Trend analysis in monthly rainfall and temperature data in Curitiba/PR

Abstract

Climate information is important for the development of various activities in a society. Climate influences structures and technologies, habits, health, agricultural activity and economic development. All these activities need to adapt to temperature oscillations and extremes, precipitation and humidity levels. This work aims to contribute to the studies of climate trends observed in recent years. Temperature and precipitation data are analyzed, discussed and correlated. The database studied was provided by INMET and refers to a conventional weather station installed in Curitiba-PR. The data comprise period, between 2013 and 2019, and can add information to previous work related. Analysis of the monthly maximum and minimum temperature series, as well as monthly maximum and minimum averages and monthly accumulated precipitation were done for the entire period. For each of the temperature series, a regression line through least squares method was established. The distribution of monthly totals precipitation over the entire period was discussed. Temperature and precipitation were also correlated with each other for the time interval under study. A preliminary statistical analysis of the information was performed. It was observed that for maximum and minimum temperatures, there has been an upward trend in the Years under study. Also, a slight downward trend in total precipitation was observed, although it may be associated with natural precipitation variations. The typical behavior of places geographically similar to Curitiba was observed when looking for a relation between temperature and precipitation; humid summers (dec to feb) and dry winters (jun to aug).