A size-composition resolved aerosol model for simulating the dynamics of externally mixed particles: SCRAM (v 1.0)

Zhu, Shupeng; Sartelet, Karine; Seigneur, Christian

doi:10.5194/gmd-8-1595-2015

Cited by 22 publications

(24 citation statements)

References 43 publications

(65 reference statements)

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“…Building on previous two‐dimensional sectional frameworks, the MOSAIC‐MIX model (Ching et al, ) adds an additional dimension to represent hygroscopicity and shows that this optimizes the calculations of CCN concentrations and aerosol optical properties. The Size‐Composition Resolved Aerosol Model (SCRAM; Zhu et al, ; ), also a two‐dimensional sectional model, uses an alternative discretization based on both size and composition where composition is tracked by mass fractions of different chemical groups such as inorganic hydrophilic, organic hydrophilic, organic hydrophobic, BC, and dust.…”

Section: Representation Of Mixing State In Aerosol Modelsmentioning

confidence: 99%

Aerosol Mixing State: Measurements, Modeling, and Impacts

Riemer

Ault

West

et al. 2019

Reviews of Geophysics

225

287

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Atmospheric aerosols are complex mixtures of different chemical species, and individual particles exist in many different shapes and morphologies. Together, these characteristics contribute to the aerosol mixing state. This review provides an overview of measurement techniques to probe aerosol mixing state, discusses how aerosol mixing state is represented in atmospheric models at different scales, and synthesizes our knowledge of aerosol mixing state's impact on climate‐relevant properties, such as cloud condensation and ice nucleating particle concentrations, and aerosol optical properties. We present these findings within a framework that defines aerosol mixing state along with appropriate mixing state metrics to quantify it. Future research directions are identified, with a focus on the need for integrating mixing state measurements and modeling.

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Section: Representation Of Mixing State In Aerosol Modelsmentioning

confidence: 99%

Aerosol Mixing State: Measurements, Modeling, and Impacts

Riemer

Ault

West

et al. 2019

Reviews of Geophysics

225

287

View full text Add to dashboard Cite

show abstract

“…The ageing of each primary surrogate is represented through a single oxidation step, without NO x dependency, to produce a secondary surrogate of lower volatility (log(C * ) = −2.4, −0.064 and 1.5, respectively) but higher molecular weight. Gaseous I/S-VOC emissions are missing from emission inventories and are estimated here as detailed in Zhu et al (2016): by multiplying the primary organic emissions (POA) by 1.5, and by assigning them to species of different volatilities. A sensitivity study where I-S/VOC emissions are not taken into account is also performed.…”

Section: Simulation Setups and Alternative Parameterizationsmentioning

confidence: 99%

Aerosol sources in the western Mediterranean during summertime: a model-based approach

et al. 2018

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Abstract. In the framework of ChArMEx (the Chemistry-Aerosol Mediterranean Experiment), the air quality model Polyphemus is used to understand the sources of inorganic and organic particles in the western Mediterranean and evaluate the uncertainties linked to the model parameters (meteorological fields, anthropogenic and sea-salt emissions and hypotheses related to the model representation of condensation/evaporation). The model is evaluated by comparisons to in situ aerosol measurements performed during three consecutive summers (2012, 2013 and 2014). The model-to-measurement comparisons concern the concentrations of PM10, PM1, organic matter in PM1 (OM1) and inorganic aerosol concentrations monitored at a remote site (Ersa) on Corsica Island, as well as airborne measurements performed above the western Mediterranean Sea. Organic particles are mostly from biogenic origin. The model parameterization of sea-salt emissions has been shown to strongly influence the concentrations of all particulate species (PM10, PM1, OM1 and inorganic concentrations). Although the emission of organic matter by the sea has been shown to be low, organic concentrations are influenced by sea-salt emissions; this is owing to the fact that they provide a mass onto which gaseous hydrophilic organic compounds can condense. PM10, PM1, OM1 are also very sensitive to meteorology, which affects not only the transport of pollutants but also natural emissions (biogenic and sea salt). To avoid large and unrealistic sea-salt concentrations, a parameterization with an adequate wind speed power law is chosen. Sulfate is shown to be strongly influenced by anthropogenic (ship) emissions. PM10, PM1, OM1 and sulfate concentrations are better described using the emission inventory with the best spatial description of ship emissions (EDGAR-HTAP). However, this is not true for nitrate, ammonium and chloride concentrations, which are very dependent on the hypotheses used in the model regarding condensation/evaporation. Model simulations show that sea-salt aerosols above the sea are not mixed with background transported aerosols. Taking the mixing state of particles with a dynamic approach to condensation/evaporation into account may be necessary to accurately represent inorganic aerosol concentrations.

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“…-The possibility to take into account the mixing state, as done by Zhu et al (2015Zhu et al ( , 2016a, should be added to the model as it can impact the aerosol formation and composition and their optical and hygroscopic properties.…”

Section: Perspectives On Model Improvementmentioning

confidence: 99%

Development of an inorganic and organic aerosol model (CHIMERE 2017<i>β</i> v1.0): seasonal and spatial evaluation over Europe

et al. 2018

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Abstract. A new aerosol module was developed and integrated in the air quality model CHIMERE. Developments include the use of the Model of Emissions and Gases and Aerosols from Nature (MEGAN) 2.1 for biogenic emissions, the implementation of the inorganic thermodynamic model ISORROPIA 2.1, revision of wet deposition processes and of the algorithms of condensation/evaporation and coagulation and the implementation of the secondary organic aerosol (SOA) mechanism H 2 O and the thermodynamic model SOAP.Concentrations of particles over Europe were simulated by the model for the year 2013. Model concentrations were compared to the European Monitoring and Evaluation Programme (EMEP) observations and other observations available in the EBAS database to evaluate the performance of the model. Performances were determined for several components of particles (sea salt, sulfate, ammonium, nitrate, organic aerosol) with a seasonal and regional analysis of results.The model gives satisfactory performance in general. For sea salt, the model succeeds in reproducing the seasonal evolution of concentrations for western and central Europe. For sulfate, except for an overestimation of sulfate in northern Europe, modeled concentrations are close to observations and the model succeeds in reproducing the seasonal evolution of concentrations. For organic aerosol, the model reproduces with satisfactory results concentrations for stations with strong modeled biogenic SOA concentrations. However, the model strongly overestimates ammonium nitrate concentrations during late autumn (possibly due to problems in the temporal evolution of emissions) and strongly underestimates summer organic aerosol concentrations over most of the stations (especially in the northern half of Europe). This underestimation could be due to a lack of anthropogenic SOA or biogenic emissions in northern Europe.A list of recommended tests and developments to improve the model is also given.

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A size-composition resolved aerosol model for simulating the dynamics of externally mixed particles: SCRAM (v 1.0)

Cited by 22 publications

References 43 publications

Aerosol Mixing State: Measurements, Modeling, and Impacts

Aerosol Mixing State: Measurements, Modeling, and Impacts

Aerosol sources in the western Mediterranean during summertime: a model-based approach

Development of an inorganic and organic aerosol model (CHIMERE 2017<i>β</i> v1.0): seasonal and spatial evaluation over Europe

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A size-composition resolved aerosol model for simulating the dynamics of externally mixed particles: SCRAM (v 1.0)

Cited by 22 publications

References 43 publications

Aerosol Mixing State: Measurements, Modeling, and Impacts

Aerosol Mixing State: Measurements, Modeling, and Impacts

Aerosol sources in the western Mediterranean during summertime: a model-based approach

Development of an inorganic and organic aerosol model (CHIMERE 2017&lt;i&gt;β&lt;/i&gt; v1.0): seasonal and spatial evaluation over Europe

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Development of an inorganic and organic aerosol model (CHIMERE 2017<i>β</i> v1.0): seasonal and spatial evaluation over Europe