The Third Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction Capabilities

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Veröffentlicht in:	Bulletin of the American Meteorological Society 2023-02, Vol.104 (2), p.E456-E458
Hauptverfasser:	Clark, Adam J., Jirak, Israel L., Gallo, Burkely T., Roberts, Brett, Knopfmeier, Kent H., Vancil, Jake, Jahn, David, Krocak, Makenzie, Karstens, Christopher D., Loken, Eric D., Dahl, Nathan A., Harrison, David, Imy, David, Wade, Andrew R., Milne, Jeffrey M., Hoogewind, Kimberly A., Flora, Montgomery, Martin, Joshua, Matilla, Brian C., Picca, Joseph C., Potvin, Corey K., Skinner, Patrick S., Burke, Patrick
Format:	Artikel
Sprache:	eng
Schlagworte:	Data assimilation End users Evaluation Laboratories Machine learning Mathematical models Meteorological satellites Meteorology Modelling Physics Predictions Prototypes Public policy Seasonal forecasting Severe storms Severe weather Storm forecasting Storms Weather Weather forecasting
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