Luca Delle Monache

Atmospheric River Reconnaissance 2021: A Review

Winter wet-dry weather patterns driving atmospheric rivers and Santa Ana winds provide evidence for increasing wildfire hazard in California

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 …

Probabilistic Predictions from Deterministic Atmospheric River Forecasts with Deep Learning

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

Atmospheric River Reconnaissance Workshop Promotes Research and Operations Partnership

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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 …

Data Gaps within Atmospheric Rivers over the Northeastern Pacific

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

Four Atmospheric Circulation Regimes Over the North Pacific and Their Relationship to California Precipitation on Daily to Seasonal Timescales

Precipitation in California is highly variable and not well forecasted on subseasonal-to-seasonal (S2S) timescales. Understanding relationships between synoptic-scale …

Experimental Subseasonal-to-Seasonal (S2S) Forecasting of Atmospheric Rivers Over the Western United States

A multimodel evaluation of subseasonal-to-seasonal (S2S) hindcast skill of atmospheric rivers (ARs) out to 4-week lead over the western United States is presented for three …