Physical and Mathematical Constraints in Artificial Intelligence-Based Methods for Monitoring Floods and Droughts
Abstract
Disasters, including floods and droughts, are a pressing issue for many countries, particularly Brazil, due to the significant loss of life and economic damage they cause. The effects of climate change are expected to aggravate this issue by increasing the frequency and intensity of extreme weather events. Therefore, developing accurate and reliable disaster forecasting models is critical to reducing the impact of these events. [...]
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References
Lei Xu, Nengcheng Chen, Zeqiang Chen, Chong Zhang, and Hongchu Yu. “Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions”. In: Earth-Science Reviews 222 (2021), p. 103828. issn: 0012-8252. doi: https://doi.org/10.1016/j.earscirev.2021.103828. url: https://www.sciencedirect.com/science/article/pii/S0012825221003299.
R. Oyarzabal. “Artificial Intelligence and Drougt - a systematic literature review”. In: Water to be submitted (2023).
