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A sample of damage-surveyed tornadoes in the contiguousUnited States (2009–17), containing specific wind speed estimates from damage indicators (DIs) within the Damage Assessment Toolkit dataset, were linked to radarobserved circulations using the nearest WSR-88D data in Part I of this work. The maximumwind speed associated with the highest-rated DI for each radar scan, corresponding 0.58 tilt angle rotational velocity Vrot, significant tornado parameter (STP), and National Weather Service (NWS) convective impact-based warning (IBW) type, are analyzed herein for the sample of cases in Part I and an independent case sample from parts of 2019–20. As Vrot and STP both increase, peak DI-estimated wind speeds and IBWwarning type also tend to increase. Different combinations ofVrot, STP, and population density—related to ranges of peak DI wind speed—exhibited a strong ability to discriminate across the tornado damage intensity spectrum. Furthermore, longer duration of high Vrot (i.e.,$70 kt) in significant tornado environments (i.e., STP$ 6) corresponds to increasing chances that DIs will reveal the occurrence of an intense tornado (i.e., EF31). These findings were corroborated via the independent sample fromparts of 2019–20, and can be applied in a real-time operational setting to assist in determining a potential range of wind speeds. This work provides evidence-based support for creating an objective and consistent, real-time framework for assessing and differentiating tornadoes across the tornado intensity spectrum.

WSR-88D Tornado Intensity Estimates. Part II: Real-Time Applications to Tornado Warning Time Scales