Overview of the large-scale biosphere–atmosphere experiment in Amazonia data model intercomparison project (LBA-DMIP)

Detalhes bibliográficos
Autor(a) principal: Costa, Marcos Heil
Data de Publicação: 2013
Outros Autores: Borak, Jordan S., Gonçalves, Luis Gustavo Gonçalves de, Saleska, Scott R., Baker, Ian, Restrepo-Coupe, Natalia, Muza, Michel Nobre, Poulter, Benjamin, Verbeeck, Hans, Fisher, Joshua B., Arain, M. Altaf, Arkin, Phillip, Cestaro, Bruno P., Christoffersen, Bradley, Galbraith, David, Guan, Xiaodan, Hurk, Bart J. J. M. van den, et al.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://dx.doi.org/10.1016/j.agrformet.2013.04.030
http://www.locus.ufv.br/handle/123456789/22330
Resumo: A fundamental question connecting terrestrial ecology and global climate change is the sensitivity of key terrestrial biomes to climatic variability and change. The Amazon region is such a key biome: it contains unparalleled biological diversity, a globally significant store of organic carbon, and it is a potent engine driving global cycles of water and energy. The importance of understanding how land surface dynamics of the Amazon region respond to climatic variability and change is widely appreciated, but despite significant recent advances, large gaps in our understanding remain. Understanding of energy and carbon exchange between terrestrial ecosystems and the atmosphere can be improved through direct observations and experiments, as well as through modeling activities. Land surface/ecosystem models have become important tools for extrapolating local observations and understanding to much larger terrestrial regions. They are also valuable tools to test hypothesis on ecosystem functioning. Funded by NASA under the auspices of the LBA (the Large-Scale Biosphere–Atmosphere Experiment in Amazonia), the LBA Data Model Intercomparison Project (LBA-DMIP) uses a comprehensive data set from an observational network of flux towers across the Amazon, and an ecosystem modeling community engaged in ongoing studies using a suite of different land surface and terrestrial ecosystem models to understand Amazon forest function. Here an overview of this project is presented accompanied by a description of the measurement sites, data, models and protocol.
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spelling Costa, Marcos HeilBorak, Jordan S.Gonçalves, Luis Gustavo Gonçalves deSaleska, Scott R.Baker, IanRestrepo-Coupe, NataliaMuza, Michel NobrePoulter, BenjaminVerbeeck, HansFisher, Joshua B.Arain, M. AltafArkin, PhillipCestaro, Bruno P.Christoffersen, BradleyGalbraith, DavidGuan, XiaodanHurk, Bart J. J. M. van denet al.2018-10-18T11:04:16Z2018-10-18T11:04:16Z2013-12-1501681923http://dx.doi.org/10.1016/j.agrformet.2013.04.030http://www.locus.ufv.br/handle/123456789/22330A fundamental question connecting terrestrial ecology and global climate change is the sensitivity of key terrestrial biomes to climatic variability and change. The Amazon region is such a key biome: it contains unparalleled biological diversity, a globally significant store of organic carbon, and it is a potent engine driving global cycles of water and energy. The importance of understanding how land surface dynamics of the Amazon region respond to climatic variability and change is widely appreciated, but despite significant recent advances, large gaps in our understanding remain. Understanding of energy and carbon exchange between terrestrial ecosystems and the atmosphere can be improved through direct observations and experiments, as well as through modeling activities. Land surface/ecosystem models have become important tools for extrapolating local observations and understanding to much larger terrestrial regions. They are also valuable tools to test hypothesis on ecosystem functioning. Funded by NASA under the auspices of the LBA (the Large-Scale Biosphere–Atmosphere Experiment in Amazonia), the LBA Data Model Intercomparison Project (LBA-DMIP) uses a comprehensive data set from an observational network of flux towers across the Amazon, and an ecosystem modeling community engaged in ongoing studies using a suite of different land surface and terrestrial ecosystem models to understand Amazon forest function. Here an overview of this project is presented accompanied by a description of the measurement sites, data, models and protocol.engAgricultural and Forest Meteorologyv. 182– 183, p. 111- 127, dez. 2013Elsevier B.V.info:eu-repo/semantics/openAccessLand surface modelingEnergy, water and carbon budgetAmazoniaModel intercomparisonOverview of the large-scale biosphere–atmosphere experiment in Amazonia data model intercomparison project (LBA-DMIP)info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALartigo.pdfartigo.pdftexto completoapplication/pdf2278860https://locus.ufv.br//bitstream/123456789/22330/1/artigo.pdff0a10665ba6ee6c8eee57cfc709f584aMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/22330/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52123456789/223302018-10-18 08:12:05.969oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452018-10-18T11:12:05LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.en.fl_str_mv Overview of the large-scale biosphere–atmosphere experiment in Amazonia data model intercomparison project (LBA-DMIP)
title Overview of the large-scale biosphere–atmosphere experiment in Amazonia data model intercomparison project (LBA-DMIP)
spellingShingle Overview of the large-scale biosphere–atmosphere experiment in Amazonia data model intercomparison project (LBA-DMIP)
Costa, Marcos Heil
Land surface modeling
Energy, water and carbon budget
Amazonia
Model intercomparison
title_short Overview of the large-scale biosphere–atmosphere experiment in Amazonia data model intercomparison project (LBA-DMIP)
title_full Overview of the large-scale biosphere–atmosphere experiment in Amazonia data model intercomparison project (LBA-DMIP)
title_fullStr Overview of the large-scale biosphere–atmosphere experiment in Amazonia data model intercomparison project (LBA-DMIP)
title_full_unstemmed Overview of the large-scale biosphere–atmosphere experiment in Amazonia data model intercomparison project (LBA-DMIP)
title_sort Overview of the large-scale biosphere–atmosphere experiment in Amazonia data model intercomparison project (LBA-DMIP)
author Costa, Marcos Heil
author_facet Costa, Marcos Heil
Borak, Jordan S.
Gonçalves, Luis Gustavo Gonçalves de
Saleska, Scott R.
Baker, Ian
Restrepo-Coupe, Natalia
Muza, Michel Nobre
Poulter, Benjamin
Verbeeck, Hans
Fisher, Joshua B.
Arain, M. Altaf
Arkin, Phillip
Cestaro, Bruno P.
Christoffersen, Bradley
Galbraith, David
Guan, Xiaodan
Hurk, Bart J. J. M. van den
et al.
author_role author
author2 Borak, Jordan S.
Gonçalves, Luis Gustavo Gonçalves de
Saleska, Scott R.
Baker, Ian
Restrepo-Coupe, Natalia
Muza, Michel Nobre
Poulter, Benjamin
Verbeeck, Hans
Fisher, Joshua B.
Arain, M. Altaf
Arkin, Phillip
Cestaro, Bruno P.
Christoffersen, Bradley
Galbraith, David
Guan, Xiaodan
Hurk, Bart J. J. M. van den
et al.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Costa, Marcos Heil
Borak, Jordan S.
Gonçalves, Luis Gustavo Gonçalves de
Saleska, Scott R.
Baker, Ian
Restrepo-Coupe, Natalia
Muza, Michel Nobre
Poulter, Benjamin
Verbeeck, Hans
Fisher, Joshua B.
Arain, M. Altaf
Arkin, Phillip
Cestaro, Bruno P.
Christoffersen, Bradley
Galbraith, David
Guan, Xiaodan
Hurk, Bart J. J. M. van den
et al.
dc.subject.pt-BR.fl_str_mv Land surface modeling
Energy, water and carbon budget
Amazonia
Model intercomparison
topic Land surface modeling
Energy, water and carbon budget
Amazonia
Model intercomparison
description A fundamental question connecting terrestrial ecology and global climate change is the sensitivity of key terrestrial biomes to climatic variability and change. The Amazon region is such a key biome: it contains unparalleled biological diversity, a globally significant store of organic carbon, and it is a potent engine driving global cycles of water and energy. The importance of understanding how land surface dynamics of the Amazon region respond to climatic variability and change is widely appreciated, but despite significant recent advances, large gaps in our understanding remain. Understanding of energy and carbon exchange between terrestrial ecosystems and the atmosphere can be improved through direct observations and experiments, as well as through modeling activities. Land surface/ecosystem models have become important tools for extrapolating local observations and understanding to much larger terrestrial regions. They are also valuable tools to test hypothesis on ecosystem functioning. Funded by NASA under the auspices of the LBA (the Large-Scale Biosphere–Atmosphere Experiment in Amazonia), the LBA Data Model Intercomparison Project (LBA-DMIP) uses a comprehensive data set from an observational network of flux towers across the Amazon, and an ecosystem modeling community engaged in ongoing studies using a suite of different land surface and terrestrial ecosystem models to understand Amazon forest function. Here an overview of this project is presented accompanied by a description of the measurement sites, data, models and protocol.
publishDate 2013
dc.date.issued.fl_str_mv 2013-12-15
dc.date.accessioned.fl_str_mv 2018-10-18T11:04:16Z
dc.date.available.fl_str_mv 2018-10-18T11:04:16Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.agrformet.2013.04.030
http://www.locus.ufv.br/handle/123456789/22330
dc.identifier.issn.pt-BR.fl_str_mv 01681923
identifier_str_mv 01681923
url http://dx.doi.org/10.1016/j.agrformet.2013.04.030
http://www.locus.ufv.br/handle/123456789/22330
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartofseries.pt-BR.fl_str_mv v. 182– 183, p. 111- 127, dez. 2013
dc.rights.driver.fl_str_mv Elsevier B.V.
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Elsevier B.V.
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dc.publisher.none.fl_str_mv Agricultural and Forest Meteorology
publisher.none.fl_str_mv Agricultural and Forest Meteorology
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