Modeling the meteorological and chemical effects of secondary organic aerosols during an EUCAARI campaign

Athanasopoulou, Eleni; Vogel, H.; Vogel, Bernhard; Tsimpidi, Alexandra P.; Pandis, Spyros Ν.; Knote, Christoph; Fountoukis, C.

doi:10.5194/acp-13-625-2013

Cited by 70 publications

(67 citation statements)

References 79 publications

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“…This agrees well with previous studies with the COSMO-ART model on Saharan dust (STANELLE et al 2010) and experiments from the EUCAARI campaign figure), according to station type of area (rural, suburban and rural, the middle figure) and using only background stations and plotted according to station area type (the lower figure) Vol. 174, (2017) Aerosol-Radiation Feedback and PM 10 Air Concentrations Over Poland 565 (ATHANASOPOULOU et al 2013). We made our simulations for a winter month which due to low temperatures and limited sun-shine has limited emissions from nature.…”

Section: Discussionmentioning

confidence: 99%

Aerosol-Radiation Feedback and PM10 Air Concentrations Over Poland

Werner

Kryza

Skjøth

et al. 2016

Pure Appl. Geophys.

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Abstract-We have implemented the WRF-Chem model version 3.5 over Poland to quantify the direct and indirect feedback effects of aerosols on simulated meteorology and aerosol concentrations. Observations were compared with results from three simulations at high spatial resolutions of 5 9 5 km: (1) BASEwithout any aerosol feedback effects; (2) DIR-with direct aerosolradiative effects (3) INDIR-with direct and indirect aerosol-radiative effects. We study the overall effect during January 2011 as well as selected episodes of the highest differences in PM 10 concentrations between the three simulations. For the DIR simulation, the decrease in monthly mean incoming solar radiation (SWDOWN) appears for the entire study area. It changes geographically, from about -8.0 to -2.0 W m -2 , respectively for the southern and northern parts of the country. The highest changes do not correspond to the highest PM 10 concentration. Due to the solar radiation changes, the surface mean monthly temperature (T2) decreases for 96 % of the area of Poland, but not more than 1.0°C. Monthly mean PBLH changes by more than ±5 m for 53 % of the domain. Locally the differences in PBLH between the DIR and BASE are higher than ± 20 m. Due to the direct effect, for 84 % of the domain, the mean monthly PM 10 concentrations increase by up to 1.9 lg m -3 . For the INDIR simulation the spatial distribution of changes in incoming solar radiation as well as air temperature is similar to the DIR simulation. The decrease of SWDOWN is noticed for the entire domain and for 23 % of the domain is higher than -5.0 W m -2 . The absolute differences of PBLH are slightly higher for INDIR than DIR but similarly distributed spatially. For daily episodes, the differences between the simulations are higher, both for meteorology and PM 10 concentrations, and the pattern of changes is usually more complex. The results indicate the potential importance of the aerosol feedback effects on modelled meteorology and PM 10 concentrations.

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Section: Discussionmentioning

confidence: 99%

Aerosol-Radiation Feedback and PM10 Air Concentrations Over Poland

Werner

Kryza

Skjøth

et al. 2016

Pure Appl. Geophys.

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“…The approach has been recently extended to account also for the degree of oxidation of SOA species (Donahue et al, 2011). A simplified version of such a scheme is described by Athanasopoulou et al (2013).…”

Section: Treatment Of Secondary Inorganic and Organic Aerosolmentioning

confidence: 99%

Online coupled regional meteorology chemistry models in Europe: current status and prospects

et al. 2014

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Published by Copernicus Publications on behalf of the European Geosciences Union. A. Baklanov et al.: Online coupled regional meteorology chemistry models in EuropeAbstract. Online coupled mesoscale meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and regional climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. Two ways of online coupling can be distinguished: online integrated and online access coupling. Online integrated models simulate meteorology and chemistry over the same grid in one model using one main time step for integration. Online access models use independent meteorology and chemistry modules that might even have different grids, but exchange meteorology and chemistry data on a regular and frequent basis. This article offers a comprehensive review of the current research status of online coupled meteorology and atmospheric chemistry modelling within Europe. Eighteen regional online coupled models developed or being used in Europe are described and compared. Topics discussed include a survey of processes relevant to the interactions between atmospheric physics, dynamics and composition; a brief overview of existing online mesoscale models and European model developments; an analysis on how feedback processes are treated in these models; numerical issues associated with coupled models; and several case studies and model performance evaluation methods. Finally, this article highlights selected scientific issues and emerging challenges that require proper consideration to improve the reliability and usability of these models for the three scientific communities: air quality, numerical meteorology modelling (including weather prediction) and climate modelling. This review will be of particular interest to model developers and users in all three fields as it presents a synthesis of scientific progress and provides recommendations for future research directions and priorities in the development, application and evaluation of online coupled models.

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“…3370 A. P. : an efficient module to compute volatility and oxygen content approach, semi-volatile primary emissions, chemical aging, and SOA formation were unified within a common framework that is ideally suited for regional and global chemical modeling. Since 2006, many regional (Lane et al, 2008;Murphy and Pandis, 2009;Tsimpidi et al, , 2011Ahmadov et al, 2012;Athanasopoulou et al, 2013;Koo et al, 2014;Fountoukis et al, 2014;Ciarelli et al, 2017;Gao et al, 2017) and global (Pye and Seinfeld, 2010;Jathar et al, 2011;Jo et al, 2013;Tsimpidi et al, 2014;Hodzic et al, 2016) modeling studies have used the VBS to account for the semi-volatile nature and chemical aging of organic compounds, demonstrating improvements in reproducing the OA budget and its chemical resolution.…”

Section: Introductionmentioning

confidence: 99%

ORACLE 2-D (v2.0): an efficient module to compute the volatility and oxygen content of organic aerosol with a global chemistry–climate model

et al. 2018

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Abstract. A new module, ORACLE 2-D, simulating organic aerosol formation and evolution in the atmosphere has been developed and evaluated. The module calculates the concentrations of surrogate organic species in two-dimensional space defined by volatility and oxygen-to-carbon ratio. It is implemented into the EMAC global chemistry-climate model, and a comprehensive evaluation of its performance is conducted using an aerosol mass spectrometer (AMS) factor analysis dataset derived from almost all major field campaigns that took place globally during the period 2001-2010. ORACLE 2-D uses a simple photochemical aging scheme that efficiently simulates the net effects of fragmentation and functionalization of the organic compounds. The module predicts not only the mass concentration of organic aerosol (OA) components, but also their oxidation state (in terms of O : C), which allows for their classification into primary OA (POA, chemically unprocessed), fresh secondary OA (SOA, low oxygen content), and aged SOA (highly oxygenated). The explicit simulation of chemical OA conversion from freshly emitted compounds to a highly oxygenated state during photochemical aging enables the tracking of hygroscopicity changes in OA that result from these reactions. OR-ACLE 2-D can thus compute the ability of OA particles to act as cloud condensation nuclei and serves as a tool to quantify the climatic impact of OA.

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Modeling the meteorological and chemical effects of secondary organic aerosols during an EUCAARI campaign

Cited by 70 publications

References 79 publications

Aerosol-Radiation Feedback and PM10 Air Concentrations Over Poland

Aerosol-Radiation Feedback and PM10 Air Concentrations Over Poland

Online coupled regional meteorology chemistry models in Europe: current status and prospects

ORACLE 2-D (v2.0): an efficient module to compute the volatility and oxygen content of organic aerosol with a global chemistry–climate model

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