@article{Araujo Rodrigues_Moreira Siqueira_Leitzke Caldeira Beskow_Beskow_Becker Nunes_2023, title={Rainfall trend and variability in Rio Grande do Sul, Brazil}, volume={32}, url={https://ojs.ufgd.edu.br/index.php/rbclima/article/view/16179}, DOI={10.55761/abclima.v32i19.16179}, abstractNote={<p>Understanding the behavior of precipitation in face of climate change is crucial for mitigating its effects and improving the management of natural resources. Thus, this study investigated the temporal trends and variability of rainfall in the state of Rio Grande do Sul, Brazil. 271 series of Annual Total Rainfall (ATR), Monthly Total Rainfall (MTR), and Annual Maximum Daily Rainfall (AMDR) were analyzed (1912 to 2018). Mann-Kendall, Sen’s Slope, and Pettitt’s tests were employed for temporal trend analysis, and the Standardized Index of Rainfall Anomalies (SRAI) and the Precipitation Concentration Index (PCI) for variability analysis. A significant increasing trend of ATR was found in 42 series, and a decrease in 3 series. Pettit’s test showed the changing year in 30 of 45 ATR’s series. Regarding AMDR, an increasing trend was observed in 27 series and a decrease in 8, and the year of change was found in 18 of the 35 séries. The SRAI varied between -3.55 and 2.88, but in most years ART was “near normal”. The annual PCI showed that ART was uniformly distributed over the months in most years. In the North of RS spring has the best distribution of rainfall, while in the South, winter. MTR distribution is more irregular during the Autumn, and in Summer MTR is most irregular in the southwest mesoregion. Given the consequences of changes in rainfall, the importance of studies like this is highlighted for supporting the natural resources management, as the mitigation of socioeconomic and environmental impacts resulting from climate changes.</p>}, number={19}, journal={Revista Brasileira de Climatologia}, author={Araujo Rodrigues, Aryane and Moreira Siqueira, Tirzah and Leitzke Caldeira Beskow, Tamara and Beskow, Samuel and Becker Nunes, André}, year={2023}, month={jan.}, pages={177–207} }