Timothy B. Higgins

Deep Learning; Atmospheric Rivers; Detection; Climate; Semantic Segmentation

Using Deep Learning for an Analysis of Atmospheric Rivers in a High-Resolution Large Ensemble Climate Data Set

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 …

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Atmospheric River; Atmospheric River Reconnaissance; Data Assimilation; Dropsondes; Numerical Modeling; Observational Impact

Improved Forecast Skill Through the Assimilation of Dropsonde Observations From the Atmospheric River Reconnaissance Program

Landfalling atmospheric rivers (ARs) over the western US are responsible for similar to 30%-50 % of the annual precipitation, and their accurate forecasts are essential for …

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