Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin.
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1055915 |
Resumo: | Canopy and aerodynamic conductances (gC and gA) are two of the key land surface biophysical variables that control the land surface response of land surface schemes in climate models. Their representation is crucial for predicting transpiration (?ET) and evaporation (?EE) flux components of the terrestrial latent heat flux (?E), which has important implications for global climate change and water resource management. By physical integration of radiometric surface temperature (TR) into an integrated framework of the Penman?Monteith and Shuttleworth?Wallace models, we present a novel approach to directly quantify the canopy-scale biophysical controls on ?ET and ?EE over multiple plant functional types (PFTs) in the Amazon Basin. Combining data from six LBA (Large-scale Biosphere-Atmosphere Experiment in Amazonia) eddy covariance tower sites and a TR-driven physically based modeling approach, we identified the canopy-scale feedback-response mechanism between gC, ?ET, and atmospheric vapor pressure deficit (DA), without using any leaf-scale empirical parameterizations for the modeling. The TR-based model shows minor biophysical control on ?ET during the wet (rainy) seasons where ?ET becomes predominantly radiation driven and net radiation (RN) determines 75 to 80?% of the variances of ?ET. However, biophysical control on ?ET is dramatically increased during the dry seasons, and particularly the 2005 drought year, explaining 50 to 65?% of the variances of ?ET, and indicates ?ET to be substantially soil moisture driven during the rainfall deficit phase. Despite substantial differences in gA between forests and pastures, very similar canopy?atmosphere "coupling" was found in these two biomes due to soil moisture-induced decrease in gC in the pasture. This revealed the pragmatic aspect of the TR-driven model behavior that exhibits a high sensitivity of gC to per unit change in wetness as opposed to gA that is marginally sensitive to surface wetness variability. Our results reveal the occurrence of a significant hysteresis between ?ET and gC during the dry season for the pasture sites, which is attributed to relatively low soil water availability as compared to the rainforests, likely due to differences in rooting depth between the two systems. Evaporation was significantly influenced by gA for all the PFTs and across all wetness conditions. Our analytical framework logically captures the responses of gC and gA to changes in atmospheric radiation, DA, and surface radiometric temperature, and thus appears to be promising for the improvement of existing land?surface?atmosphere exchange parameterizations across a range of spatial scales. |
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Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin.TranspiraçãoClimatologiaEvaporaçãoAmazoniaCanopy and aerodynamic conductances (gC and gA) are two of the key land surface biophysical variables that control the land surface response of land surface schemes in climate models. Their representation is crucial for predicting transpiration (?ET) and evaporation (?EE) flux components of the terrestrial latent heat flux (?E), which has important implications for global climate change and water resource management. By physical integration of radiometric surface temperature (TR) into an integrated framework of the Penman?Monteith and Shuttleworth?Wallace models, we present a novel approach to directly quantify the canopy-scale biophysical controls on ?ET and ?EE over multiple plant functional types (PFTs) in the Amazon Basin. Combining data from six LBA (Large-scale Biosphere-Atmosphere Experiment in Amazonia) eddy covariance tower sites and a TR-driven physically based modeling approach, we identified the canopy-scale feedback-response mechanism between gC, ?ET, and atmospheric vapor pressure deficit (DA), without using any leaf-scale empirical parameterizations for the modeling. The TR-based model shows minor biophysical control on ?ET during the wet (rainy) seasons where ?ET becomes predominantly radiation driven and net radiation (RN) determines 75 to 80?% of the variances of ?ET. However, biophysical control on ?ET is dramatically increased during the dry seasons, and particularly the 2005 drought year, explaining 50 to 65?% of the variances of ?ET, and indicates ?ET to be substantially soil moisture driven during the rainfall deficit phase. Despite substantial differences in gA between forests and pastures, very similar canopy?atmosphere "coupling" was found in these two biomes due to soil moisture-induced decrease in gC in the pasture. This revealed the pragmatic aspect of the TR-driven model behavior that exhibits a high sensitivity of gC to per unit change in wetness as opposed to gA that is marginally sensitive to surface wetness variability. Our results reveal the occurrence of a significant hysteresis between ?ET and gC during the dry season for the pasture sites, which is attributed to relatively low soil water availability as compared to the rainforests, likely due to differences in rooting depth between the two systems. Evaporation was significantly influenced by gA for all the PFTs and across all wetness conditions. Our analytical framework logically captures the responses of gC and gA to changes in atmospheric radiation, DA, and surface radiometric temperature, and thus appears to be promising for the improvement of existing land?surface?atmosphere exchange parameterizations across a range of spatial scales.KANISKA MALLICK, Luxembourg Institute of Science and TechnologyIVONNE TREBS, Luxembourg Institute of Science and TechnologyEVA BOEGH, Roskilde UniversityLAURA GIUSTARINI, Luxembourg Institute of Science and TechnologyMARTIN SCHLERF, Luxembourg Institute of Science and TechnologyDARREN DREWRY, California Institute of TechnologyLUCIEN HOFFMANN, Luxembourg Institute of Science and TechnologyCELSO VON RANDOW, INPEBART KRUIJT, Wageningen University and Research CentreALESSANDRO CARIOCA DE ARAUJO, CPATUSCOTT SALESKA, University of ArizonaJAMES R. EHLERINGER, University of UtahTOMAS F. DOMINGUES, USPJEAN PIERRE H. B. OMETTO, INPEANTONIO D. NOBRE, INPEOSVALDO LUIZ LEAL DE MORAES, Centro Nacional de Monitoramento e Alertas de Desastres NaturaisMATTHEW HAYEK, Harvard UniversityWILLIAM MUNGER, Harvard UniversitySTEVE WOFSY, Harvard University.MALLICK, K.TREBS, I.BOEGH, E.GIUSTARINI, L.SCHLERF, M.DREWRY, D. T.HOFFMANN, L.RANDOW, C. vonKRUIJT, B.ARAUJO, A.SALESKA, S.EHLERINGER, J. R.DOMINGUES, T. F.OMETTO, J. P. H. B.NOBRE, A. D.MORAES, O. L. L. deHAYEK, M.MUNGER, J. W.WOFSY, S. C.2016-11-04T11:11:11Z2016-11-04T11:11:11Z2016-11-0420162017-03-03T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleHydrology and Earth System Science Discussions, 27 Jan. 2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/105591510.5194/hess-2015-552porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T02:53:30Zoai:www.alice.cnptia.embrapa.br:doc/1055915Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T02:53:30falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T02:53:30Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
title |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
spellingShingle |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. MALLICK, K. Transpiração Climatologia Evaporação Amazonia |
title_short |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
title_full |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
title_fullStr |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
title_full_unstemmed |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
title_sort |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
author |
MALLICK, K. |
author_facet |
MALLICK, K. TREBS, I. BOEGH, E. GIUSTARINI, L. SCHLERF, M. DREWRY, D. T. HOFFMANN, L. RANDOW, C. von KRUIJT, B. ARAUJO, A. SALESKA, S. EHLERINGER, J. R. DOMINGUES, T. F. OMETTO, J. P. H. B. NOBRE, A. D. MORAES, O. L. L. de HAYEK, M. MUNGER, J. W. WOFSY, S. C. |
author_role |
author |
author2 |
TREBS, I. BOEGH, E. GIUSTARINI, L. SCHLERF, M. DREWRY, D. T. HOFFMANN, L. RANDOW, C. von KRUIJT, B. ARAUJO, A. SALESKA, S. EHLERINGER, J. R. DOMINGUES, T. F. OMETTO, J. P. H. B. NOBRE, A. D. MORAES, O. L. L. de HAYEK, M. MUNGER, J. W. WOFSY, S. C. |
author2_role |
author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
KANISKA MALLICK, Luxembourg Institute of Science and Technology IVONNE TREBS, Luxembourg Institute of Science and Technology EVA BOEGH, Roskilde University LAURA GIUSTARINI, Luxembourg Institute of Science and Technology MARTIN SCHLERF, Luxembourg Institute of Science and Technology DARREN DREWRY, California Institute of Technology LUCIEN HOFFMANN, Luxembourg Institute of Science and Technology CELSO VON RANDOW, INPE BART KRUIJT, Wageningen University and Research Centre ALESSANDRO CARIOCA DE ARAUJO, CPATU SCOTT SALESKA, University of Arizona JAMES R. EHLERINGER, University of Utah TOMAS F. DOMINGUES, USP JEAN PIERRE H. B. OMETTO, INPE ANTONIO D. NOBRE, INPE OSVALDO LUIZ LEAL DE MORAES, Centro Nacional de Monitoramento e Alertas de Desastres Naturais MATTHEW HAYEK, Harvard University WILLIAM MUNGER, Harvard University STEVE WOFSY, Harvard University. |
dc.contributor.author.fl_str_mv |
MALLICK, K. TREBS, I. BOEGH, E. GIUSTARINI, L. SCHLERF, M. DREWRY, D. T. HOFFMANN, L. RANDOW, C. von KRUIJT, B. ARAUJO, A. SALESKA, S. EHLERINGER, J. R. DOMINGUES, T. F. OMETTO, J. P. H. B. NOBRE, A. D. MORAES, O. L. L. de HAYEK, M. MUNGER, J. W. WOFSY, S. C. |
dc.subject.por.fl_str_mv |
Transpiração Climatologia Evaporação Amazonia |
topic |
Transpiração Climatologia Evaporação Amazonia |
description |
Canopy and aerodynamic conductances (gC and gA) are two of the key land surface biophysical variables that control the land surface response of land surface schemes in climate models. Their representation is crucial for predicting transpiration (?ET) and evaporation (?EE) flux components of the terrestrial latent heat flux (?E), which has important implications for global climate change and water resource management. By physical integration of radiometric surface temperature (TR) into an integrated framework of the Penman?Monteith and Shuttleworth?Wallace models, we present a novel approach to directly quantify the canopy-scale biophysical controls on ?ET and ?EE over multiple plant functional types (PFTs) in the Amazon Basin. Combining data from six LBA (Large-scale Biosphere-Atmosphere Experiment in Amazonia) eddy covariance tower sites and a TR-driven physically based modeling approach, we identified the canopy-scale feedback-response mechanism between gC, ?ET, and atmospheric vapor pressure deficit (DA), without using any leaf-scale empirical parameterizations for the modeling. The TR-based model shows minor biophysical control on ?ET during the wet (rainy) seasons where ?ET becomes predominantly radiation driven and net radiation (RN) determines 75 to 80?% of the variances of ?ET. However, biophysical control on ?ET is dramatically increased during the dry seasons, and particularly the 2005 drought year, explaining 50 to 65?% of the variances of ?ET, and indicates ?ET to be substantially soil moisture driven during the rainfall deficit phase. Despite substantial differences in gA between forests and pastures, very similar canopy?atmosphere "coupling" was found in these two biomes due to soil moisture-induced decrease in gC in the pasture. This revealed the pragmatic aspect of the TR-driven model behavior that exhibits a high sensitivity of gC to per unit change in wetness as opposed to gA that is marginally sensitive to surface wetness variability. Our results reveal the occurrence of a significant hysteresis between ?ET and gC during the dry season for the pasture sites, which is attributed to relatively low soil water availability as compared to the rainforests, likely due to differences in rooting depth between the two systems. Evaporation was significantly influenced by gA for all the PFTs and across all wetness conditions. Our analytical framework logically captures the responses of gC and gA to changes in atmospheric radiation, DA, and surface radiometric temperature, and thus appears to be promising for the improvement of existing land?surface?atmosphere exchange parameterizations across a range of spatial scales. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-11-04T11:11:11Z 2016-11-04T11:11:11Z 2016-11-04 2016 2017-03-03T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Hydrology and Earth System Science Discussions, 27 Jan. 2016. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1055915 10.5194/hess-2015-552 |
identifier_str_mv |
Hydrology and Earth System Science Discussions, 27 Jan. 2016. 10.5194/hess-2015-552 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1055915 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503427604086784 |