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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/188086
Ver los metadatos del registro completo
id |
CONICETDig_c98a818223cc586de345ca7fd62e9dd0 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/188086 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
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 http://purl.org/coar/resource_type/c_6501 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 |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://essd.copernicus.org/articles/14/271/2022/ info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-14-271-2022 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
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) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
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 |
_version_ |
1842979950395654144 |
score |
12.993085 |