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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A spatio-temporal approach to estimate patterns of climate change

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Author(s):
Laurini, M. P.
Total Authors: 1
Document type: Journal article
Source: ENVIRONMETRICS; v. 30, n. 1 FEB 2019.
Web of Science Citations: 1
Abstract

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)

FAPESP's process: 18/04654-9 - Time series, wavelets and high dimensional data
Grantee:Pedro Alberto Morettin
Support Opportunities: Research Projects - Thematic Grants