Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values.

Vista sencilla de ítem
dc.contributorLSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; LSCE, CEA-CNRS; CSIRO; FABIO RICARDO MARIN, CNPTIA; Cirad.
dc.creatorVALADE, A.
dc.creatorCIAIS, P.
dc.creatorVUICHARD, N.
dc.creatorVIOVY, N.
dc.creatorCAUBEL, A.
dc.creatorHUTH, N.
dc.creatorMARIN, F. R.
dc.creatorMARTINÉ, J.-F.
dc.date2014-09-04T11:11:11Z
dc.date2014-09-04T11:11:11Z
dc.date2014-09-04
dc.date2014
dc.date2014-09-04T11:11:11Z
dc.date.accessioned2026-07-07T04:13:41Z
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.
dc.identifierGeoscientific Model Development, Gottingen, v. 7, p. 1225-1245, 2014.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/994232
dc.identifier10.5194/gmdd-7-1-2014
dc.identifier.urihttp://hdl.handle.net/123456789/454651
dc.languageeng
dc.rightsopenAccess
dc.subjectModelagem
dc.subjectModelos
dc.subjectCana-de-açúcar
dc.subjectSugarcane
dc.subjectModels
dc.titleModeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values.
dc.typeArtigo de periódico

Archivos

Colecciones

Embrapa Agricultura Digital (CNPTIA)