Extreme rainfall events are hazardous and costly. They have increased in parts of the United States, and climate models project that trend to continue. Effective communication of potential threats and impacts associated with extreme rainfall events is one of the foci of a weather forecaster's job and aligns with the National Weather Service (NWS)'s mission to protect life and property. This research investigated how NWS forecasters processed and communicated information about extreme rainfall events that occurred in the south-central United States between 2015 and 2019. The study also explored forecasters' perceptions of the relationship between the events and climate change and whether those perceptions impacted the forecasts, including how forecast information was communicated. Semistructured interviews were conducted with 21 NWS forecasters about how they internally processed and externally communicated model outliers and anomalous rainfall events. Thematic analysis of the interview data identified components of sensemaking and decision-making conceptual frameworks as well as principles of forecasting. These components were then combined to create an extreme event forecast communication process model to illustrate the findings. Although forecast and communication processes are complex and vary between offices and forecasters, the communication process model presents a high-level conceptualization of how forecasters translate highly technical and disparate material into usable information for their audiences within the context of rare meteorological events.
机构:
Savannah River National Laboratory, Bldg 999-W, Aiken SC 39808Savannah River National Laboratory, Bldg 999-W, Aiken SC 39808
M John Plodinec
David L. Monts
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机构:
Institute for Clean Energy Technology, Mississippi State University, 205 Research Blvd, Starkville, MS 39759, USASavannah River National Laboratory, Bldg 999-W, Aiken SC 39808