Sensitivity of modelled urban background ozone concentrations to uncertainties in the grs input variables

In this work, we apply the Monte Carlo analysis to evaluate the uncertainty of modelled summer maximum ozone diurnal peak concentrations (Cmax) in the Metropolitan Area of Buenos Aires (MABA), Argentina resulting from uncertainties in the Generic Reaction Set (GRS) input variables, using the DAUMOD-...

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Publicado:	2016
Materias:	DAUMOD-GRS Monte Carlo method Ozone Sensitivity Uncertainty Atmospheric movements Monte Carlo methods Nitrogen oxides Generic reaction set Initial concentration Monte carlo analysis Peak concentrations Relative contribution Uncertainty analysis
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97896399_v2016-May_n_p36_PinedaRojas http://hdl.handle.net/20.500.12110/paper_97896399_v2016-May_n_p36_PinedaRojas
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_97896399_v2016-May_n_p36_PinedaRojas
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spelling	paper:paper_97896399_v2016-May_n_p36_PinedaRojas2023-06-08T16:39:12Z Sensitivity of modelled urban background ozone concentrations to uncertainties in the grs input variables DAUMOD-GRS Monte Carlo method Ozone Sensitivity Uncertainty Atmospheric movements Monte Carlo methods Nitrogen oxides Ozone DAUMOD-GRS Generic reaction set Initial concentration Monte carlo analysis Peak concentrations Relative contribution Sensitivity Uncertainty Uncertainty analysis In this work, we apply the Monte Carlo analysis to evaluate the uncertainty of modelled summer maximum ozone diurnal peak concentrations (Cmax) in the Metropolitan Area of Buenos Aires (MABA), Argentina resulting from uncertainties in the Generic Reaction Set (GRS) input variables, using the DAUMOD-GRS model. Values of Cmax occurring at early morning or late evening hours present greater uncertainties than those occurring around midday hours. Uncertainty of Cmax is dominated by that in the GRS ozone initial concentration at all analysed receptors, with relative contributions varying between 67.5-89.8%. The second most important variable is the nitrogen oxides initial concentration, whose relative contribution may increase (in our experiments up to 11.7%) depending on the uncertainties of the GRS input variables. © 2018 Hungarian Meteorological Service. All Rights Reserved. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97896399_v2016-May_n_p36_PinedaRojas http://hdl.handle.net/20.500.12110/paper_97896399_v2016-May_n_p36_PinedaRojas
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	DAUMOD-GRS Monte Carlo method Ozone Sensitivity Uncertainty Atmospheric movements Monte Carlo methods Nitrogen oxides Ozone DAUMOD-GRS Generic reaction set Initial concentration Monte carlo analysis Peak concentrations Relative contribution Sensitivity Uncertainty Uncertainty analysis
spellingShingle	DAUMOD-GRS Monte Carlo method Ozone Sensitivity Uncertainty Atmospheric movements Monte Carlo methods Nitrogen oxides Ozone DAUMOD-GRS Generic reaction set Initial concentration Monte carlo analysis Peak concentrations Relative contribution Sensitivity Uncertainty Uncertainty analysis Sensitivity of modelled urban background ozone concentrations to uncertainties in the grs input variables
topic_facet	DAUMOD-GRS Monte Carlo method Ozone Sensitivity Uncertainty Atmospheric movements Monte Carlo methods Nitrogen oxides Ozone DAUMOD-GRS Generic reaction set Initial concentration Monte carlo analysis Peak concentrations Relative contribution Sensitivity Uncertainty Uncertainty analysis
description	In this work, we apply the Monte Carlo analysis to evaluate the uncertainty of modelled summer maximum ozone diurnal peak concentrations (Cmax) in the Metropolitan Area of Buenos Aires (MABA), Argentina resulting from uncertainties in the Generic Reaction Set (GRS) input variables, using the DAUMOD-GRS model. Values of Cmax occurring at early morning or late evening hours present greater uncertainties than those occurring around midday hours. Uncertainty of Cmax is dominated by that in the GRS ozone initial concentration at all analysed receptors, with relative contributions varying between 67.5-89.8%. The second most important variable is the nitrogen oxides initial concentration, whose relative contribution may increase (in our experiments up to 11.7%) depending on the uncertainties of the GRS input variables. © 2018 Hungarian Meteorological Service. All Rights Reserved.
title	Sensitivity of modelled urban background ozone concentrations to uncertainties in the grs input variables
title_short	Sensitivity of modelled urban background ozone concentrations to uncertainties in the grs input variables
title_full	Sensitivity of modelled urban background ozone concentrations to uncertainties in the grs input variables
title_fullStr	Sensitivity of modelled urban background ozone concentrations to uncertainties in the grs input variables
title_full_unstemmed	Sensitivity of modelled urban background ozone concentrations to uncertainties in the grs input variables
title_sort	sensitivity of modelled urban background ozone concentrations to uncertainties in the grs input variables
publishDate	2016
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97896399_v2016-May_n_p36_PinedaRojas http://hdl.handle.net/20.500.12110/paper_97896399_v2016-May_n_p36_PinedaRojas
_version_	1769175783655342080

Sensitivity of modelled urban background ozone concentrations to uncertainties in the grs input variables

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