Abstract
Climate change is a long-term transformation of climate patterns, which can be natural or anthropogenic. Signs of climate change can manifest themselves in different ways: through the occurrence of extreme events, rising ocean levels, melting glaciers, among others. Negative impacts are produced by climate change and are one of humanity's biggest concerns, since its effects reach the entire planet with different consequences. Considering the need for actions aimed at contributing to the process of mitigating climate change, the importance of knowing changes in regional climate patterns is emphasized. This study aims to analyze changes in precipitation patterns over time in the southern region of Brazil, including variability, trends, anomalies, droughts and excess rainfall. Daily precipitation data from 1961 to 2020 were used, collected at 15 meteorological stations in the region. Various statistical analyzes were carried out, such as averages, maximum and minimum values, seasonal and annual anomalies, frequency distribution, Mann-Kendall trend tests and the Normalized Precipitation Index (SPI). The results indicate that climate change trends are positive in terms of increasing rainfall volumes, altering rainfall dispersion patterns (volume). In other words, rainfall is more irregular in terms of distribution throughout the seasons. The big highlight was Florianópolis -SC, which during the summer had the highest volume of rain among the meteorological stations studied.
Publisher
Revista Brasileira de Geografia Fisica
Reference91 articles.
1. Alves, W. S., Cabral, J. B. P; Nascimento, D. T. F. 2002. A Participação do El Niño Oscilação Sul (enos) e da Oscilação Decadal do Pacífico (odp) nas chuvas em Goiás e no Distrito Federal. raega-o espaço geográfico em análise, 55, 176-200.
2. Almeida, L.P., Pampuch, L.A., Drumond, A.R.M., Gozzo, L.F., Negri, R.G 2023. Análise multivariada do SPI no Estado de São Paulo. Revista Brasileira de Climatologia. 32, 19 (fev. 2023),336–362. https://doi.org/10.55761/abclima.v32i19.16309
3. Azevedo, S.C.D., Cardim, G.P., Puga, F., Singh, R.P., Silva, E.A.D., 2018. Analysis of the 2012-2016 drought in the northeast Brazil and its impacts on the Sobradinho water reservoir. Remote Sensing Letters 9 (5), 438–446. https://doi.org/10.1080/2150704X.2018.1437290
4. Correia Filho, W.L.F., Santos, T.V., Diogo, A.M., Amorim, R.F.C., 2018. Diagnostico da
5. Precipitaçao e EVI em Dois Eventos de Seca no Nordeste do Brasil. Revista do