Wavelet Analysis for Studying Rainfall Variability and Regionalizing Data: An Applied Study of the Moulouya Watershed in Morocco

This study analyzes the spatiotemporal variability of precipitation at scale Moulouya watershed in eastern Morocco, which is very vulnerable to increasing water shortage. For this purpose, we opted for wavelet transformation, a method based on spectral analysis data allows periodic components rainfall time series change with time. The results obtained from work show power across five frequency ranges variability: 1 2 years, 4 8 16 and 32 years. duration significant these frequencies generally not homogeneous varies station station. most widespread over entire area was found 4- 8-year range. mode can last up 27 consecutive In basin, observed around period between 1990 2010. Oscillations years appear only different periods. 16- 32-year appears 15 stations extends 1983 2008. At level, signal strength weak compared other higher-frequency modes variability. On hand, 1- 2-year range appeared be continuous some intermittent others. allowed us regionalize our basin into two clusters that differ regime.