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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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_97896399_v2016-May_n_p36_PinedaRojas |
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todo:paper_97896399_v2016-May_n_p36_PinedaRojas2023-10-03T16:45:25Z Sensitivity of modelled urban background ozone concentrations to uncertainties in the grs input variables Pineda Rojas, A.L. Mazzeo, N.A. Ferenczi Z. Bozo L. Puskas M.T. 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. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_97896399_v2016-May_n_p36_PinedaRojas |
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Universidad de Buenos Aires |
| institution_str |
I-28 |
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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 Pineda Rojas, A.L. Mazzeo, N.A. Ferenczi Z. Bozo L. Puskas M.T. 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. |
| format |
CONF |
| author |
Pineda Rojas, A.L. Mazzeo, N.A. Ferenczi Z. Bozo L. Puskas M.T. |
| author_facet |
Pineda Rojas, A.L. Mazzeo, N.A. Ferenczi Z. Bozo L. Puskas M.T. |
| author_sort |
Pineda Rojas, A.L. |
| 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 |
| url |
http://hdl.handle.net/20.500.12110/paper_97896399_v2016-May_n_p36_PinedaRojas |
| work_keys_str_mv |
AT pinedarojasal sensitivityofmodelledurbanbackgroundozoneconcentrationstouncertaintiesinthegrsinputvariables AT mazzeona sensitivityofmodelledurbanbackgroundozoneconcentrationstouncertaintiesinthegrsinputvariables AT ferencziz sensitivityofmodelledurbanbackgroundozoneconcentrationstouncertaintiesinthegrsinputvariables AT bozol sensitivityofmodelledurbanbackgroundozoneconcentrationstouncertaintiesinthegrsinputvariables AT puskasmt sensitivityofmodelledurbanbackgroundozoneconcentrationstouncertaintiesinthegrsinputvariables |
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1782027402633805824 |