Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

A spatio-temporal approach to estimate patterns of climate change

Texto completo
Autor(es):
Laurini, M. P.
Número total de Autores: 1
Tipo de documento: Artigo Científico
Fonte: ENVIRONMETRICS; v. 30, n. 1 FEB 2019.
Citações Web of Science: 1
Resumo

We introduce a method for decomposition of trend, cycle, and seasonal components in spatio-temporal models and apply it to investigate the existence of climate changes in temperature series. The method incorporates critical features in the analysis of climatic problems-the importance of spatial heterogeneity, information from a large number of weather stations, and the presence of missing data. The spatial component is based on continuous projections of spatial covariance functions, allowing the modeling of complex patterns of dependence observed in climatic data. We apply this method to study climate changes in the northeast region of Brazil, characterized by a great wealth of climates and large amplitudes of temperatures. The results show the presence of a tendency for temperature increases, indicating changes in the climatic patterns in this region. (AU)

Processo FAPESP: 18/04654-9 - Séries temporais, ondaletas e dados de alta dimensão
Beneficiário:Pedro Alberto Morettin
Linha de fomento: Auxílio à Pesquisa - Temático