations that were in good agreement with the observations. Further, comparison of predicted and measured H2SO4 concentrations showed a satisfactory agreement. The simulation results indicated that at a certain transitional particle diameter (2–7 nm), organic molecules can begin to contribute significantly to the growth rate compared to sulphuric acid. At even larger particle sizes, organic molecules can dominate the growth rate on days with significant monoterpene concentrations. The intraday vertical evolution of newly formed clusters and particles in two different size ranges resulted in two maxima at the ground. These particles grow around noon to the detectable size range and agree well with measured vertical profiles.

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