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Mass Conservative Time-Series GAN for Synthetic Extreme Flood-Event Generation: Impact on Probabilistic Forecasting Models

Earth Sciences

Mass Conservative Time-Series GAN for Synthetic Extreme Flood-Event Generation: Impact on Probabilistic Forecasting Models

D. Karimanzira

Discover how Divas Karimanzira's innovative research harnesses the power of Generative Adversarial Networks to revolutionize flood forecasting. By generating synthetic flood events, this study significantly enhances predictive models, demonstrating a remarkable 9.8% improvement in multi-step forecasts. Explore the future of smarter and more reliable flood management!

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