Source Code for: An Image Recognition Framework for Detecting Large-Scale Persistent Extreme Precipitation Events (LPEPEs)

This dataset contains the source code for the Image Recognition Algorithm (IRA) developed in the manuscript "An Image Recognition Framework for Detecting Large-Scale Persistent Extreme Precipitation Events (LPEPEs) and Its Revelation of Southward Displacement and Dynamic Mechanisms".The algorithm utilizes a connected-component labeling technique from image processing to achieve rapid and accurate automatic detection of Large-scale Persistent Extreme Precipitation Events (LPEPEs).

Compared to the Traditional Iterative Algorithm (TIA), the IRA improves computational efficiency by two orders of magnitude (~100x) when processing high-resolution gridded precipitation data while maintaining identical detection accuracy.The code is implemented in Python, with its core functionality leveraging the scipy.ndimage.label library. This repository includes the core algorithm scripts, sample data, and comprehensive documentation.