This project features a multi-departmental collaboration with The University of Miami (UM), the National Center for Atmospheric Research (NCAR), NOAA National Weather Service, and NOAA Oceanic and Atmospheric Research. This two-year, mixed-methods, multi-sample project seeks to develop a translatable process for NOAA to harness public feedback, rethink and redesign weather risk graphics for different types…

This interdisciplinary research project aims to support ongoing efforts to measure the operational performance and delivery of Impact-Based Decision Support Services (IDSS) at the National Weather Service (NWS). The project will assess how (1) different NWS personnel (e.g., Meteorologists and Hydrologists in Charge, Warning Coordination Meteorologists, and Service Coordination Hydrologists) define IDSS, (2) IDSS is…

This project focuses on the challenges of communicating warnings for compound tornado and flash flooding (TORFF) hazards that occur during landfalling tropical cyclones (LTC), which have been even more complicated during the COVID-19 pandemic. Specifically, the project aims to understand how weather experts conceptualize, plan for, and communicate TORFFs during LTCs. The project will use…

Every community of stakeholders has its “go/no go” action thresholds, and identifying these risk thresholds and incorporating them into forecast visualizations is critical for maximizing the utility of probabilistic hazard information (PHI) for Impact-Based Decision Support Services (IDSS). Therefore, this research project aims to survey various National Weather Service (NWS) Western Region core partners and…

This project aims to create a scientifically rigorous and operationally feasible (i.e., could be deployed by National Weather Service Weather Forecast Offices) survey system for collecting data on the publics’ perception and response to four different hazards: tornadoes, severe thunderstorms (i.e., those with winds over 70 miles per hour), flash floods, and winter weather. The…

This project seeks to identify, develop, and test new metrics that will measure the effectiveness of Impact-Based Decision Support Services (IDSS) with National Weather Service (NWS) core partners by creating a yearly survey called the Extreme Weather and Emergency Management Survey (WxEm Survey). The survey will collect data on how emergency managers use NOAA/NWS data,…

This two-year project builds on previous NOAA-funded research to improve the development, testing, and evaluation of different methods that can be used to collect local vulnerability data from forecasters, emergency managers, and other National Weather Service (NWS) core partners. These local data on vulnerable people, places, and things can then be used to populate a…

This two-part, mixed-methods research project seeks to discover how emergency managers’ (EMs) differing individual and job characteristics influence how effectively they use the National Weather Service’s (NWS) forecasts and Impact-Based Decision Support (IDSS). Primary project outputs include identifying particular EM characteristics that should be considered to help construct more effective IDSS, and a method whereby…

This research project aims to compare the protective action tendencies of people living in areas of the US that commonly experience severe convective weather to those living in regions less prone to it. By interviewing survivors of tornadoes and high-end thunderstorms across various US regions, the researchers hope to better understand the common and differing…

This project will develop a virtual reality simulation, alongside education and training materials, that will help coastal residents and decision makers make better informed decisions. This simulation will also help these individuals take steps to protect lives and livelihoods in vulnerable coastal communities by heightening risk perceptions and increasing an understanding of the ways in…