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Luca Delle Monache
Scripps Institution of Oceanography, UCSDMeeting roles in:
The impact of enhanced vertical resolution on seasonal prediction skill in CESM2: a new community hindcast dataset
The Interaction between Short-wave Troughs and Atmospheric Rivers over the North Pacific
Investigating the Impact of Numerical Model Uncertainty in the Marine Boundary Layer on the Predictability of Atmospheric Rivers and Onshore Precipitation
Can AI Data-Driven Models Capture the Temporal Clustering of Unique Atmospheric Rivers and the Influence of Climate Modes?
Regional Kilometer-Scale Data-Driven Precipitation Forecasting over the Western United States Using Artificial Intelligence (AI)
Exploring the Origins of Forecast Errors and Large-Scale Dynamics of Weather Extremes with an AI Weather Model
Atmospheric River Reconnaissance: Mission Planning, Execution, and Incorporation of Operational and Science Objectives
Enhancing Forecasts of Atmospheric River Related Precipitation at Multiple Lead Times Using Data Assimilation
Global Reach Scale Hydrology: Progress and Challenges
LSTM-Enhanced Streamflow Forecasting for California-Nevada Region: a Post-Processing Framework for CHPS and WRF-Hydro
High-Resolution Ensemble Forecasting of Extreme Weather Using a Stretched-Grid AI Weather Model
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