A precipitation mechanism analysis method based on regional climate data

Abstract

The application relates to the field of climate change and meteorological data processing, and discloses a precipitation mechanism analysis method based on regional climate data, which comprises the following steps: selecting a target research region, collecting precipitation index and climate driving factor data; based on an ensemble empirical mode decomposition method, decomposing a time sequence into components of different time scales; performing power spectrum analysis on the decomposed data to identify periodic characteristics; using continuous wavelet transform, cross wavelet transform and wavelet coherence analysis to study the correlation and phase relationship of the precipitation index and the climate driving factor in time-frequency space; quantifying the contribution of the driving factor to the precipitation index to determine the main and secondary driving factors; and combining the analysis results of multiple time scales to clarify the main climate driving mechanism of precipitation change. The application can comprehensively analyze the complex driving process of regional precipitation change, and provide scientific basis and technical support for climate change research, water resource management and adaptive strategies.

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