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Titel |
Lidar-derived PM10 concentrations and comparison with regional modelling in the frame of MEGAPOLI |
VerfasserIn |
Philippe Royer, Patrick Chazette, Karine Sartelet, Matthias Beekmann, Qijie Zhang, Jean-Christophe Raut |
Konferenz |
EGU General Assembly 2011
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Medientyp |
Artikel
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Sprache |
Englisch
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Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 13 (2011) |
Datensatznummer |
250047961
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Zusammenfassung |
The aerosol mass concentration has been retrieved from ground-based mobile lidar in the
frame of MEGAPOLI (Megacities: Emissions, urban, regional and Global Atmospheric
POLlution and climate effects, and Integrated tools for assessment and mitigation) European
program. We present here the results of the summer campaign that was carried out in July
2009 around Paris area. During this campaign, the main objectives of the lidar were to
determine aerosol and atmospheric structures (planetary boundary layer heigh, cloud and
atmospheric structures) and the evolution of the aerosol optical properties (aerosol extinction
coefficient and depolarization ratio) during its transport from the center of Paris to the
remote suburbs (Â 100 km from Paris). This eye-safe lidar is based on a Nd:YAG laser
at 355 nm and has a spatial resolution of 1.5 m along the line of sight leading to
a high spatial resolution on the retrieval of structures in the PBL. Ten intensive
observation periods (IOP) have been performed with the mobile lidar. Aerosol mass
concentration (PM10) profiles have been retrieved using optical-to-mass relationships
previously established with in situ measurements performed around Paris. The mean
lidar-derived PM10 concentration (and its variability) observed for the 10 IOPs is 22.4±5.2
microg.m-3. We will here describe the method and analyze in more details the
results for the 1st, 16th and 26th July 2009, corresponding to contrasted levels of
pollution and atmospheric conditions. Lidar-derived PM10 concentrations will be
compared and discussed with simulations from POLYPHEMUS and CHIMERE
chemistry-transport models and ground-based observations from AIRPARIF network. |
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