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.

Products

Fathom’s catastrophe models

UK Catastrophe Model

A first for accurately quantifying present and future flood losses.

US Catastrophe Model

The first fully peer-reviewed and validated flood catastrophe model.

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Canopius logo
Marek Shafer Canopius Head of Catastrophe Management

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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Paul McEwan Sompo International Global Risk Analytics Director

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.

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Discover how Fathom’s catastrophe models are made, and the methods and datasets that go into building them.

Omaha Spring 2019

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Relevant research

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Read more
New Research paper

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.

03/07/2023
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Caravan dataset research
Research paper

Caravan – A global community dataset for large-sample hydrology

  • Kratzert, F.,
  • Nearing, G.,
  • Addor, N.,
  • Erickson, T.,
  • Gauch, M.,
  • Gilon, O.,
  • Gudmundsson, L.,
  • Hassidim, A.,
  • Klotz, D.,
  • Nevo, S.,
  • Shalev, G.,
  • Matias, Y.

Published in the peer-reviewed journal Scientific Data, the paper outlines the team’s vision for Caravan to expand, evolve and provide “the most direct path” to a truly open global hydrological dataset.

01/31/2023
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Scatter graph comparison of in land flood models - Dr Oliver Wing research
Research paper

Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps

  • Gutenson, J.,
  • Tavakoly, A.,
  • Islam, M.,
  • Wing, O.,
  • Lehman, W.,
  • Hamilton, C.,
  • Wahl, M.,
  • Massey, T.

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. 

01/20/2023
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Research paper

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.

12/13/2022
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Research paper

Uneven burden of urban flooding

Who floods? A commentary on the uneven burden of urban flooding in Nature Sustainability.

10/31/2022
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Research paper

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.

10/20/2022

Partners

Nasdaq’s Risk Modelling for Catastrophes is the first independent multi-vendor catastrophe risk modelling platform for the re/insurance industry.
A global provider of strategic operations support, including consultancy, managed services, data sciences, and technology across the entire insurance lifecycle.
Oasis Loss Modelling Framework is the first open source platform for catastrophe modelling.
Nasdaq’s Risk Modelling for Catastrophes is the first independent multi-vendor catastrophe risk modelling platform for the re/insurance industry.
A global provider of strategic operations support, including consultancy, managed services, data sciences, and technology across the entire insurance lifecycle.
Oasis Loss Modelling Framework is the first open source platform for catastrophe modelling.

Want to learn more about our catastrophe models? Get in touch.