Abstract. Scattering and absorption were measured at the Station for Measuring Ecosystem-Atmosphere Relations (SMEAR II) station in Hyytiälä, Finland, from October 2006 to May 2009. The average scattering coefficient σ SP (λ = 550 nm) 18 Mm −1 was about twice as much as at the Pallas Global Atmosphere Watch (GAW) station in Finnish Lapland. The average absorption coefficient σ AP (λ = 550 nm) was 2.1 Mm −1 . The seasonal cycles were analyzed from hourly-averaged data classified according to the measurement month. The ratio of the highest to the lowest average σ SP and σ AP was ∼1.8 and ∼2.8, respectively. The average single-scattering albedo (ω 0 ) was 0.86 in winter and 0.91 in summer. σ SP was highly correlated with the volume concentrations calculated from number size distributions in the size range 0.003-10 µm. Assuming that the particle density was 1.5 g cm −3 , the PM 10 mass scattering efficiency was 3.1 ± 0.9 g m −2 at λ = 550 nm. Scattering coefficients were also calculated from the number size distributions by using a Mie code and the refractive index of ammonium sulfate. The linear regression yielded σ SP (modelled) = 1.046 × σ SP (measured) for the data with the low nephelometer sample volume relative humidity (RH NEPH = 30 ± 9 %) and σ SP (modelled) = 0.985 × σ SP (measured) when RH NEPH = 55 ± 4 %. The effective complex refractive index was obtained by an iterative approach, by matching the measured and the modelled σ SP and σ AP . The average effective complex refractive index was (1.517 ± 0.057) + (0.019 ± 0.015)i at λ = 550 nm. The iterated imaginary part had a strong seasonal cycle, with smallest values in summer and highest in winter. The contribution of submicron particles to scattering was ∼90 %. TheÅngström exponent of scattering, α SP , Correspondence to: A. Virkkula (aki.virkkula@helsinki.fi) was compared with the following weighted mean diameters: count mean diameter (CMD), surface mean diameter (SMD), scattering mean diameter (ScMD), condensation sink mean diameter (CsMD), and volume mean diameter (VMD). If α SP is to be used for estimating some measure of the size of particles, the best choice would be ScMD, then SMD, and then VMD. In all of these the qualitative relationship is similar: the larger theÅngström exponent, the smaller the weighted mean diameter. Contrary to these, CMD increased with increasing α SP and CsMD did not have any clear relationship with α SP . Source regions were estimated with backtrajectories and trajectory statistics. The geometric mean σ SP and σ AP associated with the grid cells in Eastern Europe were in the range 20-40 Mm −1 and 4-6 Mm −1 , respectively. The respective geometric means of σ SP and σ AP in the grid cells over Norwegian Sea were in the range 5-10 Mm −1 and <1 Mm −1 . The source areas associated with high α SP values were norther than those for σ SP and σ AP . The trajectory statistical approach and a simple wind sector classification agreed well.

Abstract. Atmospheric aerosols play a key role in the Earth's climate system by scattering and absorbing solar radiation and by acting as cloud condensation nuclei. Satellites are increasingly used to obtain information on properties of aerosol particles with a diameter larger than about 100 nm. However, new aerosol particles formed by nucleation are initially much smaller and grow into the optically active size range on time scales of many hours. In this paper we derive proxies, based on process understanding and ground-based observations, to determine the concentrations of these new particles and their spatial distribution using satellite data. The results are applied to provide seasonal variation of nucleation mode concentration. The proxies describe the concentration of nucleation mode particles over continents. The source rates are related to both regional nucleation and nucleation associated with more restricted sources. The global pattern of nucleation mode particle number concentration predicted by satellite data using our proxies is compared qualitatively against both observations and global model simulations.

Abstract. Trajectory statistical methods that combine in situ measurements of trace gas or particle concentrations and back trajectories calculated for corresponding times have proven to be a valuable approach in atmospheric research; especially in investigating air pollution episodes, but also in e.g. tracing the air mass history related to high vs. low concentrations of aerosol particles of different sizes at the receptor site. A concentration field method was fine-tuned to take the presumable horizontal error in calculated trajectories into account, tested with SO2 and validated by comparison against EMEP (European Monitoring and Evaluation Programme) emission data. In this work we apply the improved method for characterizing the transport of atmospheric SO2, NOx, O3 and aerosol particles of different size modes to a Finnish measurement station located in Hyytiälä (61°51' N, 24°17' E). Our method did not reproduce the EMEP emission soures, but proved useful for qualitative analysis on where the measured compounds come from, from one measurement station point of view. We applied it to study trends and seasonal variation in atmospheric pollutant transport during 13 yr at the SMEAR II (Station for Measuring Ecosystem-Atmosphere Interactions) station.