Two of the most important challenges for the application of stochastic mortality models in life insurance practice are their complexity and their apparent incompatibility with classical life contingencies theory, which provides the backbone of insurers’ EDP systems......

A. Lau and P. E. McSharry

The WRN Texas Triple Threat seminar discussed the combined impact from hurricane, tornado and hail events on Texas property owners while offering risk management solutions through the constructive use of reinsurance for property insurers.

In the present work, an original approach, based on simultaneous stage measurements at two adjacent cross sections, is introduced and compared to the approaches described in the literature.

Seasonal climate forecasts are used by climate scientists, government departments, utility agencies, health agencies and in agriculture. Uncertainties in environmental data and in numerical prediction models make such forecasts inherently probabilistic. Good decisions require that this uncertainty in predictions be communicated to users. Some established methods have limitations, prompting this collaborative work between data visualizers and climate scientists facilitated by the Willis Research Network.

• Brian Colle, State University of New York at Stony Brook
• James Done, Willis Research Fellow, NCAR
• Kerry Emanuel, MIT
• Greg Holland, NCAR
• Tom Knutson, GFDL at Princeton
• Anna Olsen, Willis Research Fellow, University of Colorado at Boulder
• Keith Porter, University of Colorado at Boulder
• James Smith, Princeton University
• Gabriele Villarini, Willis Research Fellow, Princeton University