English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Rainfall is a fundamentally important climatic element in the environmental sciences. It is therefore necessary to study and understand it, especially with the advent of "Global Warming," in which many researchers warn of increasing temperature and as a consequence of precipitation. This study used the technique of cluster analysis, a tool for multivariate analysis, to identify internally homogeneous groups in the precipitation time series from 1983 to 2010 (28 years). We used the Pearson correlation coefficient as a clustering function, and Ward's method to group and analyze the level of fusion to determine the final number of groups. Cluster analysis was applied to the entire series, and for this, the data were organized by days in matrices. The groups formed were compared with groups of years that the events of El Niño and La Niña occurred to see if these events had any influence on the climatology of the Taubaté region. The analysis of the groups revealed no evidence that the events of El Niño and La Niña influence the climate of Taubaté region

Análise do comportamento da precipitação em Taubaté - SP na escala de tempo diária em comparação com os eventos de El Niño e La Niña