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Modeling the Perfect Storm: How Antecedent Condi...
What material difference do antecedent hydrologic conditions make to the severity and losses from flood events? During my recent RMS® Season…
Four Influences on the FEMA 1 Percent Probabilit...
Where did the 1 percent probability flood line (100-year flood), the baseline metric for the U.S. flood insurance market, originate from? Why…
Season of Flood: Flood Risk Is Complex. Managing...
As the world has witnessed, the recent catastrophic flooding, and resulting loss of life and damage across Germany, Belgium, and neighboring…
Introducing RMS Global Flood Solution Suite: Man...
The Global Flood Challenge: Coverage, Complexity, and Precision Whether you are a global (re)insurer or a local primary insurer, building a…
RMS Launches New Zealand Inland Flood HD Model: ...
When thinking about natural disaster risk in New Zealand, what comes to mind is the country’s exposure to earthquakes. This is natural, given…
RMS Models Offer New Probabilistic Approach to S...
The approach of the 10th anniversary of the 2011 Thailand floods, in July, offers a timely reminder of why the insurance market needs to…