Bulletin of the American Meteorological Society, 2023-02, Vol.104 (2), p.E456-E458
- 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
2023
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- 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
- Titel
- The Third Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction Capabilities
- Ist Teil von
- Bulletin of the American Meteorological Society, 2023-02, Vol.104 (2), p.E456-E458
- Ort / Verlag
- Boston: American Meteorological Society
- Erscheinungsjahr
- 2023
- Quelle
- EZB Electronic Journals Library
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0003-0007eISSN: 1520-0477DOI: 10.1175/BAMS-D-22-0213.1Titel-ID: cdi_proquest_journals_2806943960
- Format
- –
- 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