EVALUATION OF LIGHTNING IN EXTREME PRECIPITATION EVENTS IN CEARÁ
Nowcasting; Semiarid; Remote Sensing; Natural Disasters.
Ceará faces extreme precipitation events that lead to disasters, impacting infrastructure and society. Although lightning activity is an indicator of storm intensity, the specific relationship between lightning and extreme precipitation in the region is poorly explored, hindering the improvement of warning and forecasting systems. This dissertation proposes to investigate the behavior of lightning during extreme precipitation events in Ceará, seeking to characterize precipitation and lightning, and to analyze their temporal and spatial distributions in the state. The applied methodology will use hourly precipitation data from 16 INMET stations (2018-2024) to identify Hourly-Scale Intense Precipitation Events (EPIEH), in addition to CEMADEN data that complement this analysis. The lightning activity recorded by the Geostationary Lightning Mapper (GLM) on GOES-16 will be used to calculate the Flash Rate Density (FRD) and to monitor flash points. Information from the Integrated Disaster Information System (S2ID) and news sources will be integrated into the analysis of the resulting impacts. The Advanced Baseline Imager (ABI) and the TATHU library will assist in delineating and tracking convective systems that may have triggered the EPIEH. This study is expected to deepen the understanding of lightning patterns in extreme precipitation events in Ceará, providing essential information to enhance nowcasting techniques and strategies for mitigating impacts on infrastructure and life. The results may support more a'ccurate warnings and strengthen disaster risk management.