scholarly journals Review on ``Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4'' by Menut et al., 2020

2020 ◽  
Author(s):  
Anonymous
2020 ◽  
Vol 13 (4) ◽  
pp. 2051-2071 ◽  
Author(s):  
Laurent Menut ◽  
Guillaume Siour ◽  
Bertrand Bessagnet ◽  
Florian Couvidat ◽  
Emilie Journet ◽  
...  

Abstract. Modelling of mineral dust is often done using one single mean species. But for biogeochemical studies, it could be useful to access to a more detailed information on differentiated mineral species and the associated chemical composition. Differentiating between mineral species would also induce different optical properties and densities and then different radiative impact, transport and deposition. In this study, the mineralogical differentiation is implemented in the CHIMERE regional chemistry-transport model, by using global databases. The results show that this implementation does not change the results much in terms of aerosol optical depth, surface concentrations and deposition fluxes. But the information on mineralogy, with a high spatial (a few kilometres) and temporal (1 h) resolution, is now available and is ready to be used for future biogeochemical studies.


2014 ◽  
Vol 14 (16) ◽  
pp. 23075-23123 ◽  
Author(s):  
L. Menut ◽  
S. Mailler ◽  
G. Siour ◽  
B. Bessagnet ◽  
S. Turquety ◽  
...  

Abstract. The ADRIMED campaign provides measurements of all key parameters regarding atmospheric composition in the Mediterranean area during the summer 2013. This is an opportunity to quantify the ability of current models to adequately represent the atmospheric composition in this complex region, which is influenced by anthropogenic emissions from Europe, Africa, the Middle-East and from shipping activities as well as mineral dust emissions mostly from the arid areas in Africa, sea-salt emissions, biomass burning emissions and biogenic emissions from the vegetation. The CHIMERE model in its present version is a chemistry-transport model which takes into account all these processes. We show here by simulating the period from 5 June to 15 July 2013 with the CHIMERE model and comparing the results to both routine and specific ADRIMED measurements that this model allows an adequate representation the atmospheric composition over the western Mediterranean, in terms of ozone concentration, particulate matter (PM) and aerosol optical depth (AOD). It is also shown that the concentrations of PM on all the considered area is dominated by mineral dust, even though local dust emissions in Europe are certainly overestimated by the model. A comparison with sulphate concentrations at Cape Corsica exhibits some discrepancies related to the regridding of shipping emissions.


2015 ◽  
Vol 15 (11) ◽  
pp. 6159-6182 ◽  
Author(s):  
L. Menut ◽  
S. Mailler ◽  
G. Siour ◽  
B. Bessagnet ◽  
S. Turquety ◽  
...  

Abstract. During the months of June and July 2013, over the Euro–Mediterranean area, the ADRIMED (Aerosol Direct Radiative Impact on the regional climate in the MEDiterranean region) project was dedicated to characterize the ozone and aerosol concentrations in the troposphere. It is first shown that this period was not highly polluted compared to previous summers in this region, with a moderate ozone production, no significant vegetation fire events and several precipitation periods scavenging the aerosol. The period is modeled with the WRF (Weather Research and Forecasting) and CHIMERE models, and their ability to quantify the observed pollution transport events is presented. The CHIMERE model simulating all kinds of sources (anthropogenic, biogenic, mineral dust, vegetation fires); the aerosol speciation, not available with the measurements, is presented: during the whole period, the aerosol was mainly constituted by mineral dust, sea salt and sulfates close to the surface and mainly by mineral dust in the troposphere. Compared to the AERONET (Aerosol Robotic Network) size distribution, it is shown that the model underestimates the coarse mode near mineral dust sources and overestimates the fine mode in the Mediterranean area, highlighting the need to improve the model representation of the aerosol size distribution both during emissions, long-range transport and deposition.


2015 ◽  
Vol 15 (14) ◽  
pp. 8013-8036 ◽  
Author(s):  
G. Rea ◽  
S. Turquety ◽  
L. Menut ◽  
R. Briant ◽  
S. Mailler ◽  
...  

Abstract. In the Mediterranean area, aerosols may originate from anthropogenic or natural emissions (biogenic, mineral dust, fire and sea salt) before undergoing complex chemistry. In case of a huge pollution event, it is important to know whether European pollution limits are exceeded and, if so, whether the pollution is due to anthropogenic or natural sources. In this study, the relative contribution of emissions to surface PM10, surface PM2.5 and total aerosol optical depth (AOD) is quantified. For Europe and the Mediterranean regions and during the summer of 2012, the WRF and CHIMERE models are used to perform a sensitivity analysis on a 50 km resolution domain (from −10° W to 40° E and from 30° N to 55° N): one simulation with all sources (reference) and all others with one source removed. The reference simulation is compared to data from the AirBase network and two ChArMEx stations, and from the AERONET network and the MODIS satellite instrument, to quantify the ability of the model to reproduce the observations. It is shown that the correlation ranges from 0.19 to 0.57 for surface particulate matter and from 0.35 to 0.75 for AOD. For the summer of 2012, the model shows that the region is mainly influenced by aerosols due to mineral dust and anthropogenic emissions (62 and 19 %, respectively, of total surface PM10 and 17 and 52 % of total surface PM2.5). The western part of the Mediterranean is strongly influenced by mineral dust emissions (86 % for surface PM10 and 44 % for PM2.5), while anthropogenic emissions dominate in the northern Mediterranean basin (up to 75 % for PM2.5). Fire emissions are more sporadic but may represent 20 % of surface PM2.5, on average, during the period near local sources. Sea salt mainly contributes for coastal sites (up to 29 %) and biogenic emissions mainly in central Europe (up to 20 %). The same analysis was undertaken for the number of daily exceedances of the European Union limit of 50 μg m−3 for PM10 (over the stations), and for the number of daily exceedances of the WHO recommendation for PM2.5 (25 μg m−3), over the western part of Europe and the central north. This number is generally overestimated by the model, particularly in the northern part of the domain, but exceedances are captured at the right time. Optimized contributions are computed with the observations, by subtracting the background bias at each station and the specific peak biases from the considered sources. These optimized contributions show that if natural sources such as mineral dust and fire events are particularly difficult to estimate, they were responsible exclusively for 35.9 and 0.7 %, respectively, of the exceedances for PM10 during the summer of 2012. The PM25 recommendation of 25 μg m−3 is exceeded in 21.1 % of the cases because of anthropogenic sources exclusively and in 0.02 % because of fires. The other exceedances are induced by a mixed contribution between mainly mineral dust (49.5–67 % for PM10 exceedance contributions, 4.4–13.8 % for PM2.5), anthropogenic sources (14.9–24.2 % and 46.3–80.6 %), biogenic sources (4.1–15.7 % and 12.6–30 %) and fires (2.2–7.2 % and 1.6–12.4 %).


2020 ◽  
Author(s):  
Laurent Menut ◽  
Guillaume Siour ◽  
Bertrand Bessagnet ◽  
Florian Couvidat ◽  
Emilie Journet ◽  
...  

Abstract. Modelling of mineral dust is often done using one single mean species. But for biogeochemical studies, it could be useful to access to a more detailed information on differenciated mineral species and the associated chemical composition. The fact to differentiate mineral species would also induce different optical properties and densities, then different radiative impact, transport and deposition. In this study, the mineralogical differenciation in implemented in the CHIMERE regional chemistry-transport model, by using global databases. The results show that this implementation does not change a lot the results in term of Aerosol Optical Depth, surface concentrations and deposition fluxes. But the information on mineralogy, with a high spatial (a few kilometers) and temporal (one hour) resolution, is now available and is ready to be used for future biogeochemical studies.


2015 ◽  
Vol 15 (6) ◽  
pp. 8191-8242 ◽  
Author(s):  
G. Rea ◽  
S. Turquety ◽  
L. Menut ◽  
R. Briant ◽  
S. Mailler ◽  
...  

Abstract. In the Mediterranean area, aerosols may originate from anthropogenic or natural emissions (biogenic, mineral dust, fire and sea salt) before undergoing complex chemistry. In case of a huge pollution event, it is important to know if european pollution limits are exceeded and, if yes, if the pollution is due to anthropogenic or natural sources. In this study, the relative contribution of emissions to surface PM10, surface PM2.5 and total aerosol optical depth (AOD) is quantified. For Europe and the Mediterranean regions and during the summer of 2012, the WRF and CHIMERE models are used to perform a sensitivity analysis: one simulation with all sources (reference) and all others with one source removed. The reference simulation is compared to data from the AirBase and AERONET networks and the MODIS satellite instrument to quantify the ability of the model to reproduce the observations. It is shown that the correlation ranges from 0.38 to 0.49 for surface particulate matter and from 0.35 to 0.75 for AOD. The sensitivity simulations are analysed to quantify the impact of each source. For the summer of 2012, the model shows that the region (from −10° W to 40° E and from 30 to 55° N) is mainly influenced by aerosols due to mineral dust and anthropogenic emissions (62 and 19% respectively of total surface PM10 and 17 and 52% of total surface PM2.5). The western part of the Mediterranean is strongly influenced by mineral dust emissions (86% for surface PM10 and 44% for PM2.5), while anthropogenic emissions dominate in the northern Mediterranean basin (up to 75% for PM2.5). Fire emissions are more sporadic but may represent 20% of surface PM2.5 near local sources. Sea salt mainly contribute for coastal sites (up to 29%) and biogenic emissions mainly in Central Europe (up to 20%). The same analysis was undertaken for the number of stations in daily exceedances of the European Union limit of 50 μg m−3 for PM10 (over the AirBase stations). This number is generally overestimated by the model, particularly in the northern part of the domain, but exceedances are captured at the right time. The discrepancies are most probably due to an overestimation of dust at the surface, and particularly when diverse sources are mixed. If natural sources as mineral dust events are particularly difficult to estimate, their contribution to the exceedances of the limitation is preponderant during the summer of 2012 (from 35% in the northern part of the Mediterranean basin to 92.5% in the western part).


2015 ◽  
Vol 15 (14) ◽  
pp. 7897-7911 ◽  
Author(s):  
L. Menut ◽  
G. Rea ◽  
S. Mailler ◽  
D. Khvorostyanov ◽  
S. Turquety

Abstract. The ADRIMED (Aerosol Direct Radiative Impact on the regional climate in the MEDiterranean region) project was dedicated to study the atmospheric composition during the summer 2013 in the European Mediterranean region. During its campaign experiment part, the WRF (Weather Research and Forecast Model) and CHIMERE models were used in the forecast mode in order to decide whether intensive observation periods should be triggered. Each day, a simulation of 4 days was performed, corresponding to (D-1) to (D+2) forecast leads. The goal of this study was to determine whether the model forecast spread is lower or greater than the model biases compared to observations. It is shown that the differences between observations and the model are always higher than those between the forecasts. Among all forcing types used in the chemistry-transport model, it is shown that the strong bias and other related low forecast scores are mainly due to the forecast accuracy of the wind speed, which is used both for the mineral dust emissions (a threshold process) and for the long-range transport of aerosol: the surface wind speed forecast spread can reach 50%, leading to mineral dust emission forecast spread of up to 30%. These variations are responsible for a moderate forecast spread of the surface PM10 (a few percentage points) and for a large spread (more than 50%) in the mineral dust concentration at higher altitudes, leading to a mean AOD (aerosol optical depth) forecast spread of ±10%.


1988 ◽  
Vol 19 (1) ◽  
pp. 53-64 ◽  
Author(s):  
C. Corradini ◽  
F. Melone

Evidence is given of the distribution of pre-warm front rainfall at the meso-γ scale, together with a discussion of the main mechanisms producing this variability. An inland region in the Mediterranean area is considered. The selected rainfall type is commonly considered the most regular inasmuch as it is usually unaffected by extended convective motions. Despite this, within a storm a large variability in space was observed. For 90% of measurements, the typical deviations from the area-average total depth ranged from - 40 to 60 % and the storm ensemble-average rainfall rate over an hilly zone was 60 % greater than that in a contiguous low-land zone generally placed upwind. This variability is largely explained in terms of forced uplift of air mass over an envelope type orography. For a few storms smaller orographic effects were found in locations influenced by an orography with higher slopes and elevations. This feature is ascribed to the compact structure of these mountains which probably determines a deflection of air mass in the boundary layer. The importance of this type of analysis in the hydrological practice is also emphasized.


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