Understanding the variability in extreme meteorological events due to climate change and anthropogenic activities is crucial to ensure sustainable development. In this paper, the variation in precipitation and temperature in the Upper Narmada Basin (UNB), a humid subtropical region of central India, during 1901–2002, was analyzed using the Mann-Kendall (MK) test with the Sen’s slope (SS) estimator and innovative trend analysis (ITA). As a result, a significant negative trend in the annual precipitation occurred at two stations (12.5%) in the UNB, whereas no well-defined significant seasonal trends were detected. Moreover, in the annual mean temperature, a significant increasing trend occurred in the basin, with the highest and lowest rates of 0.470 °C/10 year and 0.287 °C/10 year, respectively. The seasonal temperature exhibited a significant increasing trend in the spring and autumn seasons. The trends in the extreme values were investigated using the ITA method. Furthermore, a quantitative study was carried out to measure the suitability of the ITA by comparing it with nonparametric methods (the MK test and SS estimator). The results endorse the reliability of the ITA method and show strong agreement between the trends and statistics of the parametric (ITA) and nonparametric approaches. To visualize the extreme events in meteorological series, a discrete wavelet transform (DWT) was employed with the Daubechies (db3) mother wavelet. In addition, change points were detected using the sequential Mann-Kendall (SQMK) and cumulative sum (CUSUM) tests. Significant change points in the annual precipitation were detected at nine stations (56.25%) during 1955–1958, while only three stations (18.75%) exhibited the annual mean temperature during 1960. The findings of this study could provide support to understand the variability in the meteorological trend over the basin and can help with water resource planning in future development.

了解由于气候变化和人为活动引起的极端气象事件的变化对于确保可持续发展至关重要。本文使用Mann-Kendall（MK）检验和森氏斜率（SS）对印度中部亚热带湿润地区上纳尔默达盆地（UNB）在1901-2002年期间的降水和温度变化进行了分析。估算器和创新趋势分析（ITA）。结果，在UNB的两个站点，年降水量出现了显着的负趋势（12.5％），而没有发现明确的明显的季节性趋势。此外，在年平均温度中，流域发生了明显的上升趋势，最高和最低比率分别为0.470°C / 10年和0.287°C / 10年。在春季和秋季，季节温度显示出明显的上升趋势。使用ITA方法研究了极值的趋势。此外，还进行了定量研究，以通过与非参数方法（MK检验和SS估计量）进行比较来衡量ITA的适用性。结果证明了ITA方法的可靠性，并表明参数（ITA）和非参数方法的趋势和统计之间的一致性很强。为了可视化气象序列中的极端事件，将离散小波变换（DWT）与Daubechies（db3）母小波一起使用。此外，使用顺序Mann-Kendall（SQMK）和累积和（CUSUM）测试来检测更改点。在九个台站发现了年降水量的显着变化点（56。