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A Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction.

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Title: A Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction.
Authors: Clark, Adam J.1, adam.clark@noaa.gov, Jirak, Israel L.2, Gallo, Burkely T.3, Roberts, Brett4, Dean, Andrew R.2, Knopfmeier, Kent H.5, Wicker, Louis J.1, Krocak, Makenzie6, Skinner, Patrick S.5, Heinselman, Pamela L.1, Wilson, Katie A.5, Vancil, Jake3, Hoogewind, Kimberly A.5, Dahl, Nathan A.3, Creager, Gerald J.5, Jones, Thomas A.3,5, Jidong Gao2, Yunheng Wang5, Loken, Eric D.7, Flora, Montgomery7
Source: Bulletin of the American Meteorological Society; Apr2021, Vol. 102 Issue 4, pE814-E816, 3p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 150097972
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PubType: Academic Journal
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  Data: A Real-Time, Virtual Spring Forecasting Experiment to Advance Severe Weather Prediction.
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  Data: <searchLink fieldCode="JN" term="%22Bulletin+of+the+American+Meteorological+Society%22">Bulletin of the American Meteorological Society</searchLink>; Apr2021, Vol. 102 Issue 4, pE814-E816, 3p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=150097972
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        Value: 10.1175/BAMS-D-20-0268.1
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        Text: English
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              Text: Apr2021
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