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Discrete Wavelet Transform Approach to Identify Influential Time Scales in Temperature Trends over the Cauvery River Basin, India

Author(s): Malluraj C. Hitni; Ganesh D. Kale

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Keywords: Cauvery River Basin Climate Change DWT Periodicity Temperature Trend

Abstract: This study investigates the influential periodicities affecting maximum temperature (Tmax) and minimum temperature (Tmin) trends over the Cauvery River Basin (CRB) in India for the period 1970 to 2022. The discrete wavelet transform (DWT) technique was employed to decompose the time series into various scales to identify the time scales affecting temperature trends mostly corresponding to annual, monthly, and seasonal time scales. Results indicated that the 2-year periodicity significantly influenced both Tmax and Tmin trends on annual and seasonal scales, while the 8-month periodicity is found to be dominant for monthly trends. This periodicity analysis, supported by the Sequential Mann-Kendall (SQMK) test, highlights key periodicities essential for regional water resource management and climate adaptation strategies. The combined use of DWT and SQMK provided a robust methodology to assess periodicities in climate data, applicable across varied regions for comprehensive climate change studies. This approach is beneficial for hydrologists and environmental engineers in predicting future climate impacts and water resource management.

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Year: 2025

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