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.

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-Global 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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New 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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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
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Research Paper

Assessing flooding impact to riverine bridges: an integrated analysis

  • Pregnolato, M.,
  • Winter, A.,
  • Mascarenas, D.,
  • Sen, A.,
  • Bates, P.,
  • Motley, M.

This paper establishes new modelling approaches for the design and assessment of transportation and water systems with the aim to understand the consequences of flooding on urban networks.

05/26/2022
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Research Paper

Increased population exposure to Amphan-scale cyclones under future climates

In 2020 Cyclone Amphan made landfall in the Bay of Bengal and was the first super tropical cyclonic storm to occur in the area in over 20 years. This paper explores what would happen if this event were to occur in the future, asking: would the risks associated with it change?

05/08/2022
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Research Paper

A 30 m global map of elevation with forests and buildings removed

This work signifies one of the biggest step-changes in global flood modelling capabilities since the advent of the field.

02/04/2022
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Research Paper

Inequitable patterns of US flood risk in the Anthropocene

Climate change will have major impact on cost of flooding, according to pioneering research led by Dr Oliver Wing, Chief Research Officer at Fathom

02/01/2022

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.