Collaboration among Forecasters to Issue Severe Weather Hazard Information and Warnings Using the Hazard Services–Probabilistic Hazard Information (HS-PHI) Tool

Joseph James, Chen Ling, Alyssa Bates, Gregory J. Stumpf, Kim Klockow-Mcclain, Pat Hyland, Jim Ladue, Kodi L. Berry, Kevin Manross

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This project tested software capabilities and operational implications related to interoffice collaboration during NWS severe weather warning operations within a proposed paradigm, Forecasting A Continuum of Environmental Threats (FACETs). Current NWS policy of each forecast office issuing warnings for an exclusive area of responsibility may result in inconsistent messaging. In contrast, the FACETs paradigm, with object-based, moving probabilistic and determin-istic hazard information, could provide seamless information across NWS County Warning Areas (CWAs). An experiment was conducted that allowed NWS forecasters to test new software that incorporates FACETs-based hazard information and potential concepts of operation to improve messaging consistency between adjacent WFOs. Experiment scenarios con-sisted of a variety of storm and office border interactions, fictional events requiring nowcasts, and directives that mimicked differing inter-WFO warning philosophies. Surveys and semi-structured interviews were conducted to gauge forecasters’ confidence and workload levels, and to discuss potential solutions for interoffice collaboration and software issues. We found that forecasters were able to adapt quickly to the new software and concepts and were comfortable with collaborat-ing with their neighboring WFO in warning operations. Although forecasters felt the software’s collaboration tools enabled them to communicate in a timely manner, adding this collaboration increased their workload when compared to their workload during current warning operations.

Original languageEnglish
Pages (from-to)2275-2291
Number of pages17
JournalWeather and Forecasting
Volume37
Issue number12
DOIs
StatePublished - Dec 2022
Externally publishedYes

Keywords

  • Forecasting
  • Forecasting techniques
  • Numerical weather prediction/forecasting
  • Operational forecasting
  • Probabilistic Quantitative Precipitation Forecasting (PQPF)

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