Birds eye view of flooded houses

For smarter decisions, safer spaces and resilient communities

The changing nature of global flooding is putting more communities at risk – some who previously had little exposure, some who have barely recovered from the previous inundation. Society’s approach to disaster preparedness is embryonic in comparison to its established frameworks of infrastructure expansion.

The nature of the engineering lifecycle; to quantify demand, prioritise options and deliver lasting positive change, lends itself to a clear understanding of drivers and risks. When it comes to flooding, to date engineers have had to rely on a patchwork of off the shelf flood hazard data, or too often, develop a highly detailed local flood model. The former has blind spots and varying methodologies, which, as a consequence, introduces errors and uncertainties. The latter has a price and time impact that contributes to delays, cost overruns and an unequal distribution of flood readiness globally.

This report demonstrates how Fathom’s Global Flood Map can strengthen engineers’ understanding of flood risk through scientifically reputable and consistent data. It explains the scientific underpinnings of Global Flood Map and presents use cases to illustrate its practical applications and benefits for protecting existing infrastructure and planning the future built and natural environment.

White paper

Download the white paper

Download the white paper to discover more about Fathom’s Global Flood Map.

You will learn:

  • The methodology behind our flood maps
  • Product specifications
  • Different use cases for the engineering industry
  • How to access our Global Flood Map

Submit your details

The report explores how Global Flood Map can benefit


Digital teams


Climate Specialists


Water engineers

Engineering use cases webinar

In our recent webinar Fathom’s Dr Andrew Smith, Dr Matthew Jones and Gavin Lewis explore the use cases for the Global Flood Map as well as uncovering the science behind how Fathom creates these models at a global scale.