Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America

Autores
Bautista, Nahuel Ezequiel; Ruiz, Juan Jose; Salio, Paola Veronica; Burgos, Lucas Julián; Gassmann, María Isabel
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Understanding carbon dioxide (CO2) surface fluxes is essential in the context of a changingclimate. In particular, agriculture significantly contributes to CO2 fluxes. Recently, some studieshave focused on understanding how synoptic-scale variability modulates CO2 fluxes associatedwith vegetation and agriculture, finding that frontal passages and precipitation events exert astrong influence on these fluxes. This variability is particularly relevant in the Argentinean Pampas,where large CO2 fluxes associated with extensive agriculture combine with strong synopticvariability. Numerical modelling provides a valuable tool for investigating surface CO2 fluxesand their variability, despite the uncertainties associated with the model’s limitations. In thiswork, we investigate simulated CO2 fluxes in the Argentinean Pampas using the WeatherResearch and Forecasting Model (WRF) coupled with the Vegetation, Respiration andPhotosynthesis Model (VPRM) over three case studies representing different synoptic-scaleconditions. In addition, we estimate the uncertainty in the simulations by comparing simulatedCO2 fluxes using various WRF configurations and the ERA5 reanalysis. We found that thesynoptic-scale conditions have a considerable impact on the magnitude of fluxes as well asthe simulation uncertainty. Uncertainties in simulated CO2 fluxes can be as high as 60%, beinglarger at sunrise and sunset. Also, the largest uncertainty is associated with a case with a coldfrontal passage and widespread precipitation. These results allow a more accurate estimation ofCO2 flux uncertainty, which is key to understanding the effects of climate change.
Fil: Bautista, Nahuel Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
Fil: Ruiz, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; Argentina
Fil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; Argentina
Fil: Burgos, Lucas Julián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina
Fil: Gassmann, María Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
Materia
CARBON DIOXIDE BALANCE
GROSS PRIMARY PRODUCTION
ECOSYSTEM RESPIRATION
FRONTAL PASSAGE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/256989
Acceder
id CONICETDig_e4f505fa2502967014c5476dc5b8952b
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South AmericaBautista, Nahuel EzequielRuiz, Juan JoseSalio, Paola VeronicaBurgos, Lucas JuliánGassmann, María IsabelCARBON DIOXIDE BALANCEGROSS PRIMARY PRODUCTIONECOSYSTEM RESPIRATIONFRONTAL PASSAGEhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Understanding carbon dioxide (CO2) surface fluxes is essential in the context of a changingclimate. In particular, agriculture significantly contributes to CO2 fluxes. Recently, some studieshave focused on understanding how synoptic-scale variability modulates CO2 fluxes associatedwith vegetation and agriculture, finding that frontal passages and precipitation events exert astrong influence on these fluxes. This variability is particularly relevant in the Argentinean Pampas,where large CO2 fluxes associated with extensive agriculture combine with strong synopticvariability. Numerical modelling provides a valuable tool for investigating surface CO2 fluxesand their variability, despite the uncertainties associated with the model’s limitations. In thiswork, we investigate simulated CO2 fluxes in the Argentinean Pampas using the WeatherResearch and Forecasting Model (WRF) coupled with the Vegetation, Respiration andPhotosynthesis Model (VPRM) over three case studies representing different synoptic-scaleconditions. In addition, we estimate the uncertainty in the simulations by comparing simulatedCO2 fluxes using various WRF configurations and the ERA5 reanalysis. We found that thesynoptic-scale conditions have a considerable impact on the magnitude of fluxes as well asthe simulation uncertainty. Uncertainties in simulated CO2 fluxes can be as high as 60%, beinglarger at sunrise and sunset. Also, the largest uncertainty is associated with a case with a coldfrontal passage and widespread precipitation. These results allow a more accurate estimation ofCO2 flux uncertainty, which is key to understanding the effects of climate change.Fil: Bautista, Nahuel Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; ArgentinaFil: Ruiz, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; ArgentinaFil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; ArgentinaFil: Burgos, Lucas Julián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; ArgentinaFil: Gassmann, María Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; ArgentinaAustralian Meteorological & Oceanographic Society2024-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/256989Bautista, Nahuel Ezequiel; Ruiz, Juan Jose; Salio, Paola Veronica; Burgos, Lucas Julián; Gassmann, María Isabel; Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America; Australian Meteorological & Oceanographic Society; Journal of Southern Hemisphere Earth Systems Science; 74; 3; 12-2024; 1-202206-5865CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.publish.csiro.au/ES/ES24027info:eu-repo/semantics/altIdentifier/doi/10.1071/ES24027info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:15:20Zoai:ri.conicet.gov.ar:11336/256989instacron: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:34982025-10-15 15:15:21.242CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America
title Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America
spellingShingle Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America
Bautista, Nahuel Ezequiel
CARBON DIOXIDE BALANCE
GROSS PRIMARY PRODUCTION
ECOSYSTEM RESPIRATION
FRONTAL PASSAGE
title_short Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America
title_full Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America
title_fullStr Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America
title_full_unstemmed Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America
title_sort Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America
dc.creator.none.fl_str_mv Bautista, Nahuel Ezequiel
Ruiz, Juan Jose
Salio, Paola Veronica
Burgos, Lucas Julián
Gassmann, María Isabel
author Bautista, Nahuel Ezequiel
author_facet Bautista, Nahuel Ezequiel
Ruiz, Juan Jose
Salio, Paola Veronica
Burgos, Lucas Julián
Gassmann, María Isabel
author_role author
author2 Ruiz, Juan Jose
Salio, Paola Veronica
Burgos, Lucas Julián
Gassmann, María Isabel
author2_role author
author
author
author
dc.subject.none.fl_str_mv CARBON DIOXIDE BALANCE
GROSS PRIMARY PRODUCTION
ECOSYSTEM RESPIRATION
FRONTAL PASSAGE
topic CARBON DIOXIDE BALANCE
GROSS PRIMARY PRODUCTION
ECOSYSTEM RESPIRATION
FRONTAL PASSAGE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Understanding carbon dioxide (CO2) surface fluxes is essential in the context of a changingclimate. In particular, agriculture significantly contributes to CO2 fluxes. Recently, some studieshave focused on understanding how synoptic-scale variability modulates CO2 fluxes associatedwith vegetation and agriculture, finding that frontal passages and precipitation events exert astrong influence on these fluxes. This variability is particularly relevant in the Argentinean Pampas,where large CO2 fluxes associated with extensive agriculture combine with strong synopticvariability. Numerical modelling provides a valuable tool for investigating surface CO2 fluxesand their variability, despite the uncertainties associated with the model’s limitations. In thiswork, we investigate simulated CO2 fluxes in the Argentinean Pampas using the WeatherResearch and Forecasting Model (WRF) coupled with the Vegetation, Respiration andPhotosynthesis Model (VPRM) over three case studies representing different synoptic-scaleconditions. In addition, we estimate the uncertainty in the simulations by comparing simulatedCO2 fluxes using various WRF configurations and the ERA5 reanalysis. We found that thesynoptic-scale conditions have a considerable impact on the magnitude of fluxes as well asthe simulation uncertainty. Uncertainties in simulated CO2 fluxes can be as high as 60%, beinglarger at sunrise and sunset. Also, the largest uncertainty is associated with a case with a coldfrontal passage and widespread precipitation. These results allow a more accurate estimation ofCO2 flux uncertainty, which is key to understanding the effects of climate change.
Fil: Bautista, Nahuel Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
Fil: Ruiz, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; Argentina
Fil: Salio, Paola Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; Argentina
Fil: Burgos, Lucas Julián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Luján; Argentina
Fil: Gassmann, María Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
description Understanding carbon dioxide (CO2) surface fluxes is essential in the context of a changingclimate. In particular, agriculture significantly contributes to CO2 fluxes. Recently, some studieshave focused on understanding how synoptic-scale variability modulates CO2 fluxes associatedwith vegetation and agriculture, finding that frontal passages and precipitation events exert astrong influence on these fluxes. This variability is particularly relevant in the Argentinean Pampas,where large CO2 fluxes associated with extensive agriculture combine with strong synopticvariability. Numerical modelling provides a valuable tool for investigating surface CO2 fluxesand their variability, despite the uncertainties associated with the model’s limitations. In thiswork, we investigate simulated CO2 fluxes in the Argentinean Pampas using the WeatherResearch and Forecasting Model (WRF) coupled with the Vegetation, Respiration andPhotosynthesis Model (VPRM) over three case studies representing different synoptic-scaleconditions. In addition, we estimate the uncertainty in the simulations by comparing simulatedCO2 fluxes using various WRF configurations and the ERA5 reanalysis. We found that thesynoptic-scale conditions have a considerable impact on the magnitude of fluxes as well asthe simulation uncertainty. Uncertainties in simulated CO2 fluxes can be as high as 60%, beinglarger at sunrise and sunset. Also, the largest uncertainty is associated with a case with a coldfrontal passage and widespread precipitation. These results allow a more accurate estimation ofCO2 flux uncertainty, which is key to understanding the effects of climate change.
publishDate 2024
dc.date.none.fl_str_mv 2024-12
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/11336/256989
Bautista, Nahuel Ezequiel; Ruiz, Juan Jose; Salio, Paola Veronica; Burgos, Lucas Julián; Gassmann, María Isabel; Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America; Australian Meteorological & Oceanographic Society; Journal of Southern Hemisphere Earth Systems Science; 74; 3; 12-2024; 1-20
2206-5865
CONICET Digital
CONICET
url http://hdl.handle.net/11336/256989
identifier_str_mv Bautista, Nahuel Ezequiel; Ruiz, Juan Jose; Salio, Paola Veronica; Burgos, Lucas Julián; Gassmann, María Isabel; Biogenic CO2 flux uncertainty: numerical experiments and validation over south-eastern South America; Australian Meteorological & Oceanographic Society; Journal of Southern Hemisphere Earth Systems Science; 74; 3; 12-2024; 1-20
2206-5865
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://www.publish.csiro.au/ES/ES24027
info:eu-repo/semantics/altIdentifier/doi/10.1071/ES24027
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Australian Meteorological & Oceanographic Society
publisher.none.fl_str_mv Australian Meteorological & Oceanographic Society
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
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score 13.22299

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