Satellite-Based Characterization of Warm-Season Mesoscale Convective Systems over Southeastern Mainland China in Response to the Western Pacific Subtropical High

Subtropical highs are large-scale dominant weather systems with significant impacts on regional climate and weather patterns. However, their cross-scale influence on mesoscale convective systems (MCSs) remains insufficiently understood. This study investigates how satellite-observed MCS characteristics vary with the Western Pacific Subtropical High (WPSH) over southeastern mainland China (SEMC), where the WPSH exerts a most frequent influence within the Asian continent. In 7-yr warm seasons, 725 WPSH days were identified and objectively classified into distinct weather types categorized as either WPSH-periphery and WPSH-center patterns, based on SEMC’s location relative to the WPSH. Although MCSs are generally less frequent in the WPSH-center patterns than in the WPSH-periphery ones, their occurrence remains noteworthy near regional hotspots. Across all patterns, MCS occurrence consistently exhibits a diurnal peak in late afternoon and early evening. The WPSH-center patterns show a larger diurnal amplitude with more intensive MCS activity around this peak period. MCSs in the WPSH-center patterns tend to have shorter lifetimes, fewer merging/splitting processes, and a greater tendency to form locally over SEMC in the afternoon. Despite varying movement directions and orientations, MCSs across different patterns generally move along their orientation to facilitate the MCS “training” effect, especially in the WPSH-center patterns due to slower moving speeds and stronger intensities. Analysis on atmospheric conditions suggests that MCS occurrence in the WPSH-periphery patterns is more closely linked to synoptic disturbances, including enhanced moisture transport via low-level jet streams and mid-level upward motion. The convective parameters including CAPE, total column water, and K index effectively differentiate MCS-active days from MCS-inactive days for each WPSH pattern.