Journal article
Emergency manager decision-making and tornado warning communication
Meteorological applications, v 17(2), pp 163-172
01 Jun 2010
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Emergency managers (EMs) play a critical role in communicating severe weather and tornado warnings to the public, yet communicating the uncertainty of when, where or if a tornado may hit remains a great challenge for EMs. Focus group and survey data concerning weather product usage, weather observing spotter interaction, and decisions to warn the public were collected from Oklahoma EMs in order to characterize the communication processes EMs employ during severe weather outbreaks. These processes include: (1) acquiring weather information, (2) interpreting the information in order to make weather hazard threat assessments, (3) verifying the information, and (4) making time-sensitive warning decisions. The results indicate that while EMs use a variety of weather and radar products to acquire information, weather observing spotters are key sources of verification data. With respect to warning the public about tornado threats, sirens are the primary method. These findings are related to the development of a new radar system being developed by the Center for Collaborative Adaptive Sensing of the Atmosphere (CASA), so that this new technology can be designed to reduce uncertainty in the EM decision-making and warning communication processes. Copyright (C) 2010 Royal Meteorological Society
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Details
- Title
- Emergency manager decision-making and tornado warning communication
- Creators
- Cedar E. League - University of Colorado Colorado SpringsWalter Diaz - University of Puerto Rico-MayaguezBrenda Philips - University of Massachusetts AmherstEllen J. Bass - University of VirginiaKevin Kloesel - University of OklahomaEve Gruntfest - University of Colorado Colorado SpringsAlex Gessner - University of Virginia
- Publication Details
- Meteorological applications, v 17(2), pp 163-172
- Publisher
- Wiley
- Number of pages
- 10
- Grant note
- EEC-0313747 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000279234900007
- Scopus ID
- 2-s2.0-77954152323
- Other Identifier
- 991019292227104721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Meteorology & Atmospheric Sciences