Winter Storm

A combination of snow, ice, freeze, and wind sub-perils can accumulate to drive billions of dollars in insured losses. Understanding loss correlation across perils helps us prepare.

- Jeff Waters, meteorologist and Manager of Model Product Strategy


Understanding Winter Storm Risk: Taking a Holistic View of Changing Patterns in North America

Winter storms bring snow, ice, freezing temperatures, and fierce winds to the United States and Canada, causing in insurance losses every year.

Our methodology helps you assess potential losses so you can price, structure, and underwrite multi-peril risk and identifies

U.S. and Canada cross-border risk correlation to assist with accumulation management and portfolio growth strategies.

A more holistic view of winter storm risk informs effective risk management decisions. RMS uses a hybrid approach to modeling winter storm risk, combining the strengths of four-dimensional numerical weather modeling with statistical analysis of historical events. This provides you with a view of winter storm risk that represents more than 30,000 years of activity.

Understand Accumulated Impacts

RMS North America Winter Storm ModelsTM capture the impacts of accumulated loss. Understanding these impacts are crucial as violent storms can be part of a longer period of wet, windy weather, during which properties may be affected by more than one source of loss. Reinsurance treaties can be particularly affected.

Explicit, Multi-Peril Modeling

Losses from snow, ice, freezing temperatures, and extra-tropical winds are modeled explicitly so that the impacts of these sub-perils can be split out, enabling you to assess losses, drivers, and contributions of winter storm risk combinations.

Tested and Validated

The RMS North America Winter storm hazard component has been validated against a number of climate data sources, including the NOAA National Weather Service, the Midwest Climate Center, and the Meteorological Service of Canada, Vulnerability functions functions have also been validated using detailed historical loss data, with third-party experts and detailed engineering studies.