Hybrid AI-enhanced lightning flash prediction in the medium-range forecast horizon.

ABSTRACT: Traditional fully-deterministic algorithms, which rely on physical equations and mathematical models, are the backbone of many scientific disciplines for decades. These algorithms are based on well-established principles and laws of physics, enabling a systematic and predictable approach to problem-solving. On the other hand, AI-based strategies emerge as a powerful tool for handling vast amounts of data and extracting patterns and relationships that might be challenging to identify through traditional algorithms. Here, we bridge these two realms by using AI to find an optimal mapping of meteorological features predicted two days ahead by the state-of-the-art numerical weather prediction model by the European Centre for Medium-range Weather Forecasts (ECMWF) into lightning flash occurrence

SUBMITTER: Cavaiola M 

PROVIDER: S-EPMC10853497 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature