Atmospheric Rivers (ARs) often co‐occur with other weather systems, including fronts, low‐pressure systems (LPSs), and mesoscale convective systems (MCSs), which can amplify precipitation and flood risk. While extreme rainfall is frequently linked to multiple interacting features, how these systems co‐occur with AR int...
Diya Kamnani, T. O'Brien, Wei-Ming Tsai et al.· Geophysical Research Letters· 0 citations
Deep learning has made rapid advances in weather forecasting: autoregressive models trained on atmospheric reanalyses now rival dynamical models across nowcasting, medium-range, and subseasonal-to-seasonal lead times, producing well-calibrated ensemble forecasts at reduced cost. We review these advances and consider th...
Tom Beucler, J. Neelin, Hui Su et al.· 0 citations
California and adjacent regions received record-breaking precipitation in the winters of 2016–2017 and 2022–2023, causing extraordinary damage and severe societal impacts. However, subseasonal to seasonal predictive skill for Californian winter precipitation has remained persistently low. Furthermore, these extreme hyd...
Yong-Kang Xue, Qian Li, W. Lau et al.· Science Advances· 0 citations
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