Modelling Airport Pollutants Dispersion at High Resolution

Sarrat, C.; Aubry, Sébastien; Chaboud, Thomas; Lac, Christine

doi:10.3390/aerospace4030046

Cited by 13 publications

(10 citation statements)

References 27 publications

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“…Therefore, several parameterizations of this process have been implemented into CELLS as described in Barthe et al (2005). This set of parameterizations includes the wellknown equations of Takahashi (1978), Saunders et al (1991), and Saunders and Peck (1998), along with some improvements by Tsenova et al (2013). The inductive process, which is efficient once an electric field is well established in the clouds, can also be activated .…”

Section: Electricitymentioning

confidence: 99%

Overview of the Meso-NH model version 5.4 and its applications

et al. 2018

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Abstract. This paper presents the Meso-NH model version 5.4. Meso-NH is an atmospheric non hydrostatic research model that is applied to a broad range of resolutions, from synoptic to turbulent scales, and is designed for studies of physics and chemistry. It is a limited-area model employing advanced numerical techniques, including monotonic advection schemes for scalar transport and fourth-order centered or odd-order WENO advection schemes for momentum. The model includes state-of-the-art physics parameterization schemes that are important to represent convective-scale phenomena and turbulent eddies, as well as flows at larger scales. In addition, Meso-NH has been expanded to provide capabilities for a range of Earth system prediction applications such as chemistry and aerosols, electricity and lightning, hydrology, wildland fires, volcanic eruptions, and cyclones with ocean coupling. Here, we present the main innovations to the dynamics and physics of the code since the pioneer paper of Lafore et al. (1998) and provide an overview of recent applications and couplings.

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Section: Electricitymentioning

confidence: 99%

Overview of the Meso-NH model version 5.4 and its applications

et al. 2018

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“…The LES is run with the non-hydrostatic atmospheric research model Meso-NH [29] which has already been successfully used to model air quality and dispersion [47,48,30,7]. Meso-NH resolves the unsteady 3D Euler equations under the anelastic hypothesis.…”

Section: Dedicated Simulator Descriptionmentioning

confidence: 99%

Mixed interpolatory and inference non-intrusive reduced order modeling with application to pollutants dispersion

Poussot-Vassal¹,

Sabatier²,

Sarrat³

et al. 2020

Preprint

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On the basis of input-output time-domain data collected from a complex simulator, this paper proposes a constructive methodology to infer a reduced-order linear, bilinear or quadratic time invariant dynamical model reproducing the underlying phenomena. The approach is essentially based on linear dynamical systems and approximation theory. More specifically, it sequentially involves the interpolatory Pencil and Loewner framework, known to be both very versatile and scalable to large-scale data sets, and a linear least square problem involving the raw data and reduced internal variables. With respect to intrusive methods, no prior knowledge on the operator is needed. In addition, compared to the traditional non-intrusive operator inference ones, the proposed approach alleviates the need of measuring the original full-order model internal variables. It is thus applicable to a wider application range than standard intrusive and non-intrusive methods. The rationale is successfully applied on a large eddy simulation of a pollutants dispersion case over an airport area involving multi-scale and multi-physics dynamical phenomena. Despite the simplicity of the resulting low complexity model, the proposed approach shows satisfactory results to predict the pollutants plume pattern while being significantly faster to simulate.

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“…This approach has been successfully used by Bergot et al (2015) and Mazoyer et al (2017) to study the impact of surface heterogeneities on the life cycle of fog. This new parameterization now allows the use of LESs in real-case frameworks (Sarrat et al, 2017).…”

Section: Turbulencementioning

confidence: 99%

Answer to Reviewer 2 : gmd-2017-297-RC2

Lac¹

2018

Preprint

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This paper presents the Meso-NH model version 5.4. Meso-NH is an atmospheric non hydrostatic research model that is applied to a broad range of resolutions, from synoptic to turbulent scales, and is designed for studies of physics and chemistry. It is a limited-area model employing advanced numerical techniques, including monotonic advection schemes for scalar transport and fourth-order centered or odd-order WENO advection schemes for momentum. The model includes state-of-the-art physics parameter-ization schemes that are important to represent convectivescale phenomena and turbulent eddies, as well as flows at larger scales. In addition, Meso-NH has been expanded to provide capabilities for a range of Earth system prediction applications such as chemistry and aerosols, electricity and lightning, hydrology, wildland fires, volcanic eruptions, and cyclones with ocean coupling. Here, we present the main innovations to the dynamics and physics of the code since the Published by Copernicus Publications on behalf of the European Geosciences Union. 1930 C. Lac et al.: Overview of the Meso-NH model pioneer paper of Lafore et al. (1998) and provide an overview of recent applications and couplings.

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Modelling Airport Pollutants Dispersion at High Resolution

Cited by 13 publications

References 27 publications

Overview of the Meso-NH model version 5.4 and its applications

Overview of the Meso-NH model version 5.4 and its applications

Mixed interpolatory and inference non-intrusive reduced order modeling with application to pollutants dispersion

Answer to Reviewer 2 : gmd-2017-297-RC2

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