Anthropogenic climate change is a global trend, hitherto incontrovertible, causing immense social and economic damage. Although the this is evident at the global level, at the local level, there is still debate about the most appropriate analyses to support this fact. This debate is particularly relevant in developing countries, such as Colombia, where there is a significant lack of data at the local level that require analysis and interpretation. Consequently, studies are often superficially conducted to support climate change theory at the local level. However, such studies are then used to design hydraulic infrastructure, with potential catastrophic errors for human and environmental health. In this study, we sought evidence of climate change through an analysis of a series of data on temperature (maximum, mean and minimum), as well as total annual and maximum rainfall in 24 h registered at the Rafael Nuñez Airport station in the city of Cartagena, Colombia, from 1941 to 2015. The hypotheses of homogeneity, trend, stationarity and non-stationarity were analyzed. Problems of non-homogeneity and the presence of periodicity in the analyzed series were found, showing a trend and apparent non-stationarity in the original series. This could be associated with the effects of climate change. In this case, no correlation was found between temperatures and rainfall. Spectral analysis was performed for all series, and residual series were generated by extracting the harmonics of greatest significance. It was found that the series data generated from the third harmonic are generally stationary and without trend. Therefore, the trend and non-stationarity of the original series are due to problems of non-homogeneity and periodicity in the series. In the results of the stationarity test conducted according to the Phillips–Perron criterion, all series were non-stationary. For the two additional criteria of stationarity tests, 40% were shown to be stationary, and 60% were non-stationary. Specifically, non-homogeneity problems and apparent trends associated with climate change could have negative implications for the design of drainage systems.

The present work analyses a time series of maximum intensities for sub-daily durations of 10 min, 20 min, up to 100 min, and their relationship with the maximum rainfall observations in twenty-four hours (P24), the total annual rainfall (PT), and the maximum, average, and minimum temperatures, using the records of the Rafael Núñez Airport station in the city of Cartagena de Indias, recorded from 1970 to 2015. The series of maximum intensities were obtained from the pluviographic records existing in the station. The analysis seeks to find evidence of climate change and climate variability. The series were tested for homogeneity, stationarity, trend, and periodicity. The degree of cross-correlation and temporal correlation between the different series were determined. Temperature series show homogeneity problems, while no correlation was found between the temperatures and the maximum sub-daily intensities, with the maximum rainfall observations in twenty-four hours and the total annual rainfall. The presence of marked periodicities was found in all the series, with a greater signal in the maximum. No significant trends were found in any of the series. Intensities and maximum rainfall observations in 24 h were found. In general, the series are stationary and do not show trends. Non-homogeneities in the series and the presence of periodicities can lead to an interpretation of non-stationarity and trend.