Research Article

In this paper, authors Neil Aellen, Swiss Re, Andreas Prein, Institute of Atmospheric and Climate Science, and Elisabeth Viktor, Swiss Re, synthesise current evidence on historical trends and future changes in the principal severe convective storms (SCS) sub-perils relevant for catastrophe modelling: hail, tornadoes, damaging straight-line winds including derechos, and SCS-related extreme precipitation.

In this article, authors Balaji Mani, Thomas Loridan, Nicolas Bruneau, Nic Hannah, and David Schmid, Reask, introduce “Metryc”, a probabilistic modelling system designed to capture the distribution of spatial wind risk at landfall in terms of local-scale wind gusts.

In this paper, authors Juner Liu, ETH Zurich and Schroders Capital; Carmen B. Steinmann and David N. Bresch, ETH Zurich; Simona Meiler, Stanford University; Ulrike Lohmann, ETH Zurich; and Benjamin Hohermuth, Schroders Capital, present a simplified tropical cyclone model to estimate climate-connected landfall rate changes for North Atlantic hurricanes.

In this article, authors Ruth Petrie, Dongwon Han, Ludovico Nicotina, Adam Alvarez, and Tyler Cox (Inigo) present a frequency-aware quantile mapping (FAQM) approach for assessing climate change impacts in hurricane catastrophe models.

Editorial Note: The authors have alerted the Journal to data and methodological errors. The paper is currently undergoing post-publication peer review to assess a major correction.

In this article, authors Jesse Gourevitch Environmental Defense Fund, Max Snyder University of California, and Carolyn Kousky Environmental Defense Fund, explore the effects of risk-based pricing reform on flood insurance uptake.

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.