PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information

Autores
Castesana, Paula Soledad; Diaz Resquin, Melisa; Huneeus, Nicolás; Puliafito, Salvador Enrique; Darras, Sabine; Gómez, Darío; Granier, Claire; Osses Alvarado, Mauricio; Rojas, Néstor; Dawidowski, Laura Elena
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The multidisciplinary project Prediction of Air Pollution in Latin America and the Caribbean (PAPILA) is dedicated to the development and implementation of an air quality analysis and forecasting system to assess pollution impacts on human health and economy. In this context, a comprehensive emission inventory for South America was developed on the basis of the existing data on the global dataset CAMS-GLOB-ANT v4.1 (developed by joining CEDS trends and EDGAR v4.3.2 historical data), enriching it with data derived from locally available emission inventories for Argentina, Chile, and Colombia. This work presents the results of the first joint effort of South American researchers and European colleagues to generate regional maps of emissions, together with a methodological approach to continue incorporating information into future versions of the dataset. This version of the PAPILA dataset includes CO, NOx, NMVOCs, NH3, and SO2 annual emissions from anthropogenic sources for the period 2014-2016, with a spatial resolution of 0.1gg×g0.1gover a domain that covers 32-120ggW and 34ggN-58ggS. The PAPILA dataset is presented as netCDF4 files and is available in an open-Access data repository under a CC-BY 4 license: 10.17632/btf2mz4fhf.3 . A comparative assessment of PAPILA-CAMS datasets was carried out for (i) the South American region, (ii) the countries with local data (Argentina, Colombia, and Chile), and (iii) downscaled emission maps for urban domains with different environmental and anthropogenic factors. Relevant differences were found at both country and urban levels for all the compounds analyzed. Among them, we found that when comparing PAPILA total emissions versus CAMS datasets at the national level, higher levels of NOx and considerably lower levels of the other species were obtained for Argentina, higher levels of SO2 and lower levels of CO and NOx for Colombia, and considerably higher levels of CO, NMVOCs, and SO2 for Chile. These discrepancies are mainly related to the representativeness of local practices in the local emission estimates, to the improvements made in the spatial distribution of the locally estimated emissions, or to both. Both datasets were evaluated against surface concentrations of CO and NOx by using them as input data to the WRF-Chem model for one of the analyzed domains, the metropolitan area of Buenos Aires, for summer and winter of 2015. PAPILA-based modeling results had a smaller bias for CO and NOx concentrations in winter while CAMS-based results for the same period tended to deliver an underestimation of these concentrations. Both inventories exhibited similar performances for CO in summer, while the PAPILA simulation outperformed CAMS for NOx concentrations. These results highlight the importance of refining global inventories with local data to obtain accurate results with high-resolution air quality models.
Fil: Castesana, Paula Soledad. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación e Ingeniería Ambiental; Argentina. Comisión Nacional de Energía Atómica; Argentina
Fil: Diaz Resquin, Melisa. Comisión Nacional de Energía Atómica; Argentina. Universidad de Buenos Aires; Argentina
Fil: Huneeus, Nicolás. Universidad de Chile; Chile
Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Darras, Sabine. Instituto Polytechnique de Toulouse; Francia
Fil: Gómez, Darío. Comisión Nacional de Energía Atómica; Argentina. Universidad de Buenos Aires; Argentina
Fil: Granier, Claire. University of Colorado; Estados Unidos
Fil: Osses Alvarado, Mauricio. Universidad Técnica Federico Santa María; Chile
Fil: Rojas, Néstor. Universidad Nacional de Colombia; Colombia
Fil: Dawidowski, Laura Elena. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación e Ingeniería Ambiental; Argentina. Comisión Nacional de Energía Atómica; Argentina
Materia
EMISSION INVENTORY
SOUTH AMERICA
ATMOSPHERE
PAPILA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/188086

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network_name_str CONICET Digital (CONICET)
spelling PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global informationCastesana, Paula SoledadDiaz Resquin, MelisaHuneeus, NicolásPuliafito, Salvador EnriqueDarras, SabineGómez, DaríoGranier, ClaireOsses Alvarado, MauricioRojas, NéstorDawidowski, Laura ElenaEMISSION INVENTORYSOUTH AMERICAATMOSPHEREPAPILAhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The multidisciplinary project Prediction of Air Pollution in Latin America and the Caribbean (PAPILA) is dedicated to the development and implementation of an air quality analysis and forecasting system to assess pollution impacts on human health and economy. In this context, a comprehensive emission inventory for South America was developed on the basis of the existing data on the global dataset CAMS-GLOB-ANT v4.1 (developed by joining CEDS trends and EDGAR v4.3.2 historical data), enriching it with data derived from locally available emission inventories for Argentina, Chile, and Colombia. This work presents the results of the first joint effort of South American researchers and European colleagues to generate regional maps of emissions, together with a methodological approach to continue incorporating information into future versions of the dataset. This version of the PAPILA dataset includes CO, NOx, NMVOCs, NH3, and SO2 annual emissions from anthropogenic sources for the period 2014-2016, with a spatial resolution of 0.1gg×g0.1gover a domain that covers 32-120ggW and 34ggN-58ggS. The PAPILA dataset is presented as netCDF4 files and is available in an open-Access data repository under a CC-BY 4 license: 10.17632/btf2mz4fhf.3 . A comparative assessment of PAPILA-CAMS datasets was carried out for (i) the South American region, (ii) the countries with local data (Argentina, Colombia, and Chile), and (iii) downscaled emission maps for urban domains with different environmental and anthropogenic factors. Relevant differences were found at both country and urban levels for all the compounds analyzed. Among them, we found that when comparing PAPILA total emissions versus CAMS datasets at the national level, higher levels of NOx and considerably lower levels of the other species were obtained for Argentina, higher levels of SO2 and lower levels of CO and NOx for Colombia, and considerably higher levels of CO, NMVOCs, and SO2 for Chile. These discrepancies are mainly related to the representativeness of local practices in the local emission estimates, to the improvements made in the spatial distribution of the locally estimated emissions, or to both. Both datasets were evaluated against surface concentrations of CO and NOx by using them as input data to the WRF-Chem model for one of the analyzed domains, the metropolitan area of Buenos Aires, for summer and winter of 2015. PAPILA-based modeling results had a smaller bias for CO and NOx concentrations in winter while CAMS-based results for the same period tended to deliver an underestimation of these concentrations. Both inventories exhibited similar performances for CO in summer, while the PAPILA simulation outperformed CAMS for NOx concentrations. These results highlight the importance of refining global inventories with local data to obtain accurate results with high-resolution air quality models.Fil: Castesana, Paula Soledad. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación e Ingeniería Ambiental; Argentina. Comisión Nacional de Energía Atómica; ArgentinaFil: Diaz Resquin, Melisa. Comisión Nacional de Energía Atómica; Argentina. Universidad de Buenos Aires; ArgentinaFil: Huneeus, Nicolás. Universidad de Chile; ChileFil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; ArgentinaFil: Darras, Sabine. Instituto Polytechnique de Toulouse; FranciaFil: Gómez, Darío. Comisión Nacional de Energía Atómica; Argentina. Universidad de Buenos Aires; ArgentinaFil: Granier, Claire. University of Colorado; Estados UnidosFil: Osses Alvarado, Mauricio. Universidad Técnica Federico Santa María; ChileFil: Rojas, Néstor. Universidad Nacional de Colombia; ColombiaFil: Dawidowski, Laura Elena. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación e Ingeniería Ambiental; Argentina. Comisión Nacional de Energía Atómica; ArgentinaCopernicus Publications2022-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/188086Castesana, Paula Soledad; Diaz Resquin, Melisa; Huneeus, Nicolás; Puliafito, Salvador Enrique; Darras, Sabine; et al.; PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information; Copernicus Publications; Earth System Science Data; 14; 1; 1-2022; 271-2931866-3516CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://essd.copernicus.org/articles/14/271/2022/info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-14-271-2022info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:01:27Zoai:ri.conicet.gov.ar:11336/188086instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:01:28.019CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information
title PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information
spellingShingle PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information
Castesana, Paula Soledad
EMISSION INVENTORY
SOUTH AMERICA
ATMOSPHERE
PAPILA
title_short PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information
title_full PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information
title_fullStr PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information
title_full_unstemmed PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information
title_sort PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information
dc.creator.none.fl_str_mv Castesana, Paula Soledad
Diaz Resquin, Melisa
Huneeus, Nicolás
Puliafito, Salvador Enrique
Darras, Sabine
Gómez, Darío
Granier, Claire
Osses Alvarado, Mauricio
Rojas, Néstor
Dawidowski, Laura Elena
author Castesana, Paula Soledad
author_facet Castesana, Paula Soledad
Diaz Resquin, Melisa
Huneeus, Nicolás
Puliafito, Salvador Enrique
Darras, Sabine
Gómez, Darío
Granier, Claire
Osses Alvarado, Mauricio
Rojas, Néstor
Dawidowski, Laura Elena
author_role author
author2 Diaz Resquin, Melisa
Huneeus, Nicolás
Puliafito, Salvador Enrique
Darras, Sabine
Gómez, Darío
Granier, Claire
Osses Alvarado, Mauricio
Rojas, Néstor
Dawidowski, Laura Elena
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv EMISSION INVENTORY
SOUTH AMERICA
ATMOSPHERE
PAPILA
topic EMISSION INVENTORY
SOUTH AMERICA
ATMOSPHERE
PAPILA
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The multidisciplinary project Prediction of Air Pollution in Latin America and the Caribbean (PAPILA) is dedicated to the development and implementation of an air quality analysis and forecasting system to assess pollution impacts on human health and economy. In this context, a comprehensive emission inventory for South America was developed on the basis of the existing data on the global dataset CAMS-GLOB-ANT v4.1 (developed by joining CEDS trends and EDGAR v4.3.2 historical data), enriching it with data derived from locally available emission inventories for Argentina, Chile, and Colombia. This work presents the results of the first joint effort of South American researchers and European colleagues to generate regional maps of emissions, together with a methodological approach to continue incorporating information into future versions of the dataset. This version of the PAPILA dataset includes CO, NOx, NMVOCs, NH3, and SO2 annual emissions from anthropogenic sources for the period 2014-2016, with a spatial resolution of 0.1gg×g0.1gover a domain that covers 32-120ggW and 34ggN-58ggS. The PAPILA dataset is presented as netCDF4 files and is available in an open-Access data repository under a CC-BY 4 license: 10.17632/btf2mz4fhf.3 . A comparative assessment of PAPILA-CAMS datasets was carried out for (i) the South American region, (ii) the countries with local data (Argentina, Colombia, and Chile), and (iii) downscaled emission maps for urban domains with different environmental and anthropogenic factors. Relevant differences were found at both country and urban levels for all the compounds analyzed. Among them, we found that when comparing PAPILA total emissions versus CAMS datasets at the national level, higher levels of NOx and considerably lower levels of the other species were obtained for Argentina, higher levels of SO2 and lower levels of CO and NOx for Colombia, and considerably higher levels of CO, NMVOCs, and SO2 for Chile. These discrepancies are mainly related to the representativeness of local practices in the local emission estimates, to the improvements made in the spatial distribution of the locally estimated emissions, or to both. Both datasets were evaluated against surface concentrations of CO and NOx by using them as input data to the WRF-Chem model for one of the analyzed domains, the metropolitan area of Buenos Aires, for summer and winter of 2015. PAPILA-based modeling results had a smaller bias for CO and NOx concentrations in winter while CAMS-based results for the same period tended to deliver an underestimation of these concentrations. Both inventories exhibited similar performances for CO in summer, while the PAPILA simulation outperformed CAMS for NOx concentrations. These results highlight the importance of refining global inventories with local data to obtain accurate results with high-resolution air quality models.
Fil: Castesana, Paula Soledad. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación e Ingeniería Ambiental; Argentina. Comisión Nacional de Energía Atómica; Argentina
Fil: Diaz Resquin, Melisa. Comisión Nacional de Energía Atómica; Argentina. Universidad de Buenos Aires; Argentina
Fil: Huneeus, Nicolás. Universidad de Chile; Chile
Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
Fil: Darras, Sabine. Instituto Polytechnique de Toulouse; Francia
Fil: Gómez, Darío. Comisión Nacional de Energía Atómica; Argentina. Universidad de Buenos Aires; Argentina
Fil: Granier, Claire. University of Colorado; Estados Unidos
Fil: Osses Alvarado, Mauricio. Universidad Técnica Federico Santa María; Chile
Fil: Rojas, Néstor. Universidad Nacional de Colombia; Colombia
Fil: Dawidowski, Laura Elena. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación e Ingeniería Ambiental; Argentina. Comisión Nacional de Energía Atómica; Argentina
description The multidisciplinary project Prediction of Air Pollution in Latin America and the Caribbean (PAPILA) is dedicated to the development and implementation of an air quality analysis and forecasting system to assess pollution impacts on human health and economy. In this context, a comprehensive emission inventory for South America was developed on the basis of the existing data on the global dataset CAMS-GLOB-ANT v4.1 (developed by joining CEDS trends and EDGAR v4.3.2 historical data), enriching it with data derived from locally available emission inventories for Argentina, Chile, and Colombia. This work presents the results of the first joint effort of South American researchers and European colleagues to generate regional maps of emissions, together with a methodological approach to continue incorporating information into future versions of the dataset. This version of the PAPILA dataset includes CO, NOx, NMVOCs, NH3, and SO2 annual emissions from anthropogenic sources for the period 2014-2016, with a spatial resolution of 0.1gg×g0.1gover a domain that covers 32-120ggW and 34ggN-58ggS. The PAPILA dataset is presented as netCDF4 files and is available in an open-Access data repository under a CC-BY 4 license: 10.17632/btf2mz4fhf.3 . A comparative assessment of PAPILA-CAMS datasets was carried out for (i) the South American region, (ii) the countries with local data (Argentina, Colombia, and Chile), and (iii) downscaled emission maps for urban domains with different environmental and anthropogenic factors. Relevant differences were found at both country and urban levels for all the compounds analyzed. Among them, we found that when comparing PAPILA total emissions versus CAMS datasets at the national level, higher levels of NOx and considerably lower levels of the other species were obtained for Argentina, higher levels of SO2 and lower levels of CO and NOx for Colombia, and considerably higher levels of CO, NMVOCs, and SO2 for Chile. These discrepancies are mainly related to the representativeness of local practices in the local emission estimates, to the improvements made in the spatial distribution of the locally estimated emissions, or to both. Both datasets were evaluated against surface concentrations of CO and NOx by using them as input data to the WRF-Chem model for one of the analyzed domains, the metropolitan area of Buenos Aires, for summer and winter of 2015. PAPILA-based modeling results had a smaller bias for CO and NOx concentrations in winter while CAMS-based results for the same period tended to deliver an underestimation of these concentrations. Both inventories exhibited similar performances for CO in summer, while the PAPILA simulation outperformed CAMS for NOx concentrations. These results highlight the importance of refining global inventories with local data to obtain accurate results with high-resolution air quality models.
publishDate 2022
dc.date.none.fl_str_mv 2022-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/188086
Castesana, Paula Soledad; Diaz Resquin, Melisa; Huneeus, Nicolás; Puliafito, Salvador Enrique; Darras, Sabine; et al.; PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information; Copernicus Publications; Earth System Science Data; 14; 1; 1-2022; 271-293
1866-3516
CONICET Digital
CONICET
url http://hdl.handle.net/11336/188086
identifier_str_mv Castesana, Paula Soledad; Diaz Resquin, Melisa; Huneeus, Nicolás; Puliafito, Salvador Enrique; Darras, Sabine; et al.; PAPILA dataset: A regional emission inventory of reactive gases for South America based on the combination of local and global information; Copernicus Publications; Earth System Science Data; 14; 1; 1-2022; 271-293
1866-3516
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-14-271-2022
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
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dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Copernicus Publications
publisher.none.fl_str_mv Copernicus Publications
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
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reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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