Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values.
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
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/994232 |
Resumo: | This study reveals the spatial and temporal patterns of uncertainty variability for a highly parameterized agro-LSM and calls for more systematic uncertainty analyses of such models. |
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spelling |
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values.ModelagemModelosCana-de-açúcarSugarcaneModelsThis study reveals the spatial and temporal patterns of uncertainty variability for a highly parameterized agro-LSM and calls for more systematic uncertainty analyses of such models.LSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; CSIRO; FABIO RICARDO MARIN, CNPTIA; Cirad.VALADE, A.CIAIS, P.VUICHARD, N.VIOVY, N.CAUBEL, A.HUTH, N.MARIN, F. R.MARTINÉ, J.-F.2014-09-04T11:11:11Z2014-09-04T11:11:11Z2014-09-0420142014-09-04T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGeoscientific Model Development, Gottingen, v. 7, p. 1225-1245, 2014.http://www.alice.cnptia.embrapa.br/alice/handle/doc/99423210.5194/gmdd-7-1-2014enginfo: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:EMBRAPA2017-08-16T00:51:20Zoai:www.alice.cnptia.embrapa.br:doc/994232Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T00:51:20falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T00:51:20Repositório 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 |
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values. |
title |
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values. |
spellingShingle |
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values. VALADE, A. Modelagem Modelos Cana-de-açúcar Sugarcane Models |
title_short |
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values. |
title_full |
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values. |
title_fullStr |
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values. |
title_full_unstemmed |
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values. |
title_sort |
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values. |
author |
VALADE, A. |
author_facet |
VALADE, A. CIAIS, P. VUICHARD, N. VIOVY, N. CAUBEL, A. HUTH, N. MARIN, F. R. MARTINÉ, J.-F. |
author_role |
author |
author2 |
CIAIS, P. VUICHARD, N. VIOVY, N. CAUBEL, A. HUTH, N. MARIN, F. R. MARTINÉ, J.-F. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
LSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; CSIRO; FABIO RICARDO MARIN, CNPTIA; Cirad. |
dc.contributor.author.fl_str_mv |
VALADE, A. CIAIS, P. VUICHARD, N. VIOVY, N. CAUBEL, A. HUTH, N. MARIN, F. R. MARTINÉ, J.-F. |
dc.subject.por.fl_str_mv |
Modelagem Modelos Cana-de-açúcar Sugarcane Models |
topic |
Modelagem Modelos Cana-de-açúcar Sugarcane Models |
description |
This study reveals the spatial and temporal patterns of uncertainty variability for a highly parameterized agro-LSM and calls for more systematic uncertainty analyses of such models. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-09-04T11:11:11Z 2014-09-04T11:11:11Z 2014-09-04 2014 2014-09-04T11:11:11Z |
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 |
Geoscientific Model Development, Gottingen, v. 7, p. 1225-1245, 2014. http://www.alice.cnptia.embrapa.br/alice/handle/doc/994232 10.5194/gmdd-7-1-2014 |
identifier_str_mv |
Geoscientific Model Development, Gottingen, v. 7, p. 1225-1245, 2014. 10.5194/gmdd-7-1-2014 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/994232 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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) |
collection |
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 |
_version_ |
1794503393686847488 |