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

Our catastrophe models

Fathom-UK CAT

A first for accurately quantifying present and future flood losses.

Fathom-US CAT

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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Omaha Spring 2019

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Relevant research

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Read More
Scatter graph comparison of in land flood models - Dr Oliver Wing research
New 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. 

01/25/2023
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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.

01/19/2023
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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
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Research Paper

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. 

08/25/2022
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Global map
Research Paper

Ambitious partnership needed for reliable climate prediction

  • Slingo, J.,
  • Bates, P.,
  • Bauer, P.,
  • Belcher, S.,
  • Palmer, T.,
  • Stephens, G.,
  • Stevens, B.,
  • Stocker, T.,
  • Teutsch, G.

In this paper, researchers state that an improved climate model with higher detail and more precise information is needed urgently  to enable us to make reliable decisions around climate adaptation.

06/17/2022

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.