The latest research published by the Journal of Catastrophe Risk and Resilience, including Research Articles, Research Notes, and Reviews. All of these papers are subject to JCRR's peer-review process, meaning they have been externally vetted by independent experts to meet our high standards of scientific quality, relevance, and accuracy.
In this article, authors Scott Kehler and Matthieu Desorcy, Weatherlogics Inc., explore the following question: Can elevation data and a thunderstorm climatology be used to produce a reliable hail climatology? Using Weatherlogics Hail Database hail reports from January 1, 2017 to October 1, 2024, the WWLLN thunder hours climatology, and CDMS/GMTED2010 elevation data, the authors demonstrate that elevation has a useful relationship with the hail-thunderstorm ratio.
There is demand to understand the current hurricane risk in the context of future climate change. In this JCRR research article, authors Ralf Toumi and Nathan Sparks, Imperial College London, propose using the hurricane damage index (HurDI) as a measure of the underlying non-stationary risk of hurricanes across the continental U.S.
In this research study, author Christopher Webber, Brit Insurance, investigates empirical signals of intra-annual dispersion in hurricane landfalls, at various spatial scales throughout the Gulf of Mexico. Webber leverages the discussion to hypothesise potential mechanisms to explain the results of this study and emphasises the importance of further work to explain the mechanisms driving the results presented in this study, with context to an insurance risk carrier.
In this article, authors Elizabeth Galloway, Ashleigh Massam, James Allard, Philip Oldam, Georgios Sarailidis, Jennifer Catto, Celine Germond-Duret and Paul Young show how catastrophe models can be used to calculate types of losses and damages beyond their insurance industry uses.
In this article, authors Ed Pope and Sam Phibbs show the impacts of further warming of the climate to 2°C above pre-industrial temperatures on hurricanes and their associated insured losses.
The authors employ the Columbia Hazard model (CHAZ) to characterise future tropical cyclone (TC) activity under the shared socioeconomic pathways (SSP) SSP2-4.5, SSP3-7.0, and SSP5-8.5 by downscaling 12 models that participated in the Coupled Climate Model Intercomparison Project’s sixth generation (CMIP6), focusing on the Western North Pacific (WNP) and North Atlantic (ATL) basins.
Various studies have given projections for how frequencies of tropical cyclones (TCs) might change under climate change. In this study, we combine a set of such projections with uncertain estimates of frequencies of tropical cyclones in a baseline climate to produce probabilistic projections of tropical cyclone frequencies for the next 50 years.
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