Determination of atmospheric structures, aerosol optical properties and particle type with the R-MAN 510 Raman dual polarization lidar super ceilometer P. Royer , A. Bizard, L. Sauvage, M. Boquet, L. Thobois, M. Renaudier, B. Bennai 12th EMS Annual Meeting & 9th ECAC I 10-14 September 2012 I Łódź (Poland)
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12th EMS Annual Meeting & 9th ECAC I 10-14 September 2012 I Łódź (Poland)
Determination of atmospheric structures, aerosol optical properties and particle type with the R-MAN 510 Raman dual polarization lidar super ceilometer P . Royer , A . Bizard , L . Sauvage, M . Boquet , L. Thobois , M. Renaudier , B. Bennai. - PowerPoint PPT Presentation
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Determination of atmospheric structures, aerosol optical properties and particle type with the R-MAN510 Raman dual polarization lidar super
ceilometer
P. Royer, A. Bizard, L. Sauvage, M. Boquet, L. Thobois, M. Renaudier, B. Bennai
12th EMS Annual Meeting & 9th ECAC I 10-14 September 2012 I Łódź (Poland)
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Aerosols and clouds have a strong impact on :
Aerosols can also disturb human activities :
- Air quality- Climate (direct, semi-direct and indirect effects)- Meteorology
- Reduction of visibility - Air traffic disruption (volcanic ashes, desert dust)
Introduction
12th EMS Annual Meeting & 9th ECAC I 10-14 September 2012 I Łódź (Poland)
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Satellite measurements are limited by clouds and do not supply a vertical profile of the ash cloud
An ambiguity in the models outputs regarding position and density. Need confirmation using vertical monitoring.
MODIS image on April 15th 2010
In complement to satellite and models, ground based sensors are needed to detect plumes, to determine their height, to identify and quantify the aerosols.
Needs appropriate ground based remote sensors
Motivation : needs for ground-based sensors
12th EMS Annual Meeting & 9th ECAC I 10-14 September 2012 I Łódź (Poland)
4Proof of automatic ash detection monitoring over Europe in 2010 with the
ALS aerosol lidar
12th EMS Annual Meeting & 9th ECAC I 10-14 September 2012 I Łódź (Poland)
5Motivation: identification of aerosols
Augustine eruption, [Sassen et al,GRL, 2007]
Pollution aerosol
Ice crystals
Desert dust
dp>30%
10%<dp<25% dp~0%
dp up to 100%
12th EMS Annual Meeting & 9th ECAC I 10-14 September 2012 I Łódź (Poland)
We are lucky, dust and ash are unspherical
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Characterizing aerosols with depolarization and Raman channels
ASH
12th EMS Annual Meeting & 9th ECAC I 10-14 September 2012 I Łódź (Poland)
• Example of measurements realized by a raman lidar prototype during the Eyjafjallajokull eruption
• Clear separation between ashs, pollution aerosols and dusts
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RMan510 concept
Detection of the layers Getting the position Classification of the aerosols /clouds Quantification (more challenging) [Chazette et al.
2011, Donovan et al. 2011, Wienhold, 2011]
We learnt from our previous products, redesigned the hardware and software platform and improved the algorithm
12th EMS Annual Meeting & 9th ECAC I 10-14 September 2012 I Łódź (Poland)
8RMan510 Raman lidar Super Ceilometer Networkable operational tool:
• Stand alone with a low maintenance laser (3 years maintenance cycle)