Evaluation of a three-dimensional chemical transport model (PMCAMx) in the European domain during the EUCAARI May 2008 campaign

Fountoukis, C.; Racherla, Pavan; Gon, Hugo Denier van der; Polymeneas, P.; Charalampidis, P. E.; Pilinis, Christodoulos; Wiedensohler, Alfred; Dall’Osto, Manuel; O’Dowd, Colin; Pandis, Spyros Ν.

doi:10.5194/acp-11-10331-2011

Cited by 126 publications

(167 citation statements)

References 75 publications

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“…We also used PMCAMx-2008(Fountoukis et al, 2011 to analyze the contributions of each selected source area to PM in Paris by zeroing out all the emissions (particles and gases) from different areas around Paris. These areas were selected to be the same with those defined in PSAT simulations.…”

Section: Comparison With Other Source-receptor Analysis Methodsmentioning

confidence: 99%

“…OA is treated in this work as in Murphy and Pandis (2010). Fountoukis et al (2011) evaluated the PMCAMx-2008 performance for the same European domain against ground measurements taken at four measurement stations and airborne measurements during May 2008. The model reproduced more than 87 % of the hourly measurements of PM 1 OA and more than 94 % of the daily averaged OA concentrations within a factor of 2.…”

Section: Pmcamx-2008mentioning

confidence: 99%

“…The model used in this study is PMCAMx-2008(Fountoukis et al, 2011, a regional three-dimensional CTM. PMCAMx-2008 is applied to Europe, covering a region of 5400 × 5832 km 2 , using 36 km × 36 km grid resolution and 10 vertical layers extending up to 6 km.…”

Section: Pmcamx-2008mentioning

confidence: 99%

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Contributions of local and regional sources to fine PM in the megacity of Paris

et al. 2014

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Abstract. The particulate matter source apportionment technology (PSAT) is used together with PMCAMx, a regional chemical transport model, to estimate how local emissions and pollutant transport affect primary and secondary particulate matter mass concentration levels in Paris. During the summer and the winter periods examined, only 13 % of the PM 2.5 is predicted to be due to local Paris emissions, with 36 % coming from mid-range (50-500 km from the center of the Paris) sources and 51 % from long range transport (more than 500 km from Paris).The local emissions contribution to simulated elemental carbon (EC) is significant, with almost 60 % of the EC originating from local sources during both summer and winter. Approximately 50 % of the simulated fresh primary organic aerosol (POA) originated from local sources and another 45 % from areas 100-500 km from the receptor region during summer. Regional sources dominated the secondary PM components. During summer more than 70 % of the simulated sulfate originated from SO 2 emitted more than 500 km away from the center of the Paris. Also more than 45 % of secondary organic aerosol (SOA) was due to the oxidation of VOC precursors that were emitted 100-500 km from the center of the Paris. The model simulates more contribution from long range secondary PM sources during winter because the timescale for its production is longer due to the slower photochemical activity.PSAT results for contributions of local and regional sources were compared with observation-based estimates from field campaigns that took place during the MEGAPOLI project. PSAT simulations are in general consistent (within 20 %) with these estimates for OA and sulfate. The only exception is that PSAT simulates higher local EC contribution during the summer compared to that estimated from observations.

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Section: Comparison With Other Source-receptor Analysis Methodsmentioning

confidence: 99%

Section: Pmcamx-2008mentioning

confidence: 99%

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Contributions of local and regional sources to fine PM in the megacity of Paris

et al. 2014

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“…This feature may lead to errors in overprediction (artificial build-up of pollutants) and underprediction (unaccounted for mixing of pollutants from sources not directly in the parcel's path). For this reason, this study will focus on analysis of averaged diurnal profiles of OA concentration and O:C instead of comparisons to hourly measurements, which is the focus of Fountoukis et al (2011). In general, the performance of this 1-D model is similar but slightly worse than that of the full 3-D model.…”

Section: Chemical Transport Modelmentioning

confidence: 99%

Functionalization and fragmentation during ambient organic aerosol aging: application of the 2-D volatility basis set to field studies

et al. 2012

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Abstract. Multigenerational oxidation chemistry of atmospheric organic compounds and its effects on aerosol loadings and chemical composition is investigated by implementing the Two-Dimensional Volatility Basis Set (2-D-VBS) in a Lagrangian host chemical transport model. Three model formulations were chosen to explore the complex interactions between functionalization and fragmentation processes during gas-phase oxidation of organic compounds by the hydroxyl radical. The base case model employs a conservative transformation by assuming a reduction of one order of magnitude in effective saturation concentration and an increase of oxygen content by one or two oxygen atoms per oxidation generation. A second scheme simulates functionalization in more detail using group contribution theory to estimate the effects of oxygen addition to the carbon backbone on the compound volatility. Finally, a fragmentation scheme is added to the detailed functionalization scheme to create a functionalization-fragmentation parameterization. Two condensed-phase chemistry pathways are also implemented as additional sensitivity tests to simulate (1) heterogeneous oxidation via OH uptake to the particle-phase and (2) aqueous-phase chemistry of glyoxal and methylglyoxal.The model is applied to summer and winter periods at three sites where observations of organic aerosol (OA) mass and O:C were obtained during the European Integrated Project on Aerosol Cloud Climate and Air Quality Interactions (EU-CAARI) campaigns. The base case model reproduces observed mass concentrations and O:C well, with fractional errors (FE) lower than 55 % and 25 %, respectively. The detailed functionalization scheme tends to overpredict OA concentrations, especially in the summertime, and also underpredicts O:C by approximately a factor of 2. The detailed functionalization model with fragmentation agrees well with the observations for OA concentration, but still underpredicts O:C. Both heterogeneous oxidation and aqueous-phase processing have small effects on OA levels but heterogeneous oxidation, as implemented here, does enhance O:C by about 0.1. The different schemes result in very different fractional attribution for OA between anthropogenic and biogenic sources.

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“…During EUCAARI, the organic and inorganic aerosol modules of PMCAMx were improved (Fountoukis et al, 2011a) and the resulting model (called PMCAMx-2008) was applied for the first time in Europe. The domain consisted of the whole European continent, and extended from the Atlantic Ocean to the Middle East and from the North Pole to North Africa.…”

Section: Evaluation Of Current Understanding Of Regional Fine Pm In Ementioning

confidence: 99%

General overview: European Integrated project on Aerosol Cloud Climate and Air Quality interactions (EUCAARI) – integrating aerosol research from nano to global scales

et al. 2011

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Abstract. In this paper we describe and summarize the main achievements of the European Aerosol Cloud Climate and Air Quality Interactions project (EUCAARI). EUCAARI started on 1 January 2007 and ended on 31 December 2010 leaving a rich legacy including: (a) a comprehensive database with a year of observations of the physical, chemical and optical properties of aerosol particles over Europe, (b) comprehensive aerosol measurements in four developing countries, (c) a database of airborne measurements of aerosols and clouds over Europe during May 2008, (d) comprehensive modeling tools to study aerosol processes fron nano to global scale and their effects on climate and air quality. In addition a new Pan-European aerosol emissions inventory was developed and evaluated, a new cluster spectrometer was built and tested in the field and several new aerosol parameterizations and computations modules for chemical transport and global climate models were developed and evaluated. These achievements and related studies have substantially improved our understanding and reduced the uncertainties of aerosol radiative forcing and air quality-climate interactions. The EUCAARI results can be utilized in European and global environmental policy to assess the aerosol impacts and the corresponding abatement strategies.

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Evaluation of a three-dimensional chemical transport model (PMCAMx) in the European domain during the EUCAARI May 2008 campaign

Cited by 126 publications

References 75 publications

Contributions of local and regional sources to fine PM in the megacity of Paris

Contributions of local and regional sources to fine PM in the megacity of Paris

Functionalization and fragmentation during ambient organic aerosol aging: application of the 2-D volatility basis set to field studies

General overview: European Integrated project on Aerosol Cloud Climate and Air Quality interactions (EUCAARI) – integrating aerosol research from nano to global scales

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