TY - JOUR
T1 - Creating a Communication Framework for FACETs
T2 - How Probabilistic Hazard Information Affected Warning Operations in NOAA’s Hazardous Weather Testbed
AU - Trujillo-Falcón, Joseph E.
AU - Reedy, Justin
AU - Klockow-Mcclain, Kimberly E.
AU - Berry, Kodi L.
AU - Stumpf, Gregory J.
AU - Bates, Alyssa V.
AU - Ladue, James G.
N1 - Publisher Copyright:
© 2022 American Meteorological Society.
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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.
KW - Communications/decision-making
KW - Decision-making
KW - Forecasting
KW - Probability forecasts/models/ distribution
KW - Societal impacts
UR - https://www.scopus.com/pages/publications/85135248711
U2 - 10.1175/WCAS-D-21-0136.1
DO - 10.1175/WCAS-D-21-0136.1
M3 - Article
AN - SCOPUS:85135248711
SN - 1948-8327
VL - 14
SP - 881
EP - 892
JO - Weather, Climate, and Society
JF - Weather, Climate, and Society
IS - 3
ER -