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dc.contributor.authorMARIN, F. R.pt_BR
dc.contributor.authorCOSTA, L. G.pt_BR
dc.contributor.authorNASSIF, D. S. P.pt_BR
dc.contributor.authorPINTO, H. M. S.pt_BR
dc.contributor.authorMEDEIROS, S. R. R.pt_BR
dc.date.accessioned2015-10-31T04:29:36Z-
dc.date.available2015-10-31T04:29:36Z-
dc.date.created2014-11-25pt_BR
dc.date.issued2013pt_BR
dc.identifier.citationIn: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 18.; REUNIÃO LATINO-AMERICANA DE AGROMETEOROLOGIA, 7., 2013, Belém, PA. Cenários de mudanças climáticas e a sustentabilidade socioambiental e do agronegócio na Amazônia: anais. [Belém, PA: UFPA], 2013.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1000868pt_BR
dc.descriptionABSTRACT: Crop models are written as sets of different equations which are solved numerically. They require time series of local environmental drivers like weather conditions and constant parameters that determine sensitivity of processes to both crop state and environment. There is a hamper on the model upscaling from point to region, and the quantification of model output uncertainity at the regional scale. This paper aimed to perform a conceptual analysis of the Brazilian climate zones based on long-term uniform weather data series (air temperature, soil water deficit, rainfall and global solar radiation), were each climatic variable were spatially organized and the maps for each one were generated by a kriging interpolation. The proposed zonation seems coherent with the agroecologycal conditions observed around Brazil, and based on the biomes, there is an agreement with the main Brazilian potential vegetation types and even with the cropping systems spatial distributions. The final map might be used for ?bottom-up? upscaling approach in order to extrapolate the location specific data to a broader scale. Further work should focus in the inclusion of soil data to reach a robust zone map to support crop model outputs up-scaling, as well as in the zones validation.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectModelagempt_BR
dc.subjectInterpolaçãopt_BR
dc.subjectInterpolationpt_BR
dc.subjectAgrometeorologiapt_BR
dc.titleCharacterizing Brazilian climate zones for up-scaling the simulated crop yield potential.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2020-01-22T11:11:11Zpt_BR
dc.subject.nalthesaurusModelspt_BR
dc.subject.nalthesaurusAgrometeorologypt_BR
dc.description.notesCBA 2013, RLAA 2013.pt_BR
dc.format.extent2Não paginado.pt_BR
riaa.ainfo.id1000868pt_BR
riaa.ainfo.lastupdate2020-01-22 -02:00:00pt_BR
dc.contributor.institutionFABIO RICARDO MARIN, CNPTIA; LEANDRO G. COSTA, Esalq/USP; DANIEL S. P. NASSIF, Esalq/USP; HELENA, M. S. PINTO, UFSCar; SÉRGIO R. R. MEDEIROS.pt_BR
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