ADREA-I: A Three-Dimensional Transient Transport Code for Complex Terrain and Other Applications

Bartzis, John G.; Venetsanos, A.G.; Varvayanni, M.; Catsaros, N.; Megaritou, Afroditi

doi:10.13182/nt91-a34537

Cited by 43 publications

(23 citation statements)

References 17 publications

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“…For each episode we simulate aerosol formation with and without nucleation. The meteorological fields are generated by the 3-D non-hydrostatic, fully compressible ADREA-I mesoscale prognostic model (Bartzis et al 1991). For both domains, data from the literature were used as initial conditions for 24 gas species and eight aerosol constituents.…”

Section: Application Of the New Version Of The Uam-aero Modelmentioning

confidence: 99%

Modeling New Particle Formation During Air Pollution Episodes: Impacts on Aerosol and Cloud Condensation Nuclei

Sotiropoulou

Tagaris

Pilinis

et al. 2006

Aerosol Science and Technology

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The impact of new particle formation on regional air quality and CCN formation is for the first time explored using the UAM-AERO air quality model. New particles are formed by ternary nucleation of sulfuric acid, ammonia and water; subsequent growth of clusters to large sizes is driven by condensation of sulfuric acid and organic vapors, as described by the recently developed nano-Köhler theory. Application of the model in Athens (GAA) and Marseilles (GMA) reveals higher sulfuric acid condensational sink and gaseous sulfuric acid (hence nucleation rate) for the latter. However, limited quantities of organic vapors in the GMA inhibit the growth of the formed clusters; therefore new particle formation is more efficient in the GAA. A sensitivity analysis demonstrates that (1) uncertainty in vaporization enthalpy does not affect organic carbon formed by nucleation, and (2) an accommodation coefficient of unity gives excellent agreement of condensation sink with in-situ observations. Nucleation affects the aerosol size distribution, and can be an important contributor to CCN; locally it can be more important than chemical ageing of pre-existing aerosols.

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Section: Application Of the New Version Of The Uam-aero Modelmentioning

confidence: 99%

Modeling New Particle Formation During Air Pollution Episodes: Impacts on Aerosol and Cloud Condensation Nuclei

Sotiropoulou

Tagaris

Pilinis

et al. 2006

Aerosol Science and Technology

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“…The O'Neil Nebraska atmospheric boundary layer growth experiment b. The slanted roofs street canyon problem The present turbulence model as well as the standard k-ε model have been incorporated into the CFD local scale computer code ADREA ( [1], [18]). It is a finite volume transient, three-dimensional, fully compressible transport code with emphasis on terrains of high complexity.…”

Section: A New Approach In Two Equation Turbulence Modellingmentioning

confidence: 99%

Turbulence modeling in the atmospheric boundary layer: a review and some recent developments

Bartzis¹

2006

WIT Transactions on Ecology and the Environment, Vol 86

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Wind flow and pollutant dispersion are the main two points of interest that make the prediction of the atmospheric flow a necessity for the modern society. Atmospheric problems are an important CFD application field and have repeatedly boosted CFD development. CFD-LES methodology is more attractive to local scale problems and neutral flows. CFD-RANS methodology is the main tool used today for practical problems. The problem of turbulence closure scheme selection for CFD-RANS applications is still an open question in atmospheric flows. For local scale problems the two equation turbulence modelling approach is the dominant one and especially the standard k-ε model. In the literature one can find simpler models (empirical, one equation models) or higher models as well as Reynolds stress models. Recently, the k-ε model has been re-examined and a new general approach in developing two-equation turbulence models is proposed with the aim of improving their reliability and consequently their range of applicability. The results up to now are quite encouraging.

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“…For further details on estimating the lengthscales, the reader should refer to Bartzis (1989). In Bartzis et al (1991) the implementation of the turbulence scheme in the ADREA mesoscale model is presented in detail.…”

Section: Turbulenceclosurementioning

confidence: 99%

“…The only particularity, arising from the structure of our coordinate system, is that friction velocity is related to the velocity component parallel to the ground surface orientation rather than to the horizontal velocity component. Further details are given in Bartzis et al (1991).…”

Section: Initial and Boundary Conditionsmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of orographic precipitation using cartesian coordinates and a single prognostic equation for the water substance

Housiadas

Amanatidis

Bartzis

1991

Boundary-Layer Meteorol

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The three-dimensional compressible non-hydrostatic mesoscale model ADREA. developed at NCSR "Demokritos" for wind field and dispersion predictions in complex terrain. is used to perform two-dimensional simulations of orographically induced precipitation. The model makes use of a simple Cartesian grid by allowing blocked areas in the grid volumes and grid faces which are crossed by the irregular topography (the so-called porous-medium concept). Additionally.since we are seeking both simplicity and low computational requirements, only one prognostic equation for the whole of the water substance is implemented. The model equations are based on the theory developed for multicomponentimultiphase mixtures and give full account of the effects arising from the relative motion between water particles and moist air. The evaluation of the feasibility of this approach is obtained by comparing model predictions with measurements and analytical results concerning orographic precipitation episodes in the mountain barrier of Sierra Nevada.

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ADREA-I: A Three-Dimensional Transient Transport Code for Complex Terrain and Other Applications

Cited by 43 publications

References 17 publications

Modeling New Particle Formation During Air Pollution Episodes: Impacts on Aerosol and Cloud Condensation Nuclei

Modeling New Particle Formation During Air Pollution Episodes: Impacts on Aerosol and Cloud Condensation Nuclei

Turbulence modeling in the atmospheric boundary layer: a review and some recent developments

Prediction of orographic precipitation using cartesian coordinates and a single prognostic equation for the water substance

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