The AIR Inland Flood Model for the United States is the most detailed probabilistic model available for assessing and managing inland flood risk. The AIR model explicitly models both on- and off-floodplain losses; features a component-based approach to estimate the vulnerability of buildings and their contents for all lines of business; supports primary risk characteristics and 10 secondary modifiers; and identifies separate flood occurrences spatially and temporally to reflect the physical properties of a flood while accommodating a 168-hour clause. The AIR model also helps establish a currency for understanding and quantifying risk in insurance and reinsurance transactions.

This brochure provides an introduction to the AIR Inland Flood Model for Great Britain. Covering both on- and off-floodplain risk and leveraging AIR’s experience with numerical weather prediction, this innovative model meets the risk management needs of companies pricing and underwriting this complex peril.

This issue brief helps you utilize the AIR U.S. inland flood model and better understand the results the model produces. It describes best practices for using and evaluating this tool and identifies the critical inputs needed to obtain reliable modeled loss output.

This brochure provides an overview of the AIR Inland Flood Model for Japan. The model captures the risk of flooding caused by systems other than tropical cyclones, which accounts for about 40% of all insured flood losses in Japan.

The 2019 Indian Monsoon Floods white paper demonstrates how AIR's probabilistic India flood hazard maps help prepare for this risk.

The use of secondary risk characteristics can have a major impact on modeled losses for the AIR Inland Flood Model for the United States. This document describes the secondary risk characteristics that Touchstone supports for this model.

AIR-modelled average annual insured loss from inland flooding GBP 550M two-thirds of which is residential. 14% 30% 32% Average Annual Loss 1.0% 0.5% Exceedance Probability +4C Current Conditions Second wettest summer in recorded history Wettest April, record-breaking June, wettest summer in recorded history Wettest win

Palomar sought a way to provide flood insurance that was affordable, profitable, and actuarially sound. With AIR, they found a modeling solution they could rely on to help them price the risk and set appropriate premiums.

The AIR Inland Flood Model for Central Europe is the industry¹s first to account for intra-country correlation of flooding using a joined physical modeling domain. It explicitly models on- and off-floodplain losses in Austria, Czech Republic, Germany, and Switzerland; accounts for flood defenses and supports custom flood defenses; features a component-based approach to damage estimation for commercial buildings; and supports the evaluation of reinsurance contracts incorporating a 504 hours clause.

Findings from AIR's Kerala floods damage survey underscored how the AIR probabilistic India flood hazard maps can help insurers prepare for this risk.