The polarimetric radio occultation (PRO) measurement has been demonstrated on-orbit since the deployment of the Spanish-developed Radio Occultations through Heavy Precipitation (ROHP) instrument in 2018, followed in recent years by numerous small satellites deployed by commercial RO providers. In addition to the ca...
F. J. Turk, R. Padullés, J. Neelin et al.· Journal of Atmospheric and O...· 0 citations
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
We present ClimateBench v2, a standardized protocol for evaluating climate models on diagnostics expected to be informative for their skill in projecting mid-century regional temperature and precipitation changes. The protocol is designed to evaluate any physics-based, data-driven, or hybrid climate model on equal foot...
Duncan Watson-Parris, Willa Tobin, Aytaç Paçal 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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