Quantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnections
In this study, the authors linearize the surface energy budget equation that disentangles indirect effects (resulting from changes in downward shortwave and longwave radiation and air temperature) from direct biophysical effects (resulting from changes in surface albedo, evapotranspiration, and roug...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/26833
- Acceso en línea:
- https://doi.org/10.1175/JCLI-D-17-0563.1
https://repository.urosario.edu.co/handle/10336/26833
- Palabra clave:
- General circulation models
Land surface model
Atmosphere-land interaction
Biosphere-atmosphere interaction
Deforestation
Land use
- Rights
- License
- Abierto (Texto Completo)
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oai:repository.urosario.edu.co:10336/26833 |
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Repositorio EdocUR - U. Rosario |
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6b24a318-6fe7-4bb8-bb1d-7e72d6258c5b-1cb4e3468-7d6b-4bd2-8b14-3ff01d8e74e9-13cea0be3-eea8-4289-a9b2-75baaecf0375-18297216002020-08-19T14:40:20Z2020-08-19T14:40:20Z2018-05-15In this study, the authors linearize the surface energy budget equation that disentangles indirect effects (resulting from changes in downward shortwave and longwave radiation and air temperature) from direct biophysical effects (resulting from changes in surface albedo, evapotranspiration, and roughness length) of deforestation on land surface temperature. This formulation is applied to idealized deforestation simulations from two climate models and to realistic land-use and land-cover change (LULCC) simulations from 11 models, and the contribution of each underlying mechanism to surface temperature change is quantified. It is found that the boreal region experiences dominant indirect effects and the tropics experience dominant direct effects in all seasons in idealized deforestation simulations. The temperate region response differs in the two models. However, five out of seven models in response to realistic historical LULCC show a dominance of indirect effects in the temperate region. In response to future LULCC, three out of four models confirm the dominance of direct effects in the tropical region. It is found that indirect effects are always largely attributable to air temperature feedback and direct effects are essentially driven by changes in roughness length in both idealized and realistic simulations. Furthermore, teleconnections are shown to exist between deforested regions and the rest of the world, associated with the indirect effects. The study also shows that the partitioning between direct and indirect effects is highly model dependent, which may explain part of the intermodel spread found in previous studies comparing the total biophysical effects across models.application/pdfhttps://doi.org/10.1175/JCLI-D-17-0563.1ISSN: 0894-8755EISSN: 1520-0442https://repository.urosario.edu.co/handle/10336/26833engAmerican Meteorological Society3829No. 103811Journal of ClimateVol. 31Journal of Climate, ISSN: 0894-8755;EISSN: 1520-0442, Vol.31, No.10 (15 May 2018); pp. 3811-3829https://journals.ametsoc.org/jcli/article/31/10/3811/94757/Quantifying-the-Relative-Importance-of-Direct-andAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Journal of Climateinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURGeneral circulation modelsLand surface modelAtmosphere-land interactionBiosphere-atmosphere interactionDeforestationLand useQuantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnectionsCuantificar la importancia relativa de los efectos biofísicos directos e indirectos de la deforestación en la temperatura superficial y las teleconexionesarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Devaraju, N.de Noblet-Ducoudré, NathalieBala, G.Quesada, Benjamín Raphael10336/26833oai:repository.urosario.edu.co:10336/268332021-06-03 00:50:00.474https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Quantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnections |
dc.title.TranslatedTitle.spa.fl_str_mv |
Cuantificar la importancia relativa de los efectos biofísicos directos e indirectos de la deforestación en la temperatura superficial y las teleconexiones |
title |
Quantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnections |
spellingShingle |
Quantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnections General circulation models Land surface model Atmosphere-land interaction Biosphere-atmosphere interaction Deforestation Land use |
title_short |
Quantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnections |
title_full |
Quantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnections |
title_fullStr |
Quantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnections |
title_full_unstemmed |
Quantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnections |
title_sort |
Quantifying the relative importance of direct and indirect biophysical effects of deforestation on surface temperature and teleconnections |
dc.subject.keyword.spa.fl_str_mv |
General circulation models Land surface model Atmosphere-land interaction Biosphere-atmosphere interaction Deforestation Land use |
topic |
General circulation models Land surface model Atmosphere-land interaction Biosphere-atmosphere interaction Deforestation Land use |
description |
In this study, the authors linearize the surface energy budget equation that disentangles indirect effects (resulting from changes in downward shortwave and longwave radiation and air temperature) from direct biophysical effects (resulting from changes in surface albedo, evapotranspiration, and roughness length) of deforestation on land surface temperature. This formulation is applied to idealized deforestation simulations from two climate models and to realistic land-use and land-cover change (LULCC) simulations from 11 models, and the contribution of each underlying mechanism to surface temperature change is quantified. It is found that the boreal region experiences dominant indirect effects and the tropics experience dominant direct effects in all seasons in idealized deforestation simulations. The temperate region response differs in the two models. However, five out of seven models in response to realistic historical LULCC show a dominance of indirect effects in the temperate region. In response to future LULCC, three out of four models confirm the dominance of direct effects in the tropical region. It is found that indirect effects are always largely attributable to air temperature feedback and direct effects are essentially driven by changes in roughness length in both idealized and realistic simulations. Furthermore, teleconnections are shown to exist between deforested regions and the rest of the world, associated with the indirect effects. The study also shows that the partitioning between direct and indirect effects is highly model dependent, which may explain part of the intermodel spread found in previous studies comparing the total biophysical effects across models. |
publishDate |
2018 |
dc.date.created.spa.fl_str_mv |
2018-05-15 |
dc.date.accessioned.none.fl_str_mv |
2020-08-19T14:40:20Z |
dc.date.available.none.fl_str_mv |
2020-08-19T14:40:20Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1175/JCLI-D-17-0563.1 |
dc.identifier.issn.none.fl_str_mv |
ISSN: 0894-8755 EISSN: 1520-0442 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/26833 |
url |
https://doi.org/10.1175/JCLI-D-17-0563.1 https://repository.urosario.edu.co/handle/10336/26833 |
identifier_str_mv |
ISSN: 0894-8755 EISSN: 1520-0442 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
3829 |
dc.relation.citationIssue.none.fl_str_mv |
No. 10 |
dc.relation.citationStartPage.none.fl_str_mv |
3811 |
dc.relation.citationTitle.none.fl_str_mv |
Journal of Climate |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 31 |
dc.relation.ispartof.spa.fl_str_mv |
Journal of Climate, ISSN: 0894-8755;EISSN: 1520-0442, Vol.31, No.10 (15 May 2018); pp. 3811-3829 |
dc.relation.uri.spa.fl_str_mv |
https://journals.ametsoc.org/jcli/article/31/10/3811/94757/Quantifying-the-Relative-Importance-of-Direct-and |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
American Meteorological Society |
dc.source.spa.fl_str_mv |
Journal of Climate |
institution |
Universidad del Rosario |
dc.source.instname.none.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.none.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1818106453353824256 |