The destructiveness of tornado-hail events despite its localised nature present particular challenges in risk assessment and for that reason is a relatively underdeveloped area of catastrophe risk modelling. WRN research focuses on key areas of tornado-hail risk to improve understanding of climatic effects, physical understanding, and insurance-related impacts.
Regional Hail Risk Models.
The traditional scale of flood risk modelling for insurance companies has been at national and regional scales, corresponding with national insurance markets, data availability and existing platform capabilities. The WRN has developed a range of hail risk models to assess risk for exposed regions in Europe, South Africa and Australia. The WRN has an extensive tornado-hail programme to meet current industry requirements, confronting new challenges such as climate impacts on frequency and severity the WRN's global hail modelling programme.
The WRN has pioneered the use of radar and satellite imagery and other remote sensing techniques to help communities and insurers prepare for and manage the consequences of tornado-hail events. A significant priority for the WRN is the fusing of highest-detail tornado-hail event radar imagery with portfolios via advanced mapping technologies to provide insurers with situational awareness to manage claims and evaluate damage and losses to portfolios with increased speed and confidence.
Date: Sep 29, 2010 | Type: Article | Attachment: Download File ›
Journal: Monthly Weather Review |
Authors: GABRIEL A. VECCHI, MING ZHAO, HUI WANG,GABRIELE VILLARINI, ANTHONY ROSATI
Summary: Skillfully predicting North Atlantic hurricane activity months in advance is of potential societal significance and a useful test of our understanding of the factors controlling hurricane activity. In this paper, a statistical–dynamical hurricane forecasting system, based on a statistical hurricane model, with explicit uncertainty estimates, and built from a suite of high-resolution global atmospheric dynamical model integrations spanning a broad range of climate states is described.