Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/994232
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dc.contributor.authorVALADE, A.pt_BR
dc.contributor.authorCIAIS, P.pt_BR
dc.contributor.authorVUICHARD, N.pt_BR
dc.contributor.authorVIOVY, N.pt_BR
dc.contributor.authorCAUBEL, A.pt_BR
dc.contributor.authorHUTH, N.pt_BR
dc.contributor.authorMARIN, F. R.pt_BR
dc.contributor.authorMARTINÉ, J.-F.pt_BR
dc.date.accessioned2014-09-04T11:11:11Zpt_BR
dc.date.available2014-09-04T11:11:11Zpt_BR
dc.date.created2014-09-04pt_BR
dc.date.issued2014pt_BR
dc.identifier.citationGeoscientific Model Development, Gottingen, v. 7, p. 1225-1245, 2014.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/994232pt_BR
dc.descriptionThis 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.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectModelagempt_BR
dc.subjectModelospt_BR
dc.subjectCana-de-açúcarpt_BR
dc.titleModeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2014-09-04T11:11:11Zpt_BR
dc.subject.nalthesaurusSugarcanept_BR
dc.subject.nalthesaurusModelspt_BR
riaa.ainfo.id994232pt_BR
riaa.ainfo.lastupdate2014-09-04pt_BR
dc.identifier.doi10.5194/gmdd-7-1-2014pt_BR
dc.contributor.institutionLSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; CSIRO; FABIO RICARDO MARIN, CNPTIA; Cirad.pt_BR
Appears in Collections:Artigo em periódico indexado (CNPTIA)

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