Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation
- Autores
- Wongchuig, Sly; Carlo Espinoza, Jhan; Condom, Thomas; Junquas, Clementine; Sierra, Juan Pablo; Fita Borrell, Lluís; Sörensson, Anna; Polcher, Jan
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The Amazon forest has a complex interaction with climate at different spatial and temporal scales. This means that alterations in land use could modify the regional water cycle, including the surface and atmospheric water budget. However, little is known about how these changes occur seasonally and in a spatially distributed manner in the most vulnerable regions, such as the southern Amazon. In this study, the local to regional effects of future Amazon deforestation on the surface and atmospheric water budget components are investigated by twin numerical experiments using the Regional Earth System Model of the ‘Institute Pierre Simone Laplace’ (RegIPSL) for 19 yr (2001–2019). The results show that significant changes in precipitation and actual evapotranspiration in the southern Amazon (south of 5°S) are associated with surrounding areas with a deforested ratio higher than 40%. During the onset of the wet season (September-November) the largest changes in convective processes are manifested by opposite atmospheric dynamic in adjacent regions (dipole), associated with. This dynamic is associated with wind orientation and the different sizes of the straight corridors of continuous deforestation (pathways). The dipole manifests itself as a suppression of convection in the upwind sector, while convection increases in the downwind sector of the deforestation pathway. For medium-sized deforestation pathways (∼350 km) convection changes are related to dynamic processes (decrease in surface roughness). In large-sized pathways (∼500 km) the mechanisms causing convective changes are combined, dynamic and thermal (increase in surface temperature). In deforested regions there is an average increase of terrestrial water storage dynamics and runoff ∼10 times higher than in non-deforested regions. Furthermore, the atmosphere becomes ∼8 times drier in deforested regions than in non-deforested regions. Our findings indicate a new perspective regarding a comprehensive modeling approach to understand potential changes in the surface and atmospheric water cycle in different regions of Amazonia and in different seasons due to future deforestation and thus provide new insights into their spatial and temporal variability at sub-regional scales.
Fil: Wongchuig, Sly. Universite Grenoble Alpes; Francia
Fil: Carlo Espinoza, Jhan. Universite Grenoble Alpes; Francia
Fil: Condom, Thomas. Universite Grenoble Alpes; Francia
Fil: Junquas, Clementine. Universite Grenoble Alpes; Francia
Fil: Sierra, Juan Pablo. Universite Grenoble Alpes; Francia
Fil: Fita Borrell, Lluís. 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. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; Argentina
Fil: Sörensson, Anna. 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. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Polcher, Jan. Centre National de la Recherche Scientifique; Francia. École Polytechnique; Francia - Materia
-
CHANGES IN WATER BUDGET
COUPLED LAND–ATMOSPHERE MODELING
FUTURE AMAZON DEFORESTATION - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/228410
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Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulationWongchuig, SlyCarlo Espinoza, JhanCondom, ThomasJunquas, ClementineSierra, Juan PabloFita Borrell, LluísSörensson, AnnaPolcher, JanCHANGES IN WATER BUDGETCOUPLED LAND–ATMOSPHERE MODELINGFUTURE AMAZON DEFORESTATIONhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The Amazon forest has a complex interaction with climate at different spatial and temporal scales. This means that alterations in land use could modify the regional water cycle, including the surface and atmospheric water budget. However, little is known about how these changes occur seasonally and in a spatially distributed manner in the most vulnerable regions, such as the southern Amazon. In this study, the local to regional effects of future Amazon deforestation on the surface and atmospheric water budget components are investigated by twin numerical experiments using the Regional Earth System Model of the ‘Institute Pierre Simone Laplace’ (RegIPSL) for 19 yr (2001–2019). The results show that significant changes in precipitation and actual evapotranspiration in the southern Amazon (south of 5°S) are associated with surrounding areas with a deforested ratio higher than 40%. During the onset of the wet season (September-November) the largest changes in convective processes are manifested by opposite atmospheric dynamic in adjacent regions (dipole), associated with. This dynamic is associated with wind orientation and the different sizes of the straight corridors of continuous deforestation (pathways). The dipole manifests itself as a suppression of convection in the upwind sector, while convection increases in the downwind sector of the deforestation pathway. For medium-sized deforestation pathways (∼350 km) convection changes are related to dynamic processes (decrease in surface roughness). In large-sized pathways (∼500 km) the mechanisms causing convective changes are combined, dynamic and thermal (increase in surface temperature). In deforested regions there is an average increase of terrestrial water storage dynamics and runoff ∼10 times higher than in non-deforested regions. Furthermore, the atmosphere becomes ∼8 times drier in deforested regions than in non-deforested regions. Our findings indicate a new perspective regarding a comprehensive modeling approach to understand potential changes in the surface and atmospheric water cycle in different regions of Amazonia and in different seasons due to future deforestation and thus provide new insights into their spatial and temporal variability at sub-regional scales.Fil: Wongchuig, Sly. Universite Grenoble Alpes; FranciaFil: Carlo Espinoza, Jhan. Universite Grenoble Alpes; FranciaFil: Condom, Thomas. Universite Grenoble Alpes; FranciaFil: Junquas, Clementine. Universite Grenoble Alpes; FranciaFil: Sierra, Juan Pablo. Universite Grenoble Alpes; FranciaFil: Fita Borrell, Lluís. 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. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; ArgentinaFil: Sörensson, Anna. 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. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Polcher, Jan. Centre National de la Recherche Scientifique; Francia. École Polytechnique; FranciaElsevier Science2023-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/228410Wongchuig, Sly; Carlo Espinoza, Jhan; Condom, Thomas; Junquas, Clementine; Sierra, Juan Pablo; et al.; Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation; Elsevier Science; Journal of Hydrology; 625; 130082; 10-2023; 1-210022-1694CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0022169423010247info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jhydrol.2023.130082info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:40:16Zoai:ri.conicet.gov.ar:11336/228410instacron: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:34982025-09-29 09:40:17.274CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation |
title |
Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation |
spellingShingle |
Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation Wongchuig, Sly CHANGES IN WATER BUDGET COUPLED LAND–ATMOSPHERE MODELING FUTURE AMAZON DEFORESTATION |
title_short |
Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation |
title_full |
Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation |
title_fullStr |
Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation |
title_full_unstemmed |
Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation |
title_sort |
Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation |
dc.creator.none.fl_str_mv |
Wongchuig, Sly Carlo Espinoza, Jhan Condom, Thomas Junquas, Clementine Sierra, Juan Pablo Fita Borrell, Lluís Sörensson, Anna Polcher, Jan |
author |
Wongchuig, Sly |
author_facet |
Wongchuig, Sly Carlo Espinoza, Jhan Condom, Thomas Junquas, Clementine Sierra, Juan Pablo Fita Borrell, Lluís Sörensson, Anna Polcher, Jan |
author_role |
author |
author2 |
Carlo Espinoza, Jhan Condom, Thomas Junquas, Clementine Sierra, Juan Pablo Fita Borrell, Lluís Sörensson, Anna Polcher, Jan |
author2_role |
author author author author author author author |
dc.subject.none.fl_str_mv |
CHANGES IN WATER BUDGET COUPLED LAND–ATMOSPHERE MODELING FUTURE AMAZON DEFORESTATION |
topic |
CHANGES IN WATER BUDGET COUPLED LAND–ATMOSPHERE MODELING FUTURE AMAZON DEFORESTATION |
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 Amazon forest has a complex interaction with climate at different spatial and temporal scales. This means that alterations in land use could modify the regional water cycle, including the surface and atmospheric water budget. However, little is known about how these changes occur seasonally and in a spatially distributed manner in the most vulnerable regions, such as the southern Amazon. In this study, the local to regional effects of future Amazon deforestation on the surface and atmospheric water budget components are investigated by twin numerical experiments using the Regional Earth System Model of the ‘Institute Pierre Simone Laplace’ (RegIPSL) for 19 yr (2001–2019). The results show that significant changes in precipitation and actual evapotranspiration in the southern Amazon (south of 5°S) are associated with surrounding areas with a deforested ratio higher than 40%. During the onset of the wet season (September-November) the largest changes in convective processes are manifested by opposite atmospheric dynamic in adjacent regions (dipole), associated with. This dynamic is associated with wind orientation and the different sizes of the straight corridors of continuous deforestation (pathways). The dipole manifests itself as a suppression of convection in the upwind sector, while convection increases in the downwind sector of the deforestation pathway. For medium-sized deforestation pathways (∼350 km) convection changes are related to dynamic processes (decrease in surface roughness). In large-sized pathways (∼500 km) the mechanisms causing convective changes are combined, dynamic and thermal (increase in surface temperature). In deforested regions there is an average increase of terrestrial water storage dynamics and runoff ∼10 times higher than in non-deforested regions. Furthermore, the atmosphere becomes ∼8 times drier in deforested regions than in non-deforested regions. Our findings indicate a new perspective regarding a comprehensive modeling approach to understand potential changes in the surface and atmospheric water cycle in different regions of Amazonia and in different seasons due to future deforestation and thus provide new insights into their spatial and temporal variability at sub-regional scales. Fil: Wongchuig, Sly. Universite Grenoble Alpes; Francia Fil: Carlo Espinoza, Jhan. Universite Grenoble Alpes; Francia Fil: Condom, Thomas. Universite Grenoble Alpes; Francia Fil: Junquas, Clementine. Universite Grenoble Alpes; Francia Fil: Sierra, Juan Pablo. Universite Grenoble Alpes; Francia Fil: Fita Borrell, Lluís. 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. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; Argentina Fil: Sörensson, Anna. 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. Instituto Franco-Argentino sobre Estudios del Clima y sus Impactos; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina Fil: Polcher, Jan. Centre National de la Recherche Scientifique; Francia. École Polytechnique; Francia |
description |
The Amazon forest has a complex interaction with climate at different spatial and temporal scales. This means that alterations in land use could modify the regional water cycle, including the surface and atmospheric water budget. However, little is known about how these changes occur seasonally and in a spatially distributed manner in the most vulnerable regions, such as the southern Amazon. In this study, the local to regional effects of future Amazon deforestation on the surface and atmospheric water budget components are investigated by twin numerical experiments using the Regional Earth System Model of the ‘Institute Pierre Simone Laplace’ (RegIPSL) for 19 yr (2001–2019). The results show that significant changes in precipitation and actual evapotranspiration in the southern Amazon (south of 5°S) are associated with surrounding areas with a deforested ratio higher than 40%. During the onset of the wet season (September-November) the largest changes in convective processes are manifested by opposite atmospheric dynamic in adjacent regions (dipole), associated with. This dynamic is associated with wind orientation and the different sizes of the straight corridors of continuous deforestation (pathways). The dipole manifests itself as a suppression of convection in the upwind sector, while convection increases in the downwind sector of the deforestation pathway. For medium-sized deforestation pathways (∼350 km) convection changes are related to dynamic processes (decrease in surface roughness). In large-sized pathways (∼500 km) the mechanisms causing convective changes are combined, dynamic and thermal (increase in surface temperature). In deforested regions there is an average increase of terrestrial water storage dynamics and runoff ∼10 times higher than in non-deforested regions. Furthermore, the atmosphere becomes ∼8 times drier in deforested regions than in non-deforested regions. Our findings indicate a new perspective regarding a comprehensive modeling approach to understand potential changes in the surface and atmospheric water cycle in different regions of Amazonia and in different seasons due to future deforestation and thus provide new insights into their spatial and temporal variability at sub-regional scales. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-10 |
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/11336/228410 Wongchuig, Sly; Carlo Espinoza, Jhan; Condom, Thomas; Junquas, Clementine; Sierra, Juan Pablo; et al.; Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation; Elsevier Science; Journal of Hydrology; 625; 130082; 10-2023; 1-21 0022-1694 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/228410 |
identifier_str_mv |
Wongchuig, Sly; Carlo Espinoza, Jhan; Condom, Thomas; Junquas, Clementine; Sierra, Juan Pablo; et al.; Changes in the surface and atmospheric water budget due to projected Amazon deforestation: Lessons from a fully coupled model simulation; Elsevier Science; Journal of Hydrology; 625; 130082; 10-2023; 1-21 0022-1694 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.sciencedirect.com/science/article/pii/S0022169423010247 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jhydrol.2023.130082 |
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 |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
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) |
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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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13.070432 |