AI shows promise for flood forecasting and water security in data scarce regions

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.
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How to use Watch Window in Excel to track key formulas and their results

Track key cells across sheets and workbooks without switching tabs, keeping your most important data always in view.

AI model improves flood forecasting with higher accuracy than current methods

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
IEEE

FPSO-Time: A Fuzzy Time Series Forecasting Method Based on Fuzzy Particle Swarm Optimization and Reprogrammed Large Language Models

Abstract: Time series forecasting is widely used in finance, meteorology, and industrial systems. Although existing methods have made progress in modeling trends and periodicity, they still face ...
IEEE

Rainfall Amount Forecast Using GNSS-PWV Based on Machine Learning Fusion Strategy and the Constraint of Rainfall Event

Abstract: Accurate rainfall forecasting plays a crucial role in weather monitoring. Currently, the application of global navigation satellite system-derived precipitable water vapor (GNSS-PWV) has ...