Generating a 1000-Member Ensemble of Integrated Water Vapor Transport Forecasts with Diffusion
timothy-b.-higgins
Machine learning (ML) poses a potential paradigm shift in weather forecasting, but critical questions arise regarding its ability to predict high-impact weather events. This study …
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Atmospheric rivers (ARs) and Santa Ana winds (SAWs) are impactful weather events for California communities. Emergency planning efforts and resource management would benefit from …
There is currently large uncertainty over the impacts of climate change on precipitation trends over the US west coast. Atmospheric rivers (ARs) are a significant source of US …
Subseasonal-to-seasonal (S2S) forecasts of atmospheric rivers (ARs) are in high demand in the water supply management and flood control communities. This study focuses on a new …
This paper examines the empirical relationship between the Madden-Julian oscillation (MJO), the quasi-biennial oscillation (QBO), and atmospheric river (AR) activity and …
Floods caused by atmospheric rivers and wildfires fanned by Santa Ana winds are common occurrences in California with devastating societal impacts. In this work, we show that …