The Data Behind Flood Factor
Flood Factor uses the First Street Foundation Flood Model to find flood risks across the United States.
The First Street Foundation Flood Model is a nationwide, probabilistic flood model that shows any location’s risk of flooding from rain, rivers, tides, and storm surge. It builds off of decades of peer-reviewed research and forecasts how flood risks will change over time due to changes in the environment.
* Risk is calculated as inundation of 1 cm or more to the building in the 500 return period (0.2% annual risk). Basemap imagery © CARTO.
Providing full flood risk analysis.
To provide a 360˚ view of flood risk, the model has recreated many major U.S. floods and generated full coverage, high-resolution flood maps projecting current and future risks for more than 142 million properties across the contiguous 48 states. It additionally provides Federal Emergency Management Agency (FEMA) flood zone information for properties, as well as aggregated analyses of neighborhoods, zip codes, cities, counties, and states.
Toledo, Ohio: Past flood in 2015, current 1 in 500 year flood, and 1 in 500 year flood in 30 years. Basemap imagery © Mapbox
Analyzing all major flood types.
The First Street Foundation Flood Model considers a location’s risk of flooding from high intensity rainfall, overflowing rivers and streams, high tides, and coastal storm surge. Because these different flood types are often interconnected, they are first analyzed independently, then “coupled” together to create one, unified flood risk model.
High intensity rainfall causes flooding when an area’s sewage system and draining canals lack the necessary capacity to drain away the amount of rain that falls.
Urban areas are particularly susceptible because there is little open soil that can store water.
Calculating and mapping flood probabilities.
The First Street Foundation Flood Model is a probabilistic flood model, which means it considers uncertainty and outputs a distribution of likelihoods. It first asks the question: “what is the likelihood of a flood occurring within a given year?” Based on a location’s history and geographic information (such as elevation, climate, proximity to water, and adaptation measures), the model creates a range of probabilities, known as “return periods.”
The model then analyzes select probabilities (0.2%, 1%, 10%, 20%, 50%) to create “hazard layers,” which show where and how deep flooding could occur for each probability. This allows First Street Foundation to not only calculate, but actually map flood risks for different probabilities within a given year.
Flood likelihood Today
A 50% (1/2) annual chance of flooding is about as likely as a flipped coin landing on tails.
Depth of flooding (feet)
Basemap imagery © Mapbox
Determining future flood risks.
The inclusion of environmental changes that impact flood risks, such as sea level rise and precipitation patterns, is an essential trademark of the First Street Flood Model. Using 1980-2010 as a baseline period, the model analyzes multiple environmental possibilities under the RCP 4.5 carbon emissions scenario with high and low uncertainty bounds. The resulting high, median, and low environmental scenarios are then used as inputs when calculating current and future flood risks to show how flood risks will change in fifteen and in thirty years.
IPCC Representative Concentration Pathways
Simplifying flood risks.
Because the First Street Foundation Flood Model can calculate a flood depth for any probability, it can also determine the likelihood of a flood reaching a minimum depth in a given year, known as an annual flood likelihood. A property’s annual flood likelihood for a specific depth in 15 or 30 years may differ from its annual likelihood this year because of changes in the environment.
Relationship between flood depth and likelihood
Flood risks do not occur on an annual basis, but rather accumulate over time. To simplify this, the First Street Foundation Flood Model also calculates a cumulative flood likelihood, which shows the likelihood of flooding to a certain depth at least once over 15 or 30 years. For instance, if a home has a 1% annual flood likelihood (also know as a 100-year flood risk), that home has a 26% chance of flooding at least once over 30 years.
Scoring system for properties.
To simplify flood risks even further, the First Street Foundation Flood Model also calculates a property’s Flood Factor. Flood Factor scores increase as the 30-year cumulative flood likelihood increases, or as the projected depth of flooding increases. Properties with higher Flood Factors are either more likely to flood, are more likely to flood, are more likely to experience high floods, or both.
Flood Factor Matrix
While it is still possible for properties with a Flood Factor of 1 (minimal) to flood, they are not included in the Flood Factor matrix. These properties have a less than 0.2% chance of flood water reaching the building in every analyzed year.
Ensuring scientific accuracy.
The creation of the First Street Foundation Flood Model required an unprecedented partnership of more than 80 world-renowned scientists, technologists and analysts. The data the model produces undergoes multiple reviews and must pass comprehensive check-points before being made publicly available.
- Where possible, data has been validated against historic flood reports and government flood claims.
- In developing its flood model, First Street Foundation created the first national adaptation database, including more than 40 different adaptation types, which is used to both inform and validate flood projections.
- All methods used by the First Street Foundation Flood Model have undergone an expert academic panel review and have been submitted to scientific peer-review journals.
Continuously improving over time.
First Street Foundation has made its flood model’s full technical methodology available to the public because it supports scientific collaboration and data transparency. The First Street Foundation Flood Model will continue to incorporate feedback and expand its model over time, including an annual data update.
Since its release in June 2020, Flood Factor has continued to improve its data quality and site experience. As new data and model improvements become available, some properties may see changes in their flood risks.
September 2020 Release Highlights:
- Millions of new properties analyzed and added
- More coastal cities and counties with bi-annual flood projections (50% annual chance), and cleaner coastal flood layers
- Local Flood Factor score maps are now viewable on property pages
Why are flood risk increasing?
A changing environment means higher seas, new weather patterns, and stronger storms.
What can be done to stop flooding?
Although flood risk can never be completely eliminated, there are a wide range of flood protection measures that reduce risk.
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