San, MuratNacar, Sinan2024-10-252024-10-252023-07-030033-4553https://doi.org/10.1007/s00024-023-03319-6https://hdl.handle.net/11452/47069Trend analysis benefits collecting and analyzing reliable data in climate change studies. In this context, long-term temperature and precipitation data analysis, two variables sensitive to climate change, is essential. This study aims to holistically and partially determine the annual trends of precipitation and temperature time series for 1970-2019 at nine selected stations in the Susurluk Basin, Turkey. The innovative trend significance test (ITST), innovative crossing trend analysis (ICTA) method, and Mann-Kendall (MK) test were used to determine holistic trends. Also, partial trends were determined using successive average methodology (SAM). For the precipitation variable, while an increasing trend was determined for the ITST, there was mostly no trend for the other methods. While a strong increasing trend was detected for the temperature according to the ITST and MK methods, no trend was observed in any station according to the ICTA method. According to the SAM results, the maximum trend durations for the peak and trough change points were 4.9 (10.3) and 5.3 (8.4) years, respectively, for precipitation (temperature). The strong temperature trends in the basin will likely continue, requiring precautions against extreme events such as drought.eninfo:eu-repo/semantics/closedAccessRainfallIdentificationMethodologyQualityRegionBasinPrecipitationTemperatureTrend analysisInnovative trend significance testInnovative crossing trend analysisSuccessive average methodologySusurluk basinTurkeyScience & technologyPhysical sciencesGeochemistry & geophysicsArticle00102137160000231313156180810.1007/s00024-023-03319-6