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    Catastrophe Risk Models for Wildfires in the Wildland–Urban Interface: What Insurers Need 

    Source: Natural Hazards Review:;2006:;Volume ( 007 ):;issue: 004
    Author(s): Richard J. Murnane
    Publisher: American Society of Civil Engineers
    Abstract: Insurers use catastrophe risk models to estimate loss exceedance probabilities for a range of different hazard events. The 2003 wildfires in Southern California caused over $2 billion in insured losses and increased insurer’s ...
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    Epistemic Uncertainty, Rival Models, and Closure 

    Source: Natural Hazards Review:;2013:;Volume ( 014 ):;issue: 001
    Author(s): Taylor; Murnane; Graf; Lee
    Publisher: American Society of Civil Engineers
    Abstract: In catastrophe risk and probabilistic hazard evaluations, one overarching issue is how to account for uncertainties. One influential school of thought employs a sharp distinction between aleatory (pertaining to randomness) ...
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    Climate Research and Reinsurance* 

    Source: Bulletin of the American Meteorological Society:;2004:;volume( 085 ):;issue: 005:;page 697
    Author(s): Murnane, Richard J.
    Publisher: American Meteorological Society
    Abstract: Extreme weather events produce some of the most deadly and costly natural disasters and are a major concern of the catastrophe reinsurance industry. For example, in 1992 Hurricane Andrew caused over $20 billion (in 2002 ...
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    The Weather Risk Management Industry's Climate Forecast and Data Needs: A Workshop Report 

    Source: Bulletin of the American Meteorological Society:;2002:;volume( 083 ):;issue: 008:;page 1193
    Author(s): Murnane, Richard J.; Crowe, Michael; Eustis, Allan; Howard, Susan; Koepsell, Judy; Leffler, Robert; Livezey, Robert
    Publisher: American Meteorological Society
    Abstract: The National Oceanic and Atmospheric Administration (NOAA), the Risk Prediction Initiative, and the Weather Risk Management Association jointly sponsored a workshop that examined a variety of issues related to climate ...
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    Estimating Hurricane Wind Structure in the Absence of Aircraft Reconnaissance 

    Source: Weather and Forecasting:;2007:;volume( 022 ):;issue: 001:;page 89
    Author(s): Kossin, James P.; Knaff, John A.; Berger, Howard I.; Herndon, Derrick C.; Cram, Thomas A.; Velden, Christopher S.; Murnane, Richard J.; Hawkins, Jeffrey D.
    Publisher: American Meteorological Society
    Abstract: New objective methods are introduced that use readily available data to estimate various aspects of the two-dimensional surface wind field structure in hurricanes. The methods correlate a variety of wind field metrics to ...
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