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.
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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 StudyDiscover how Fathom’s catastrophe models are made, and the methods and datasets that go into building them.
Relevant research
Using UNSEEN approach to attribute regional UK winter rainfall extremes
New research uses the UNSEEN climate modelling approach to ask whether increasingly intense daily rainfall is due to climate change.
Fundamental limits to flood inundation modeling
In this article, Fathom’s Chairman Professor Paul Bates explores the limits to flood inundation modeling, and explains why it’s still difficult to accurately predict flood hazards at the scale of individual buildings.
Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent
For the first time, researchers have applied the global hydrological model (GHM) PCR-GLOBWB at 1 km spatial resolution over the entire European continent.
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.
Co-occurring wintertime flooding and extreme wind over Europe, from daily to seasonal timescales
Why and when do floods and extreme wind occur together? Will climate change make this happen more frequently? This research sets out to understand the correlations between flood and wind extremes and the impact they have on risk.
Bare-earth DEM generation from ArcticDEM and its use in flood simulation
New research tests ways to generate bare-earth data from ArcticDEM, one of the next-generation digital elevation models that could become an alternative to radar-based DEMs.
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