Chilean Wildfires: Probabilistic Prediction, Emergency Response, and Public Communication

Capsule SummaryThe design, development and initial testing of a prototype probabilistic warning system for Chile, including communication of the warnings at different information levels.

[1]  W. Schroeder,et al.  The New VIIRS 375 m active fire detection data product: Algorithm description and initial assessment , 2014 .

[2]  Douglas G. Woolford,et al.  Wildfire Prediction to Inform Fire Management: Statistical Science Challenges , 2013, 1312.6481.

[3]  Susan Joslyn,et al.  Communicating forecast uncertainty: public perception of weather forecast uncertainty , 2010 .

[4]  J. R. Molina,et al.  A system to evaluate fire impacts from simulated fire behavior in Mediterranean areas of Central Chile. , 2017, The Science of the total environment.

[5]  D. Calkin,et al.  Near-term probabilistic forecast of significant wildfire events for the Western United States , 2016 .

[6]  Timothy Neale,et al.  Navigating scientific uncertainty in wildfire and flood risk mitigation: A qualitative review , 2015 .

[7]  F. Pappenberger,et al.  Development of a Global Fire Weather Database , 2015 .

[8]  E. Stehfest,et al.  Anthropogenic land use estimates for the Holocene – HYDE 3.2 , 2016 .

[9]  Michael D. Dettinger,et al.  CLIMATE AND WILDFIRE IN THE WESTERN UNITED STATES , 2003 .

[10]  W. Schroeder,et al.  Assessment of VIIRS 375 m active fire detection product for direct burned area mapping , 2015 .

[11]  C. Justice,et al.  The collection 6 MODIS active fire detection algorithm and fire products , 2016, Remote sensing of environment.

[12]  P. Sarricolea,et al.  Wildfires in Chile: A review , 2016 .

[13]  G. Julio Diseño de índices de riesgo de incendios forestales para Chile , 1990 .

[14]  Thomas T. Veblen,et al.  Fire history of Araucaria–Nothofagus forests in Villarrica National Park, Chile , 2005 .

[15]  C. E. Van Wagner,et al.  Development and structure of the Canadian Forest Fire Weather Index System , 1987 .

[16]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[17]  P. Fernandes,et al.  Portugal and Chile: Longing for sustainable forestry while rising from the ashes , 2017 .

[18]  Pao-Shin Chu,et al.  Fire-climate relationships and long-lead seasonal wildfire prediction for Hawaii , 2002 .

[19]  Alison Black,et al.  Visualizing Volcanic Ash Forecasts: Scientist and Stakeholder Decisions Using Different Graphical Representations and Conflicting Forecasts , 2017 .

[20]  Juan Ramón Molina,et al.  Economic susceptibility of fire-prone landscapes in natural protected areas of the southern Andean Range. , 2017, The Science of the total environment.

[21]  Susan Joslyn,et al.  Probability or frequency? Expressing forecast uncertainty in public weather forecasts , 2009 .

[22]  T. Kitzberger,et al.  Ecological and Climatic Controls of Modern Wildfire Activity Patterns Across Southwestern South America , 2012 .

[23]  Theo Economou,et al.  On the use of Bayesian decision theory for issuing natural hazard warnings , 2016, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[24]  S. Running Is Global Warming Causing More, Larger Wildfires? , 2006, Science.

[25]  G. Mills,et al.  Australian fire weather as represented by the McArthur Forest Fire Danger Index and the Canadian Forest Fire Weather Index , 2009 .

[26]  Craig H. Bishop,et al.  The THORPEX Interactive Grand Global Ensemble , 2010 .

[27]  D. Roy,et al.  An active-fire based burned area mapping algorithm for the MODIS sensor , 2009 .

[28]  J. Abatzoglou,et al.  Controls on interannual variability in lightning-caused fire activity in the western US , 2016 .

[29]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[30]  J C Rougier,et al.  On the use of Bayesian decision theory for issuing natural hazard warnings. , 2016, Proceedings. Mathematical, physical, and engineering sciences.

[31]  P. Aldunce,et al.  Local Perception of Drought Impacts in a Changing Climate: The Mega-Drought in Central Chile , 2017 .

[32]  S. David Leonard,et al.  Association of colors with warning signal words , 1997 .

[33]  Chris Tang,et al.  The Potential Impact of Directionality, Colour Perceptions and Cultural Associations on Disaster Messages During Heatwaves in the UK , 2015, PLoS currents.

[34]  Michael Sharpe,et al.  Ensemble based first guess support towards a risk‐based severe weather warning service , 2014 .

[35]  Virginia Murray,et al.  Improving the Health Forecasting Alert System for Cold Weather and Heat-Waves In England: A Proof-of-Concept Using Temperature-Mortality Relationships , 2015, PloS one.