Operationalizing the Fire Warning: distinguishing structural constraints from training-sensitive perceptions

Abstract As wildfires increasingly impact urbanized areas, modernizing early warning systems is vital for public safety. This research evaluates the operational utility of Fire Warnings—tactical National Weather Service (NWS) alerts issued at the request of local emergency management agencies—by examining how exposure and training influence practitioner adoption. Through focus groups with 85 experienced NWS fire partners, the study identifies a baseline of skepticism among those without Fire Warning training. Findings reveal a critical exposure gap: while untrained practitioners fear jurisdictional friction and bureaucratic delays, these “training-sensitive” barriers contrast with immersive simulations performed at National Oceanic and Atmospheric Administration’s Fire Weather Testbed where hands-on experience with a select group of fire partners fostered professional optimism towards Fire Warnings. Conversely, “structural barriers,” such as alert redundancies and the rapid lead-time collapse of fast-moving fires, remain persistent regardless of training. Here, we propose a flexible socio-technical framework to address these challenges. Recommendations focus on implementing modular training, encouraging Tactical Integrated Warning Teams (IWT), and ensuring Fire Warnings can be disseminated via the Wireless Emergency Alert (WEA) dissemination system. By triangulating focus group data with simulation insights, this research provides a roadmap for refining alerts during rapidly escalating, dynamic hazard events.

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Publication Details

Journal
npj natural hazards.
Published
2026-07-16
DOI
https://doi.org/10.1038/s44304-026-00247-y
Primary Topic
Disaster Management and Resilience
Type
article
Field-Weighted Citation Impact
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article

Operationalizing the Fire Warning: distinguishing structural constraints from training-sensitive perceptions

Stephanie Hoekstra, Jamie Vickery, Z. Tolby, Benjamin J. Hatchett et al.
npj natural hazards.
Disaster Management and Resilience
article

Operationalizing the Fire Warning: distinguishing structural constraints from training-sensitive perceptions

Stephanie Hoekstra, Jamie Vickery, Z. Tolby, Benjamin J. Hatchett, Emily M. Wells
article en

Abstract

Abstract As wildfires increasingly impact urbanized areas, modernizing early warning systems is vital for public safety. This research evaluates the operational utility of Fire Warnings—tactical National Weather Service (NWS) alerts issued at the request of local emergency management agencies—by examining how exposure and training influence practitioner adoption. Through focus groups with 85 experienced NWS fire partners, the study identifies a baseline of skepticism among those without Fire Warning training. Findings reveal a critical exposure gap: while untrained practitioners fear jurisdictional friction and bureaucratic delays, these “training-sensitive” barriers contrast with immersive simulations performed at National Oceanic and Atmospheric Administration’s Fire Weather Testbed where hands-on experience with a select group of fire partners fostered professional optimism towards Fire Warnings. Conversely, “structural barriers,” such as alert redundancies and the rapid lead-time collapse of fast-moving fires, remain persistent regardless of training. Here, we propose a flexible socio-technical framework to address these challenges. Recommendations focus on implementing modular training, encouraging Tactical Integrated Warning Teams (IWT), and ensuring Fire Warnings can be disseminated via the Wireless Emergency Alert (WEA) dissemination system. By triangulating focus group data with simulation insights, this research provides a roadmap for refining alerts during rapidly escalating, dynamic hazard events.

npj natural hazards.
Cooperative Institute for Research in Environmental Sciences (US), NOAA Global Systems Laboratory, NOAA Earth System Research Laboratory (US), Colorado State University (US)
Sustainable cities and communities
Openalex Percentile: Top 4%
Disaster Management and Resilience
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