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🌊 '''Flood model''' is a computational framework used by [[Definition:Insurance carrier | insurance carriers]], [[Definition:Reinsurance | reinsurers]], and [[Definition:Catastrophe modeling | catastrophe modeling]] firms to simulate the likelihood, severity, and geographic extent of flood events for the purpose of quantifying [[Definition:Insured loss | insured losses]]. These models integrate hydrological, meteorological, and topographical data — including river gauge readings, rainfall patterns, elevation maps, and soil saturation levels — to estimate how floodwaters will behave under a range of scenarios. Unlike simpler [[Definition:Rating model | rating models]] that rely on historical averages, flood models attempt to capture the physics of water movement, making them especially valuable for pricing [[Definition:Flood insurance | flood insurance]] in areas where loss history is sparse or where climate conditions are shifting.

⚙️ A typical flood model operates through a chain of interconnected modules. The hazard module generates thousands of synthetic flood events, each reflecting plausible combinations of precipitation, snowmelt, storm surge, or riverine overflow. The vulnerability module then applies [[Definition:Damage function | damage functions]] to estimate the physical destruction each event would inflict on different building types and contents. Finally, the financial module overlays [[Definition:Policy terms and conditions | policy terms]], [[Definition:Deductible | deductibles]], and [[Definition:Coverage limit | coverage limits]] to translate physical damage into dollar-denominated [[Definition:Loss estimate | loss estimates]]. Vendors such as KatRisk, Fathom, and modules within RMS and AIR supply these models to the market, and insurers often blend outputs from multiple vendors to reduce [[Definition:Model risk | model risk]].

📈 Accurate flood modeling has become a strategic imperative as [[Definition:Climate risk | climate change]] alters precipitation patterns and drives more properties into harm's way. Regulators, [[Definition:Rating agency | rating agencies]], and [[Definition:Reinsurance broker | reinsurance brokers]] increasingly expect carriers to demonstrate that their [[Definition:Underwriting | underwriting]] decisions rest on credible, granular flood analytics rather than outdated FEMA flood zone designations alone. Insurers that invest in superior flood models gain a [[Definition:Competitive advantage | competitive advantage]] in portfolio selection — they can identify mispriced risks, avoid adverse selection, and structure [[Definition:Reinsurance program | reinsurance programs]] that accurately reflect their true [[Definition:Probable maximum loss (PML) | probable maximum loss]].

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Catastrophe model]]
* [[Definition:Flood insurance]]
* [[Definition:Flood risk modeling]]
* [[Definition:Storm surge model]]
* [[Definition:Probable maximum loss (PML)]]
* [[Definition:Climate risk]]
{{Div col end}}

Definition:Flood model - Revision history

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