The correction however cannot be trusted down to the ground. The planetary boundary layer PBL marks the top of the layer where the atmosphere is well mixed and the local aerosol component is also expected to be significant. The correlation coefficient for the PM 2. It is important to mention that both instruments are located close to one another and at the same altitude above sea level see Sect. The transported desert dust particles and the forest fire particles are common categories of aerosol components in Thessaloniki.

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They are presented in Fig. Since LIRIC profiles usually end below xn upper limit, the last value of each profile is considered constant dm to 9. The wavelet transform is applied to the LIRIC concentration profiles before the upscaling of the resolution.

The domain of simulation covers northern Africa, the Middle East and Europe. The reconstructed data include the aerosol backscatter profiles in the three lidar wavelengths and the columnar volume concentration values per mode.

Therefore, the water absorption and the hygroscopic growth of the PM 2. As far as the PM 2. A strong PM 2. It has been stated in Sect.

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By adding the concentration in the two modes one can calculate the total aerosol concentration. Dust center of mass metrics. They agree that the parameter that produces the biggest uncertainties is the lower limit height of the profile. Thus, we calculate the PM 2.


The concentration profiles of all the PM 2. The z and c symbols correspond to the height and the concentration, respectively.

The paper is organized as follows. Center of mass metrics.

Saudi Arabia Grading System

Lidar measurements performed in Thessaloniki during the period — were used for this purpose. A lower height boundary has to be determined due to the overlap function of the lidar system. Furthermore, the LIRIC retrievals have already been evaluated for volcanic and desert dust particles byshowing that the inversion can be accurate for two quite different types of aerosol.

The mean, standard deviation, mean bias and root mean square error values are in km units. This can be crucial for the PBL region, where particles from various sources are mixed.

As has already been stated, the setup of CAMx in Thessaloniki includes the desert dust component only from the global boundary conditions and does not include wildfire emissions 703 all. Two sample cases are presented here. In order to examine the effect of those cases on the comparison, we group the cases into four categories.

The effect of excluding the wildfire cases in the PBL comparisons is larger than in the FT ones which indicates a possible preference of the biomass burning layers to arrive in the PBL over Thessaloniki rather than in the free troposphere. The same applies to the PM 2.


A nesting technique is applied in order to increase the accuracy in the area of interest, i. In the second part, we present the methodology that was applied in order to characterize the lidar profiles. The output data of the algorithm include vertical yr concentration profiles of the fine and coarse mode particles in ppbv.

Additionally, the size distribution of the sunphotometer usually surpasses the PM 10 diameter limit. In the next section the behavior of CAMx in transported dust events is analyzed in more detail.

CAMx aerosol component synopsis. The model grids are configured in 17 vertical layers extending up to about 9. The lidar signal pre-processing is performed directly in LIRIC and includes the averaging, smoothing, background correction and range correction procedures as tr as the normalization of the lidar signals and also the selection of the lower and upper height boundaries in the signal where the LIRIC inversion is going to be performed.