Fathom’s catastrophe models Our catastrophe models represent tens of thousands of years of synthetic flood events. Used primarily by the insurance and corporate sectors, these sophisticated risk prediction tools are able to model losses, from both frequent and extreme flood events, to build a complete picture of flood risk for a given portfolio of locations
Financial losses driven by extreme flood events are increasing annually. In a report published by Swiss Re, the reinsurance company identified a combined economic loss of more than $80 billion in 2021. Of these losses only $20 billion were insured. For professionals looking to quantify and manage flood and catastrophe risk, Fathom offers a range of synthetic flood models, that can help to provide efficient solutions to managing risk and engage with regulatory requirements towards climate risk. This includes a range of climate conditioned catastrophe models that can calculate changes in risk for a variety of time horizons.
Quote Fathom is an innovative and dynamic organisation at the forefront of flood risk research. They offer a range of specialist modelling tools and use a clear and impressive methodology.Read Case Study
Quote Fathom provided a first-rate product and service based upon cutting-edge research and methodologies, which are both robust and transparent. Their flood data sets are global, consistent and high calibre. Most importantly, Fathom is a responsive and collaborative firm who consistently deliver.Read Case Study
A climate conditioned catastrophe risk model for UK flooding
New research from Bates et al. describes the creation of a transparent flood model for the UK that simulates pluvial, fluvial and coastal flood risks for 10 different return periods.
Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps
New research from Gutenson, J. L. and others, including Fathom’s Chief Research Officer Dr Oliver Wing, compares the estimated impact and exposure to flooding generated by different event-based flood inundation maps.
Use of hydrological models in global stochastic flood modeling
An investigation into the effectiveness of using synthetic gauge data from global hydrological models as input data for global stochastic modeling.
Uneven burden of urban flooding
Who floods? A commentary on the uneven burden of urban flooding in Nature Sustainability.
Urbanizing the floodplain: global changes of imperviousness in flood-prone areas
Are floodplains becoming more built on over time? Using new global satellite data, Kostas Andreadis in this paper shows floodplain urbanization has almost doubled since 1985.
Social inequalities in climate change-attributed impacts of Hurricane Harvey
This research uses attribution science to examine the influence that climate change had on the damage caused by Hurricane Harvey in 2017.