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The #1 Natural Disaster

As the #1 natural disaster in the United States1 with annual economic loss increasingly exceeding billions of U.S. dollars, flooding represents a significant under-insured risk in the United States. As the market explores diversifying and growing business with flood products, our highly granular loss models address the management of a peril where the amount of damage is influenced by water flood depths measured in inches.

The CoreLogic® U.S. Inland Flood Model provides a granular, up-to-date, detailed risk model. Allied with parcel- and building-level geocoding from PxPoint™, the release of this probabilistic model empowers the industry to appropriately and rationally estimate risk to obtain better business outcomes.

CoreLogic Insurance US Inland Flood

Stay Out of Hot Water

Damaging floods are very disruptive and come in many different forms. The U.S. Inland Flood Model includes sources of flooding from riverine, stream, off-plain, and flash flooding. It delivers a comprehensive analytic view of the risk, utilizing widespread coverage of hydrologic and hydraulic data that reflects regional flooding and drainage patterns.

In addition to a robust treatment of flood hazard (probability of water depth and velocity at a site), it also includes a detailed treatment of structure, contents and time element vulnerability and utilizes the RQE® (Risk Quantification & Engineering) high resolution financial and simulation modeling.

Completing the suite of CoreLogic probabilistic flood models, 10-meter resolution coastal storm surge modeling is available as part of the North Atlantic Hurricane Model. A combined view of both surge and inland flood model results is easily available through reporting in the RQE platform as well as via consulting services.

The Right Solution for Better Damage Assessment

  • 10m or finer resolution digital elevation models
  • High resolution hazard (down to 0.3m)
  • Treatment of detailed property characteristics critical for flood
  • Parcel and building level geocoding
  • 6 million miles of river networks
  • 300,000 simulations – critical for excess flood policies
  • 3-D vulnerability modeling (depth and velocity)

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