Modelling of primary aerosols in the chemical transport model MOCAGE: Development and evaluation of aerosol physical parameterizations

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Abstract

This paper deals with recent improvements to the global chemical transport model of Météo-France MOCAGE (Modèle de Chimie Atmosphérique à Grande Echelle) that consists of updates to different aerosol parameterizations. MOCAGE only contains primary aerosol species: desert dust, sea salt, black carbon, organic carbon, and also volcanic ash in the case of large volcanic eruptions. We introduced important changes to the aerosol parameterization concerning emissions, wet deposition and sedimentation. For the emissions, size distribution and wind calculations are modified for desert dust aerosols, and a surface sea temperature dependant source function is introduced for sea salt aerosols. Wet deposition is modified toward a more physically realistic representation by introducing re-evaporation of falling rain and snowfall scavenging and by changing the in-cloud scavenging scheme along with calculations of precipitation cloud cover and rain properties. The sedimentation scheme update includes changes regarding the stability and viscosity calculations. Independent data from satellites (MODIS, SEVIRI), the ground (AERONET, EMEP), and a model inter-comparison project (AeroCom) are compared with MOCAGE simulations and show that the introduced changes brought a significant improvement on aerosol representation, properties and global distribution. Emitted quantities of desert dust and sea salt, as well their lifetimes, moved closer towards values of AeroCom estimates and the multi-model average. When comparing the model simulations with MODIS aerosol optical depth (AOD) observations over the oceans, the updated model configuration shows a decrease in the modified normalized mean bias (MNMB; from 0.42 to 0.10) and a better correlation (from 0.06 to 0.32) in terms of the geographical distribution and the temporal variability. The updates corrected a strong positive MNMB in the sea salt representation at high latitudes (from 0.65 to 0.16), and a negative MNMB in the desert dust representation in the African dust outflow region (from - 1.01 to -0.22). The updates in sedimentation produced a modest difference; the MNMB with MODIS data from 0.10 in the updated configuration went to 0.11 in the updated configuration only without the sedimentation updates. Yet, the updates in the emissions and the wet deposition made a stronger impact on the results; the MNMB was 0.27 and 0.21 in updated configurations only without emission, and only without wet deposition updates, respectively. Also, the lifetime, the extent, and the strength of the episodic aerosol events are better reproduced in the updated configuration. The wet deposition processes and the differences between the various configurations that were tested greatly influence the representation of the episodic events. However, wet deposition is not a continuous process; it has a local and episodic signature and its representation depends strongly on the precipitation regime in the model.

Figures

  • Table 1. Bin ranges of individual primary aerosol species present in MOCAGE.
  • Table 2. Description of MOCAGE simulations used in this study.
  • Figure 1. Mean annual surface winds for 2007: left – QuikSCAT measurements, middle – ARPEGE analysis, and right – their relative difference.
  • Figure 2. The geographic distribution of the mean annual burdens of all aerosol species in the CTM MOCAGE: for SIM1 on the left, for SIM2 in the middle, and their difference on the right.
  • Figure 3. The annual and zonal mean vertical profiles of mass mixing ratios of all aerosol species in the CTM MOCAGE: for SIM1 on the left, for SIM2 in the middle, and their difference on the right.
  • Table 3. Number of observations, correlation (ρ), modified normalized mean bias (MNMB) and fractional gross error (FGE) between observations (MODIS and AERONET) and SIM1/SIM2. The number of MODIS observations includes the number of considered L3 gridboxes, and the corresponding number of L2 observations. EMEP observations are of hourly or daily frequency. MODIS regions correspond to Fig. 6a–c, and AERONET sites correspond to Fig. 7a–f.
  • Figure 4. Global, mean aerosol optical depth at 550 nm for the year 2007 from MODIS (Aqua+Terra) (a), SIM1 (b), SIM2 (d), and the difference between MODIS observations and model simulations (c, e). The descriptions of the model simulations are in Table 2. The boxes in panel (a) correspond to the regions used in Fig. 6.
  • Figure 5. Scatterplots of aerosol optical depths from MODIS and the simulations: SIM1 (a), SIM2 (b). Scatterplots are contoured according to the number of the points in them. Each point in the scatterplot presents MODIS L3 observed AOD and the corresponding modelled AOD. In each panel, correlation (ρ), modified normalized mean bias (MNMB), fractional gross error (FGE) and standard deviation (σ ) are noted. The descriptions of the model simulations are in Table 2.

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Sič, B., El Amraoui, L., Marécal, V., Josse, B., Arteta, J., Guth, J., … Hamer, P. D. (2015). Modelling of primary aerosols in the chemical transport model MOCAGE: Development and evaluation of aerosol physical parameterizations. Geoscientific Model Development, 8(2), 381–408. https://doi.org/10.5194/gmd-8-381-2015

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