Abstract
Mesoscale Convective Complexes (MCCs) are major convective weather systems occurring in midlatitude regions, typically associated with significant weather phenomena such as heavy rainfall, thunderstorms, strong winds, and hail. Based on the cloud-top temperature (CTT) data of the FY-2G satellite, and through multi-threshold screening combined with morphological analysis, an automated algorithm for MCC identification and tracking was developed. The algorithm is then applied to generate an hourly dataset of MCC variables over mainland China from June 2015 to December 2024. The dataset encompasses variables describing the spatial extent of the cold-core region (CTT
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CITATION STYLE
Xu, K., Zhao, S., Ma, X., Shu, J., Wang, W., Deng, Q., & Babar, Z. A. (2026). A new dataset of Mesoscale Convective Complexes (MCC) derived from FY-2G satellite data. Earth System Science Data, 18(5), 3165–3175. https://doi.org/10.5194/essd-18-3165-2026
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