Paul Werth
United States Department of the Interior
14 Papers
26 Citations
Paul Werth is an academic researcher from United States Department of the Interior. The author has contributed to research in topics: Computer science & Empire. The author has an hindex of 5, co-authored 6 publications.
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Papers
Synthesis of knowledge of extreme fire behavior : volume I for fire managers /
Paul Werth,Brian E. Potter,Craig B. Clements,Mark A. Finney,Scott L. Goodrick,Martin E. Alexander,Miguel G. Cruz,Jason A. Forthofer,Sara McAllister +8 more
- 01 Jan 2011
TL;DR: A summary of existing extreme fire behavior knowledge for use by fire managers, firefighters, and fire researchers can be found in this paper, where the authors focus on the state of the science, but will also consider how that science is currently presented to the fire management community.
Synthesis of knowledge of extreme fire behavior: volume 2 for fire behavior specialists, researchers, and meteorologists
Paul Werth,Brian E. Potter,Martin E. Alexander,Craig B. Clements,Miguel G. Cruz,Mark A. Finney,Jason Forthofer,Scott L. Goodrick,Chad M. Hoffman,W. Matt Jolly,Sara McAllister,Roger D. Ottmar,Russell A. Parsons +12 more
- 01 Jan 2016
TL;DR: In this paper, the authors synthesize existing extreme fire behavior knowledge in a way that connects the weather, fuel, and topographic factors that contribute to development of extreme fire behaviour.
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Model-Generated Predictions of Dry Thunderstorm Potential
TL;DR: In this article, the authors developed an algorithm to estimate the potential of dry lightning (lightning that strikes the ground with little or no rainfall at the surface) when con con...
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The Effect of Model Resolution in Predicting Meteorological Parameters Used in Fire Danger Rating
Jeanne Hoadley,Kenneth J. Westrick,Sue A. Ferguson,Scott L. Goodrick,Larry Bradshaw,Paul Werth +5 more
TL;DR: In this article, the authors evaluate the value of increased model resolution for prediction of fire danger, and find that little significant improvement was found in skill with increasing model resolution using standard forecast verification techniques.
Evaluation of MM5 model resolution when applied to prediction of National Fire Danger Rating indexes
Jeanne L. Hoadley,Miriam Rorig,Larry S. Bradshaw,Sue A. Ferguson,Kenneth J. Westrick,Scott L. Goodrick,Paul Werth +6 more
TL;DR: In this article, weather predictions from the MM5 mesoscale model were used to compute gridded predictions of National Fire Danger Rating System (NFDRS) indexes, and the model output was applied to a case study of the 2000 fire season in Northern Idaho and Western Montana to simulate an extreme event.