Optimization of HPC Use for 3D High Resolution Urban Air Quality Assessment and Downstream Services

The number of cities, or parts of cities, where air quality has been computed using the PMSS 3D model now appears to be sufficient to allow assessment and understanding of performance. Two fields of application explain the growing number of sites: the first is the long-term air quality assessment re...

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Autores principales:	Maxime Nibart, Bruno Ribstein, Lydia Ricolleau, Gianni Tinarelli, Daniela Barbero, Armand Albergel, Jacques Moussafir
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	air quality impact study 3D PMSS model high resolution grid Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/6156003106fe4738b6bd22847a638b2b
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spelling	oai:doaj.org-article:6156003106fe4738b6bd22847a638b2b2021-11-25T16:44:15ZOptimization of HPC Use for 3D High Resolution Urban Air Quality Assessment and Downstream Services10.3390/atmos121114102073-4433https://doaj.org/article/6156003106fe4738b6bd22847a638b2b2021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1410https://doaj.org/toc/2073-4433The number of cities, or parts of cities, where air quality has been computed using the PMSS 3D model now appears to be sufficient to allow assessment and understanding of performance. Two fields of application explain the growing number of sites: the first is the long-term air quality assessment required in urban areas for any building or road project. The geometric complexity found in such areas can justify the use of a 3D approach, as opposed to Gaussian ones. However, these studies have constraining rules that can make the modelling challenging: several scenarios are needed (current, future with project, future without project), the long-term impact implies a long physical time period to be computed, and the spatial extension of the domain can be large in order to cover the traffic impact zone of the project. The second type of application is dedicated to services and, essentially, to forecasting. As for impact assessments, the modelling can be challenging here because of the extension of the domain if the target area is a whole city. Forecast also adds the constraint of time, as results are requested early, and the constraint of robustness. The CPU amount needed to meet all these requirements is important. It is therefore crucial to optimize all possible parts of the modelling chain in order to limit cost and delay. The sites presented in the article have been modelled with PMSS for long periods. This allows feedback to be provided on different topics: (a) daily forecasts offer an opportunity to increase the robustness of the modelling chain; (b) quantitative validation at air quality measurement stations; (c) comparison of annual impact based on a whole year, and based on a sampling list of dates selected thanks to a classification process; (d) large calculation domains with widespread pollutant emissions offer a great opportunity to qualitatively check and improve model results on numerous geometrical configurations; (e) CPU time variations between different sites provide valuable information to select the best parametrizations, to predict the cost of the services, and to design the needed hardware for a new site.Maxime NibartBruno RibsteinLydia RicolleauGianni TinarelliDaniela BarberoArmand AlbergelJacques MoussafirMDPI AGarticleair quality impact study3DPMSS modelhigh resolution gridMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1410, p 1410 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	air quality impact study 3D PMSS model high resolution grid Meteorology. Climatology QC851-999
spellingShingle	air quality impact study 3D PMSS model high resolution grid Meteorology. Climatology QC851-999 Maxime Nibart Bruno Ribstein Lydia Ricolleau Gianni Tinarelli Daniela Barbero Armand Albergel Jacques Moussafir Optimization of HPC Use for 3D High Resolution Urban Air Quality Assessment and Downstream Services
description	The number of cities, or parts of cities, where air quality has been computed using the PMSS 3D model now appears to be sufficient to allow assessment and understanding of performance. Two fields of application explain the growing number of sites: the first is the long-term air quality assessment required in urban areas for any building or road project. The geometric complexity found in such areas can justify the use of a 3D approach, as opposed to Gaussian ones. However, these studies have constraining rules that can make the modelling challenging: several scenarios are needed (current, future with project, future without project), the long-term impact implies a long physical time period to be computed, and the spatial extension of the domain can be large in order to cover the traffic impact zone of the project. The second type of application is dedicated to services and, essentially, to forecasting. As for impact assessments, the modelling can be challenging here because of the extension of the domain if the target area is a whole city. Forecast also adds the constraint of time, as results are requested early, and the constraint of robustness. The CPU amount needed to meet all these requirements is important. It is therefore crucial to optimize all possible parts of the modelling chain in order to limit cost and delay. The sites presented in the article have been modelled with PMSS for long periods. This allows feedback to be provided on different topics: (a) daily forecasts offer an opportunity to increase the robustness of the modelling chain; (b) quantitative validation at air quality measurement stations; (c) comparison of annual impact based on a whole year, and based on a sampling list of dates selected thanks to a classification process; (d) large calculation domains with widespread pollutant emissions offer a great opportunity to qualitatively check and improve model results on numerous geometrical configurations; (e) CPU time variations between different sites provide valuable information to select the best parametrizations, to predict the cost of the services, and to design the needed hardware for a new site.
format	article
author	Maxime Nibart Bruno Ribstein Lydia Ricolleau Gianni Tinarelli Daniela Barbero Armand Albergel Jacques Moussafir
author_facet	Maxime Nibart Bruno Ribstein Lydia Ricolleau Gianni Tinarelli Daniela Barbero Armand Albergel Jacques Moussafir
author_sort	Maxime Nibart
title	Optimization of HPC Use for 3D High Resolution Urban Air Quality Assessment and Downstream Services
title_short	Optimization of HPC Use for 3D High Resolution Urban Air Quality Assessment and Downstream Services
title_full	Optimization of HPC Use for 3D High Resolution Urban Air Quality Assessment and Downstream Services
title_fullStr	Optimization of HPC Use for 3D High Resolution Urban Air Quality Assessment and Downstream Services
title_full_unstemmed	Optimization of HPC Use for 3D High Resolution Urban Air Quality Assessment and Downstream Services
title_sort	optimization of hpc use for 3d high resolution urban air quality assessment and downstream services
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/6156003106fe4738b6bd22847a638b2b
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Optimization of HPC Use for 3D High Resolution Urban Air Quality Assessment and Downstream Services

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