Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models

Autores
Forgioni, Fernando Primo; Muller, Gabriela Viviana; Pinheiro, Damaris Kirsch; Uhrig, Mariela Noelia; Bencherif, Hassan
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The validation of aerosol optical depth (AOD) data is crucial for understanding the impact of wildfires on climate, particularly in regions such as South America, where this phenomenon is recurrent. This study assesses the performance of two global re-analysis products (MERRA- 2 and CAMS) against the AERONET observation network for 2003–2023 and, for the overlapping period 2003–2014, also compares both reanalyses and CMIP6 global climate models. Results show that both reanalyses capture the spatiotemporal variability of AOD, with CAMS performing better in representing fire- derived aerosol types, including Black Carbon AOD (BC AOD) and Organic Carbon AOD (OC AOD). Seasonal patterns indicate peak AOD during the dry season (August–October), coinciding with increased fire activity, while systematic overestimation occurs in regions with complex topog-raphy. CMIP6 models reproduce the seasonal cycle of total AOD but underestimate BC AOD and OC AOD concentrations when compared with CAMS. These results underline the need for improved model parameterizations and for expanding and maintain-ing ground- based observation networks such as AERONET to enhance the reliability of aerosol simulations over South America.
Fil: Forgioni, Fernando Primo. Universidade Federal de Santa Maria; Brasil
Fil: Muller, Gabriela Viviana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Centro de Estudios de Variabilidad y Cambio Climático; Argentina
Fil: Pinheiro, Damaris Kirsch. Universidade Federal de Santa Maria; Brasil
Fil: Uhrig, Mariela Noelia. Provincia de Entre Ríos. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción. Universidad Autónoma de Entre Ríos. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción; Argentina
Fil: Bencherif, Hassan. Centre National de la Recherche Scientifique; Francia
Materia
AERONET
Aerosol optical depth (AOD)
Biomass burning
Fire emissions
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:11336/280424
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/280424
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 ModelsForgioni, Fernando PrimoMuller, Gabriela VivianaPinheiro, Damaris KirschUhrig, Mariela NoeliaBencherif, HassanAERONETAerosol optical depth (AOD)Biomass burningFire emissionshttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The validation of aerosol optical depth (AOD) data is crucial for understanding the impact of wildfires on climate, particularly in regions such as South America, where this phenomenon is recurrent. This study assesses the performance of two global re-analysis products (MERRA- 2 and CAMS) against the AERONET observation network for 2003–2023 and, for the overlapping period 2003–2014, also compares both reanalyses and CMIP6 global climate models. Results show that both reanalyses capture the spatiotemporal variability of AOD, with CAMS performing better in representing fire- derived aerosol types, including Black Carbon AOD (BC AOD) and Organic Carbon AOD (OC AOD). Seasonal patterns indicate peak AOD during the dry season (August–October), coinciding with increased fire activity, while systematic overestimation occurs in regions with complex topog-raphy. CMIP6 models reproduce the seasonal cycle of total AOD but underestimate BC AOD and OC AOD concentrations when compared with CAMS. These results underline the need for improved model parameterizations and for expanding and maintain-ing ground- based observation networks such as AERONET to enhance the reliability of aerosol simulations over South America.Fil: Forgioni, Fernando Primo. Universidade Federal de Santa Maria; BrasilFil: Muller, Gabriela Viviana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Centro de Estudios de Variabilidad y Cambio Climático; ArgentinaFil: Pinheiro, Damaris Kirsch. Universidade Federal de Santa Maria; BrasilFil: Uhrig, Mariela Noelia. Provincia de Entre Ríos. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción. Universidad Autónoma de Entre Ríos. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción; ArgentinaFil: Bencherif, Hassan. Centre National de la Recherche Scientifique; FranciaJohn Wiley & Sons Ltd2025-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/280424Forgioni, Fernando Primo; Muller, Gabriela Viviana; Pinheiro, Damaris Kirsch; Uhrig, Mariela Noelia; Bencherif, Hassan; Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models; John Wiley & Sons Ltd; International Journal of Climatology; 45; 16; 10-2025; 1-170899-8418CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.70149info:eu-repo/semantics/altIdentifier/doi/10.1002/joc.70149info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-02-26T10:03:44Zoai:ri.conicet.gov.ar:11336/280424instacron: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:34982026-02-26 10:03:44.793CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models
title Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models
spellingShingle Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models
Forgioni, Fernando Primo
AERONET
Aerosol optical depth (AOD)
Biomass burning
Fire emissions
title_short Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models
title_full Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models
title_fullStr Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models
title_full_unstemmed Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models
title_sort Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models
dc.creator.none.fl_str_mv Forgioni, Fernando Primo
Muller, Gabriela Viviana
Pinheiro, Damaris Kirsch
Uhrig, Mariela Noelia
Bencherif, Hassan
author Forgioni, Fernando Primo
author_facet Forgioni, Fernando Primo
Muller, Gabriela Viviana
Pinheiro, Damaris Kirsch
Uhrig, Mariela Noelia
Bencherif, Hassan
author_role author
author2 Muller, Gabriela Viviana
Pinheiro, Damaris Kirsch
Uhrig, Mariela Noelia
Bencherif, Hassan
author2_role author
author
author
author
dc.subject.none.fl_str_mv AERONET
Aerosol optical depth (AOD)
Biomass burning
Fire emissions
topic AERONET
Aerosol optical depth (AOD)
Biomass burning
Fire emissions
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 validation of aerosol optical depth (AOD) data is crucial for understanding the impact of wildfires on climate, particularly in regions such as South America, where this phenomenon is recurrent. This study assesses the performance of two global re-analysis products (MERRA- 2 and CAMS) against the AERONET observation network for 2003–2023 and, for the overlapping period 2003–2014, also compares both reanalyses and CMIP6 global climate models. Results show that both reanalyses capture the spatiotemporal variability of AOD, with CAMS performing better in representing fire- derived aerosol types, including Black Carbon AOD (BC AOD) and Organic Carbon AOD (OC AOD). Seasonal patterns indicate peak AOD during the dry season (August–October), coinciding with increased fire activity, while systematic overestimation occurs in regions with complex topog-raphy. CMIP6 models reproduce the seasonal cycle of total AOD but underestimate BC AOD and OC AOD concentrations when compared with CAMS. These results underline the need for improved model parameterizations and for expanding and maintain-ing ground- based observation networks such as AERONET to enhance the reliability of aerosol simulations over South America.
Fil: Forgioni, Fernando Primo. Universidade Federal de Santa Maria; Brasil
Fil: Muller, Gabriela Viviana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Centro de Estudios de Variabilidad y Cambio Climático; Argentina
Fil: Pinheiro, Damaris Kirsch. Universidade Federal de Santa Maria; Brasil
Fil: Uhrig, Mariela Noelia. Provincia de Entre Ríos. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción. Universidad Autónoma de Entre Ríos. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción; Argentina
Fil: Bencherif, Hassan. Centre National de la Recherche Scientifique; Francia
description The validation of aerosol optical depth (AOD) data is crucial for understanding the impact of wildfires on climate, particularly in regions such as South America, where this phenomenon is recurrent. This study assesses the performance of two global re-analysis products (MERRA- 2 and CAMS) against the AERONET observation network for 2003–2023 and, for the overlapping period 2003–2014, also compares both reanalyses and CMIP6 global climate models. Results show that both reanalyses capture the spatiotemporal variability of AOD, with CAMS performing better in representing fire- derived aerosol types, including Black Carbon AOD (BC AOD) and Organic Carbon AOD (OC AOD). Seasonal patterns indicate peak AOD during the dry season (August–October), coinciding with increased fire activity, while systematic overestimation occurs in regions with complex topog-raphy. CMIP6 models reproduce the seasonal cycle of total AOD but underestimate BC AOD and OC AOD concentrations when compared with CAMS. These results underline the need for improved model parameterizations and for expanding and maintain-ing ground- based observation networks such as AERONET to enhance the reliability of aerosol simulations over South America.
publishDate 2025
dc.date.none.fl_str_mv 2025-10
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/11336/280424
Forgioni, Fernando Primo; Muller, Gabriela Viviana; Pinheiro, Damaris Kirsch; Uhrig, Mariela Noelia; Bencherif, Hassan; Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models; John Wiley & Sons Ltd; International Journal of Climatology; 45; 16; 10-2025; 1-17
0899-8418
CONICET Digital
CONICET
url http://hdl.handle.net/11336/280424
identifier_str_mv Forgioni, Fernando Primo; Muller, Gabriela Viviana; Pinheiro, Damaris Kirsch; Uhrig, Mariela Noelia; Bencherif, Hassan; Evaluation of Different Types of Aerosols From Wildfires in South America Using Ground‐Based Observations, Reanalysis and CMIP6 Models; John Wiley & Sons Ltd; International Journal of Climatology; 45; 16; 10-2025; 1-17
0899-8418
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://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.70149
info:eu-repo/semantics/altIdentifier/doi/10.1002/joc.70149
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv John Wiley & Sons Ltd
publisher.none.fl_str_mv John Wiley & Sons Ltd
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_ 1858305063955464192
score 13.176822

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