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    Quantification of NSSL Warn-on-Forecast System Accuracy by Storm Age Using Object-Based Verification 

    Source: Weather and Forecasting:;2022:;volume( 037 ):;issue: 011:;page 1973
    Author(s): Jorge E. Guerra; Patrick S. Skinner; Adam Clark; Montgomery Flora; Brian Matilla; Kent Knopfmeier; Anthony E. Reinhart
    Publisher: American Meteorological Society
    Abstract: The National Severe Storm Laboratory’s Warn-on-Forecast System (WoFS) is a convection-allowing ensemble with rapidly cycled data assimilation (DA) of various satellite and radar datasets designed for prediction at 0–6-h ...
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    Doppler Lidar and Mobile Radiosonde Observation-Based Evaluation of Warn-on-Forecast System Predicted Near-Supercell Environments during TORUS 2019 

    Source: Weather and Forecasting:;2022:;volume( 037 ):;issue: 010:;page 1783
    Author(s): Jordan J. Laser; Michael C. Coniglio; Patrick S. Skinner; Elizabeth N. Smith
    Publisher: American Meteorological Society
    Abstract: Observational data collection is extremely hazardous in supercell storm environments, which makes for a scarcity of data used for evaluating the storm-scale guidance from convection allowing models (CAMs) like the National ...
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    DSpace software copyright © 2002-2015  DuraSpace
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