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  • Presentation | SY51A: AI and High-Resolution Forecasting for Societal Resilience II Oral
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  • SY51A-04: Comparative Analysis of Power Dissipation Index (PDI) for Cyclone Remal Using WRF-ARW with FNL and CFSv2 Forcings
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Author(s):
Azizul Hakim, University of Chittagong (First Author, Presenting Author)
Mohan Kumar Das, National Oceanographic And Maritime Institute (NOAMI)
Al Tahsin Mahmud khan, University of Chittagong


This study looked at Cyclone Remal using a computer weather model to see how different input data affects storm strength. We ran two separate simulations using global weather datasets and then calculated the Power Dissipation Index, or PDI. PDI is a number that reflects how much energy a cyclone releases over time, based on wind speed. By comparing this with official storm records, we could see how well the model captured the storm’s power. Understanding PDI helps scientists check how accurate their forecasts are. This kind of research is useful for improving early warnings and planning for future storms.



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