Creating a Communication Framework for FACETs: How Probabilistic Hazard Information Affected Warning Operations in NOAA’s Hazardous Weather Testbed

  • Joseph E. Trujillo-Falcón
  • , Justin Reedy
  • , Kimberly E. Klockow-Mcclain
  • , Kodi L. Berry
  • , Gregory J. Stumpf
  • , Alyssa V. Bates
  • , James G. Ladue

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Scientists at NOAA are testing a new tool that allows forecasters to communicate estimated probabilities of severe hazards (tornadoes, severe wind, and hail) as part of the Forecasting a Continuum of Environmental Threats (FACETs) framework. In this study, we employ the embedded systems theory (EST)-a communication framework that analyzes small group workplace practices as products of group, organizational, and local dynamics-to understand how probabilistic hazard information (PHI) is produced and negotiated among multiple NWS weather forecast offices in an experimental setting. Gathering feedback from NWS meteorologists who participated in the 2020 Hazard Services (HS)-PHI Interoffice Collaboration experiment, we explored implications of local and interoffice collaboration while using this experimental tool. By using a qualitative thematic analysis, it was found that differing probability thresholds, forecasting styles, social dynamics, and workload will be social factors that developers should consider as they bring PHI toward operational readiness. Warning operations in this new paradigm were also implemented into the EST model to create a communication ecosystem for future weather hazard communication research.

Original languageEnglish
Pages (from-to)881-892
Number of pages12
JournalWeather, Climate, and Society
Volume14
Issue number3
DOIs
StatePublished - Jul 2022

Keywords

  • Communications/decision-making
  • Decision-making
  • Forecasting
  • Probability forecasts/models/ distribution
  • Societal impacts

Fingerprint

Dive into the research topics of 'Creating a Communication Framework for FACETs: How Probabilistic Hazard Information Affected Warning Operations in NOAA’s Hazardous Weather Testbed'. Together they form a unique fingerprint.

Cite this