Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6336111 | Atmospheric Environment | 2016 | 21 Pages |
Abstract
The physical and chemical aerosol properties are explored here based on ground-based observations in the Paris region to better understand the role of clouds, radiative fluxes and dynamics on aerosol loading during a heavy regional air pollution that occurred in March 2014 over North-Western Europe. This event is primarily characterized by a fine particle mass (PM2.5) increase from 10 to more than 120 μg mâ3 and a simultaneous decrease of the horizontal visibility from 40 to 1 km, mainly due to significant formation of ammonium nitrate particles. The aerosol optical depth (AOD) at 550 nm increased steadily from about 0.06 on March 6 to more than 0.9 five days later. The scattering of the solar radiation by polluted particles induced, at the peak of the heavy pollution event, an instantaneous shortwave flux decrease of about 300 W mâ2 for direct irradiance and an increase of about 150 W mâ2 for diffuse irradiance (only scattering). The mean surface aerosol effect efficiency (effect per unit optical depth) is of about â80 W mâ2 with a mean aerosol direct radiative effect of â23 W mâ2. The dynamical and radiative processes that can be responsible for the diurnal cycle of PM2.5 in terms of amplitude and timing are investigated. A comparative analysis is performed for 4 consecutive days (between March 11 and 14), showing that the PM2.5 diurnal cycle can be modulated in time and amplitude by local processes such as the boundary layer depth development (ranging from 100 m to 1350 m), surface relative humidity (100%-35%), thermal structure (10 °C-16 °C for day/night amplitude), dynamics (wind speed ranging from 4 m sâ1 to 1.5 m sâ1) and turbulence (turbulent kinetic energy reaching 2 m2 sâ2) near the surface and wind shear along the vertical. Finally, modeled and measured surface PM2.5 loadings are also compared here, notably illustrating the need of accurate boundary layer depth data for efficient air quality forecasts.
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Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
J.-C. Dupont, M. Haeffelin, J. Badosa, T. Elias, O. Favez, J.E. Petit, F. Meleux, J. Sciare, V. Crenn, J.L. Bonne,