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...

Full description

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)
id EDOCUR2_b273e784e0d1a0f703cf9a369df37006
oai_identifier_str oai:repository.urosario.edu.co:10336/26833
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 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