AI for climate change and mitigation

Author(s)	J. HITAISHI, JANEESHA JAHAN, J. VARSHITH KUMAR, BAINI ANUSHA RANI
Country	India
Abstract	Climate change poses a critical global challenge, with traditional forecasting methods often struggling to model its complex patterns accurately. In response, recent advancements in artificial intelligence have opened new possibilities for analyzing vast climate datasets, improving prediction precision, and guiding mitigation strategies. This project was developed to harness those AI capabilities—combining deep learning, physics-based modeling, and real-time data—to deliver a more reliable and adaptive solution for climate forecasting and risk reduction.
Keywords	climate change artificial intelligence machine learning climate modeling predictive analytics physics-informed neural networks recurrent neural networks real-time data mitigation strategies environmental monitoring data fusion explainable AI precision forecasting stakeholder feedback sustainable planning climate resilience AI-driven solutions climate prediction adaptive systems decision support
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-05-07
DOI	https://doi.org/10.71097/IJSAT.v16.i2.4472
Short DOI	https://doi.org/g9hsqm

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