Atmospheric scientists have developed and evaluated cSINGV version 1.0, a high-resolution regional coupled modeling system that integrates the atmosphere, ocean, ...
Boise State has joined ASPIRE, a planned Department of Energy-backed research project that will combine agentic AI, atmospheric data, literature ...
A factorial ANOVA study across five Iranian basins shows that the most important machine learning modeling decision for precipitation prediction ...
A new multi-scale deep learning framework called Rain-PostEFNet substantially improves numerical weather prediction rainfall forecasts, with the largest gains in ...
A new generative adversarial network called SR2-GAN significantly improves multi-step radar rainfall nowcasting, cutting prediction error by up to 44.4 ...
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