Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1016658
Unidade da Embrapa/Coleção:: Embrapa Meio Ambiente - Artigo em anais de congresso (ALICE)
Data do documento: 28-Mai-2015
Tipo do Material: Artigo em anais de congresso (ALICE)
Autoria: MAIA, A. de H. N.
MEINKE, H.
LENNOX, S.
STONE, R.
Informaçães Adicionais: ALINE DE HOLANDA NUNES MAIA, CNPMA; H. MEINKE, Queensland Department of Primary lndustries and Fisheries, P.O. Box 102, Toowoomba, Australia, Qld 4350.; S. LENNOX, Queensland Department of Primary lndustries and Fisheries, P.O. Box 102, Toowoomba, Australia, Qld 4350.; R. STONE, Queensland Department of Primary lndustries and Fisheries, P.O. Box 102, Toowoomba, Australia, Qld 4350.
Título: P-Values as analytical tools in probabilistic forecast assessments.
Edição: 2005
Fonte/Imprenta: In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 14., 2005, Campinas/SP. Agrometeorologia, agroclimatologia e agronegócio. Campinas/SP: CBAgro, 2005. p. 1-2.
Idioma: en
Palavras-chave: Avaliação da previsão do tempo
Conteúdo: Much has been written about ?quality? of probabilistic forecasts. Often, providers and users of such forecasts are unclear about what ?quality? entails, leading to confusion and misinformation. Here we try to provide some guidance and suggest a general approach to communicate aspects of probabilistic forecast quality related to discriminatory ability (DA) and skill (S). In our opinion, these two components of forecast quality should be considered independently. DA represents the additional knowledge about future states arising from some forecast system (FS) over and above the total variability of the prognostic variable while S quantifies changes in the agreement between observed and predicted values when using a specific FS instead of a FS based on ?climatology? only. The major concerns are: generally poor distinction between DA and S; inappropriate use of significance testing to quantify DA and use of DA and S measures that do not account for the series lengths and/or number of classes of the FS. To address all of these issues, we propose the use of p-values derived from non-parametric tests as direct measures of DA and S. We illustrate this approach by quantifying DA and S of the Southern Oscillation Index applied to forecasting rainfall across Australia.
NAL Thesaurus: Weather forecasting
Probability analysis
Ano de Publicação: 2005
Aparece nas coleções:Artigo em anais de congresso (CNPMA)

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