Fathom’s Product Stack
Welcome to Fathom’s Product Stack. Fathom has designed the most sophisticated flood risk portfolio available to date.
It allows you to reveal the complexities of flood modeling and explore the features, components and methodologies that constitute our flood hazard and catastrophe models.
By exploring Fathom’s Product Stack you can expand your understanding of the methods that have led to the formation of Fathom’s products. Delve deep into our offerings, gain insight into our diverse range of geospatial data and risk tools, and uncover a wealth of information that will help you to leverage the full potential of Fathom’s portfolio.
All of Fathom’s work begins with the Method Stack.
From the initial research identifying a new feature to the development of a process or automation – the Method Stack serves as the foundation for the exploration, assessment and implementation of ideas and processes.
Although end users may not be directly aware of the method stack, its layers greatly influence their experience of our products and the data within them.
The quality of the terrain data used within a flood model directly affects the overall accuracy of its results.
Our products need a high-resolution, bare-earth digital representation of the Earth’s terrain in order to simulate the flow of water across a 2D grid.
To achieve this, we use a terrain processing methodology to correct and blend digital elevation data, remove surface objects and minimize error or bias.
When simulating water risk globally, how do you characterize the location and properties of every river?
Fathom’s Channel Solver uses computational fluid dynamics to calculate how large a channel needs to be in order to convey a specified flow of water within its banks. The method calculates the appropriate cross sectional area for every point along the river network, solving for depth given that other variables such as width and slope can be observed. This calculation is necessary because the depth of rivers cannot be measured over very large areas using remote sensing techniques.