Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin.

Detalhes bibliográficos
Autor(a) principal: MALLICK, K.
Data de Publicação: 2016
Outros Autores: 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.
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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spelling 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
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repository.mail.fl_str_mv cg-riaa@embrapa.br
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