National Weather Service Field Testing of the Flash Flood Severity Index: A Retroactive Analysis from 2018 to 2022

Amanda J. Schroeder a NOAA/National Weather Service Forecast Office, Fort Worth, Texas

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Jon Zeitler b NOAA/National Weather Service Forecast Office, New Braunfels, Texas

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Monte Oaks b NOAA/National Weather Service Forecast Office, New Braunfels, Texas

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Katie Landry-Guyton c NOAA/National Weather Service Forecast Office, Houston, Texas

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Todd Lindley d NOAA/National Weather Service Forecast Office, Norman, Oklahoma

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Kevin Brown d NOAA/National Weather Service Forecast Office, Norman, Oklahoma

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James Brewster e NOAA/National Weather Service Forecast Office, Binghamton, New York

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Jonathan Brazzell f NOAA/National Weather Service Forecast Office, Lake Charles, Louisiana

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Tabitha Clarke g NOAA/National Weather Service Forecast Office, Little Rock, Arkansas

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Abstract

Flash flooding continues to be one of the deadliest natural hazards in the United States. Unfortunately, most flood classification systems fall short on conveying flood threat to the public. An interdisciplinary approach is necessary to properly categorize flash flood impacts to improve forecasting techniques and provide effective messaging of life-saving flood information. Furthermore, understanding how each flash flood event compares to another provides the community with a more thorough frame of reference regarding local flood hazards. To address this, a collaborative research endeavor resulted in a simple, damage-based, post-event assessment tool – The Flash Flood Severity Index (FFSI). The five-tiered index debuted in 2016, and National Weather Service (NWS) field testing began in 2018 at a subset of Weather Forecast Offices (WFOs). The initial analysis showed that most flash flood events can be categorized as Moderate or Serious (FFSI-2 or FFSI-3). This study outlines the details of the field testing and the results of classifying local storm reports (LSRs) with FFSI. Links between FFSI and flash flood warning (FFW) impact-based warning (IBW) tags were also incorporated. Results show that there are some disparities between the severity of the flash flood based on FFSI categorization and the IBW tags assigned to the associated FFWs. As the inventory of events grows, collaborators aim to further develop the classification system, expand testing across additional WFOs and other climate regions, and explore the potential for improving flash flood forecasting and messaging techniques.

© 2025 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Amanda J. Schroeder, amanda.schroeder@noaa.gov

Abstract

Flash flooding continues to be one of the deadliest natural hazards in the United States. Unfortunately, most flood classification systems fall short on conveying flood threat to the public. An interdisciplinary approach is necessary to properly categorize flash flood impacts to improve forecasting techniques and provide effective messaging of life-saving flood information. Furthermore, understanding how each flash flood event compares to another provides the community with a more thorough frame of reference regarding local flood hazards. To address this, a collaborative research endeavor resulted in a simple, damage-based, post-event assessment tool – The Flash Flood Severity Index (FFSI). The five-tiered index debuted in 2016, and National Weather Service (NWS) field testing began in 2018 at a subset of Weather Forecast Offices (WFOs). The initial analysis showed that most flash flood events can be categorized as Moderate or Serious (FFSI-2 or FFSI-3). This study outlines the details of the field testing and the results of classifying local storm reports (LSRs) with FFSI. Links between FFSI and flash flood warning (FFW) impact-based warning (IBW) tags were also incorporated. Results show that there are some disparities between the severity of the flash flood based on FFSI categorization and the IBW tags assigned to the associated FFWs. As the inventory of events grows, collaborators aim to further develop the classification system, expand testing across additional WFOs and other climate regions, and explore the potential for improving flash flood forecasting and messaging techniques.

© 2025 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Amanda J. Schroeder, amanda.schroeder@noaa.gov
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