<div dir="ltr">Caros redistas, <br><br>Seguem informações sobre o próximo seminário do PIPGEs UFSCar/USP dia 29/9, sexta-feira às 14h.<br><br>A continuous spatio-temporal approach to estimate climate change<br><br>Marcio Poletti Laurini (FEARP/USP)<br><br>
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 and rainfall 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 modeling the complex patterns of
dependence observed in climatic data. <br> 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 and
rainfall. The results show the presence of a tendency for temperature
increases, indicating changes in the climatic patterns in this region.<br><br></div>