Warm-season precipitation systems in China, influenced by monsoon circulations, diverse synoptic conditions, and complex topography, frequently generate heavy rainfall and severe convective weather, often resulting in devastating hydrometerological disasters. Traditional monitoring tools such as ground-based radars and geostationary satellites have inherent limitations in spatial coverage and in resolving internal precipitation structures. The advent of precipitation measurement satellites—TRMM (1997—2015), GPM (2014—present), and China's FY-3G (2023—present)—equipped with spaceborne precipitation radars, has revolutionized this field. These satellites provide long-term, high-quality 3D observations, enabling systematic analysis of precipitation system characteristics over nearly three decades. This review synthesizes recent research progress in China, summarizing advances in the characterization of precipitation systems using TRMM and GPM data. It focuses on identification methodologies, climatological characteristics, and the physical linkages between 3D structures and severe weather. The core approach involves objective identification using connected-component analysis of radar reflectivity. Systems are parameterized by key metrics such as area, eccentricity, convective-stratiform ratio, and vertical structure. Furthermore, integration with geostationary satellite data enables lifecycle analysis, encompassing developing, mature, and dissipating stages. Research findings reveal several significant insights. Temporal and spatial variations: Convective intensity generally strengthens from early to mid-summer over southern China but weakens during the South China Sea monsoon onset. Regionally, convection is strongest over South China, followed by the Yangtze-Huaihe Valley, the Tibetan Plateau, and the East China Sea. The dry environment over the Tibetan Plateau leads to systems with high cloud bases, smaller horizontal scales, active mixed-phase microphysics, and lower lightning rates. Synoptic and organizational influences: System characteristics are strongly modulated by synoptic conditions. Over the eastern China plains, extremely wide convective systems occur mainly under trough, subtropical high, or typhoon influences, each associated with distinct seasonal peaks and severe weather propensities. Different organizational modes (e.g., trailing stratiform, bow echo) exhibit contrasting convective intensities, with bow-echo systems being the most vigorous. Notably, satellite observations have revealed frequent linear MCSs near the Wuyi Mountains that were not undetected by ground-based radars. Lifecycle evolution: Combined GPM and geostationary satellite data show systematic lifecycle transitions—developing stages exhibit the largest convective fraction, mature stages display the greatest precipitation area and particle concentration, and dissipating stages are characterized by smaller particle sizes. Severe weather linkages:Lightning:Thunderstorms contribute 40%—50% of annual rainfall and 70%—80% of heavy rainfall (>20 mm·h^-1) in key regions. Lightning frequency correlates more strongly with the mixed-phase layer ice volume (35 dBZ echo volume) than with echo-top height. Extreme precipitation:Approximately 20%—50% of extreme precipitation events, particularly in coastal monsoon areas, are associated with weak convection. These systems are small in scale and shallow in depth, with minimal lightning activity. Their extreme rainfall is primarily driven by enhanced warm-rain processes (efficient collision-coalescence), as evidenced by sharp reflectivity increases below the melting level. Persistent challenges arise from satellite limitations. The relatively low temporal resolution necessitates synergistic use with other observational data, while the narrow radar swaths introduce truncation effects that bias statistical analyses. In addition, standard parameterization methods struggle to capture complex system morphologies. Future research should focus on 1) enhanced multi-source data fusion through space-air-ground integrated observation networks; 2) improved classification algorithms based on machine learning; 3) mechanistic investigations combining satellite climatologies with numerical modeling to diagnose governing processes;and 4) full utilization of new satellite capabilities, such as the wider swath of FY-3G. In conclusion, precipitation measurement satellites have fundamentally advanced our understanding of precipitation systems and convective weather in China. Continued progress through multi-source integration and emerging technologies will further elucidate system complexities, ultimately improving precipitation prediction and disaster mitigation capabilities.