Anthropogenic climate change is decreasing seasonal snowpacks globally, with potentially
catastrophic consequences on water resources, given the long-held reliance on snowpack …

Atmospheric rivers (ARs) generate most of the economic losses associated with flooding in
the western United States and are projected to increase in intensity with climate change …

Atmospheric rivers lie behind many extreme precipitation and flood episodes in the mid-
latitudes. Better forecasts of atmospheric rivers and their impacts could help with …

Deep-learning (DL) postprocessing methods are examined to obtain reliable and accurate
probabilistic forecasts from single-member numerical weather predictions of integrated …

The performance of various composite satellite precipitation products is severely limited by
their individual passive microwave (PMW)-based retrieval uncertainties because the PMW …

The main in situ database for numerical weather prediction currently relies on radiosonde
and airliner observations, with large systematic data gaps: horizontally in certain countries …

Observational networks enhance real‐time situational awareness for emergency and water
resource management during extreme weather events. We present examples of how a …

During a 6-day intensive observing period in January 2021, Atmospheric River
Reconnaissance (AR Recon) aircraft sampled a series of atmospheric rivers (ARs) over the …

Conventional observations of atmospheric rivers (ARs) over the northeastern Pacific Ocean
are sparse. Satellite radiances are affected by the presence of clouds and heavy …

Landfalling atmospheric rivers (ARs) over the western US are responsible for∼ 30%–50%
of the annual precipitation, and their accurate forecasts are essential for aiding water …