Simulation of aerosol optical properties over Europe with a 3-D size-resolved aerosol model: comparisons with AERONET data

Tombette, M.; Chazette, Patrick; Sportisse, Bruno; Roustan, Yelva

doi:10.5194/acp-8-7115-2008

Cited by 41 publications

(44 citation statements)

References 73 publications

(63 reference statements)

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“…Jeong and Sokolik (2007) also showed that the way optical properties are computed (internal mixing, external mixing, core shell) do not play a strong role unless black carbon fraction is very high. This was also observed by Tombette et al (2008). We show that if the same updated cross-sections and quantum yields are used in two photolysis scheme, differences in photolysis rates are small.…”

Section: Comparisons To Previous Studiessupporting

confidence: 78%

“…To translate aerosol concentrations in OD and OP the method used by Tombette et al (2008) is used: given the particle refractive index and its wet diameter, a tabulation based on a Mie code provide the OP. The Mie model developed by Mishchenko et al (1999) is used here because it calculates the 8 first terms of the Legendre expansion of the phase function (see Sect.…”

Section: On-line Treatment Of the Solar Radiation Alteration By Aerosolsmentioning

confidence: 99%

“…Although the CTM assumes particles to be internally mixed, different mixing state may be used when computing the refractive index (Tombette et al, 2008). Here, aerosol species are assumed to be well mixed except black carbon which constitutes a core.…”

Section: On-line Treatment Of the Solar Radiation Alteration By Aerosolsmentioning

confidence: 99%

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Modeling of photolysis rates over Europe: impact on chemical gaseous species and aerosols

Real

Sartelet

2011

Atmos. Chem. Phys.

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Abstract. This paper evaluates the impact of photolysis rate calculation on simulated European air composition and air quality. In particular, the impact of the cloud parametrisation and the impact of aerosols on photolysis rates are analysed. Photolysis rates are simulated using the Fast-JX photolysis scheme and gas and aerosol concentrations over Europe are simulated with the regional chemistry-transport model Polair3D of the Polyphemus platform. The photolysis scheme is first used to update the clear-sky tabulation of photolysis rates used in the previous Polair3D version. Important differences in photolysis rates are simulated, mainly due to updated cross-sections and quantum yields in the Fast-JX scheme. In the previous Polair3D version, clouds were taken into account by multiplying the clear-sky photolysis rates by a correction factor. In the new version, clouds are taken into account more accurately by simulating them directly in the photolysis scheme. Differences in photolysis rates inside clouds can be large but outside clouds, and especially at the ground, differences are small.To take into account the impact of aerosols on photolysis rates, Polair3D and Fast-JX are coupled. Photolysis rates are updated every hour. Large impact on photolysis rates is observed at the ground, decreasing with altitude. The aerosol specie that impact the most photolysis rates is dust especially in south Europe. Strong impact is also observed over anthropogenic emission regions (Paris, The Po and the Ruhr Valley) where mainly nitrate and sulphate reduce the incoming radiation. Differences in photolysis rates lead to changes in gas concentrations, with the largest impact simulated on OH and NO concentrations. At the ground, monthly mean concentrations of both species are reduced over Europe by around 10 to 14% and their tropospheric burden by around 10%. The decrease in OH leads to an increase of Correspondence to: E. Real (elsa.real@cerea.enpc.fr) the life-time of several species such as VOC. NO 2 concentrations are not strongly impacted and O 3 concentrations are mostly reduced at the ground (−3%). O 3 peaks are systematically decreased because of the NO 2 photolysis rate coefficient decrease. Not only gas are impacted but also secondary aerosols, due to changes in gas precursors concentrations. However changes in aerosol species concentrations often compensate each other resulting in a low impact on PM 10 and PM 2.5 concentrations (lower than 2%).The changes in gas concentrations at the ground induced by the modification of photolysis rates (by aerosols and clouds) are compared to changes induced by 29 different model parametrisations in Roustan et al. (2010). Among the 31 model parametrisations, "including aerosols on photolysis rates calculation" has the strongest impact on OH concentrations and on O 3 bias in July.In terms of air quality, ground concentrations (NO 2 , O 3 , PM 10 ) are compared with measurements. Changes arising from cloud parametrisation are small. Simulation performances are often slightly better whe...

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Section: Comparisons To Previous Studiessupporting

confidence: 78%

Section: On-line Treatment Of the Solar Radiation Alteration By Aerosolsmentioning

confidence: 99%

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Modeling of photolysis rates over Europe: impact on chemical gaseous species and aerosols

Real

Sartelet

2011

Atmos. Chem. Phys.

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“…the AErosol RObotic NETwork -AERONET) have greatly enhanced our ability to evaluate such models. Comparisons between observed and simulated aerosol optical depth (AOD) have been performed for global models and regional models (Kinne et al, 2006;Tombette et al, 2008;Péré et al, 2010). However, instruments such as sun photometers can only retrieve columnintegrated aerosol properties and can only work during daytime.…”

Section: Y Wang Et Al: Comparison Of Lidar Observations With Aerosomentioning

confidence: 99%

“…POLAIR3D/SIREAM has been used for several applications. For example, it was compared to in situ surface measurements for gas and aerosols over Europe by Sartelet et al (2007Sartelet et al ( , 2012 and Couvidat et al (2012), and over Greater Paris by Couvidat et al (2013); it was compared to AERONET data over Europe by Tombette et al (2008) and to satellite data by Zhang et al (2013); and it was compared to lidar-derived PM 10 over Greater Paris during MEGAPOLI by Royer et al (2011).…”

Section: Polair3d Modelmentioning

confidence: 99%

Modelling and assimilation of lidar signals over Greater Paris during the MEGAPOLI summer campaign

et al. 2014

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Abstract. In this study, we investigate the ability of the chemistry transport model (CTM) POLAIR3D of the air quality modelling platform POLYPHEMUS to simulate lidar backscattered profiles from model aerosol concentration outputs. This investigation is an important preprocessing stage of data assimilation (validation of the observation operator). To do so, simulated lidar signals are compared to hourly lidar observations performed during the MEGAPOLI (Megacities: Emissions, urban, regional and Global Atmospheric POLlution and climate effects, and Integrated tools for assessment and mitigation) summer experiment in July 2009, when a ground-based mobile lidar was deployed around Paris onboard a van. The comparison is performed for six different measurement days, 1, 4, 16, 21, 26 and 29 July 2009, corresponding to different levels of pollution and different atmospheric conditions. Overall, POLYPHEMUS well reproduces the vertical distribution of lidar signals and their temporal variability, especially for 1, 16, 26 and 29 July 2009. Discrepancies on 4 and 21 July 2009 are due to high-altitude aerosol layers, which are not well modelled. In the second part of this study, two new algorithms for assimilating lidar observations based on the optimal interpolation method are presented. One algorithm analyses PM 10 (particulate matter with diameter less than 10 µm) concentrations. Another analyses PM 2.5 (particulate matter with diameter less than 2.5 µm) and PM 2.5−10 (particulate matter with a diameter higher than 2.5 µm and lower than 10 µm) concentrations separately. The aerosol simulations without and with lidar data assimilation (DA) are evaluated using the Airparif (a regional operational network in charge of air quality survey around the Paris area) database to demonstrate the feasibility and usefulness of assimilating lidar profiles for aerosol forecasts. The evaluation shows that lidar DA is more efficient at correcting PM 10 than PM 2.5 , probably because PM 2.5 is better modelled than PM 10 . Furthermore, the algorithm which analyses both PM 2.5 and PM 2.5−10 provides the best scores for PM 10 . The averaged root-mean-square error (RMSE) of PM 10 is 11.63 µg m −3 with DA (PM 2.5 and PM 2.5−10 ), compared to 13.69 µg m −3 with DA (PM 10 ) and 17.74 µg m −3 without DA on 1 July 2009. The averaged RMSE of PM 10 is 4.73 µg m −3 with DA (PM 2.5 and PM 2.5−10 ), against 6.08 µg m −3 with DA (PM 10 ) and 6.67 µg m −3 without DA on 26 July 2009.

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Evaluating the impact of multisensor data assimilation on a global aerosol particle transport model

Zhang

Campbell²,

Hyer³

et al. 2014

JGR Atmospheres

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Simulation of aerosol optical properties over Europe with a 3-D size-resolved aerosol model: comparisons with AERONET data

Cited by 41 publications

References 73 publications

Modeling of photolysis rates over Europe: impact on chemical gaseous species and aerosols

Modeling of photolysis rates over Europe: impact on chemical gaseous species and aerosols

Modelling and assimilation of lidar signals over Greater Paris during the MEGAPOLI summer campaign

Evaluating the impact of multisensor data assimilation on a global aerosol particle transport model

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