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How can these new tools improve severe weather warnings?

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How can these new tools improve severe weather warnings?

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Solution: The WDSS-II’s capability to ingest other data sources for use in algorithms and conceptual models gives the forecaster the ability to re-examine an area and diagnose a situation. Automated computer algorithms can ingest and perform routine data processing tasks faster than humans without suffering from fatigue or other lapses in judgment. For example, the NEXRAD hail algorithm currently uses temperature soundings taken every 12 hours. If RUC data is used, which is produced every hour on a 20km grid, the hourly and spatial resolution is much greater. The best solution is to allow the computer algorithms to perform the data ingest and processing tasks and to generate intermediate products, while the human forecaster is responsible for the interpretation/analysis of data and for making the final warning decision. Problem: The NWS tracks warning performance statistics and desires to increase the probability of detection (POD) and lead time, while reducing the false alarm ratio (F

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