Spatiotemporal Characteristics of Mesoscale Convective Systems Over East Asian Monsoon Region Simulated by a Convection‐Permitting Model

Abstract Mesoscale convective system (MCS) is a major contributor to extreme precipitation over East Asia, but their long‐term trends remain insufficiently understood. Here, we assess the capability of the weather research and forecasting model, configured as a convection‐permitting model (CPM) to simulate MCS characteristics and 23‐year trends over East Asian monsoon region from 2001 to 2023 (June–September) by comparing with high‐resolution observational data. We employed an MCS tracking method PyFLEXTRKR, which can identify and track MCSs based on precipitation and brightness temperature. The CPM effectively captures key MCS characteristics, including lifetime, lifecycle total precipitation amount, and movement speed. However, it also has systematic biases: the model underestimates MCS size and meso‐ α MCS frequency while overestimating meso‐ β MCS occurrence and both mean and maximum…