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Overview of RMS HWind

(Re)insurers, brokers, capital markets, academia, and government agencies rely on HWind products in a variety of use cases (or applications), including real-time event preparation and response, post-event hazard and loss assessments and validation against past experience, and research.

Stay Ahead of the Storm

Understand forecast track, timing, intensity, and uncertainty across multiple forecast scenarios up to 5-days before impact, to inform proactive preparation strategies.

Time-Sensitive Insights

Quantify potential hazard and loss impacts, anticipate likely claims, deploy adjusters effectively, and provide frequent updates for internal and external reporting

Optimize for the Future

Validate historical claims and loss experience for custom or internal views of risk, or improve event response processes for future events.  

HWind Real-Time Analysis

Real-time tropical cyclone data leading up to, during, and following the storm’s passage.


5-day forecast track scenarios, wind and storm surge footprints, and wind probability analytics made available multiple times per day (up to 6x) once an Atlantic tropical cyclone is named


Instantaneous views of the tropical cyclone track and hazard characteristics produced every 6 hours throughout the storm’s life cycle

Cumulative Footprints

Wind field footprint produced on a rolling, cumulative basis every 6 hours over the lifetime of the storm, leveraging all preceding snapshot analyses

Post-Event Footprints

Full wind field footprint and track produced 1-3 days after landfall, based on expert review of all available data used during and after the event

HWind Enhanced Archive

A catalog of 25+ years of high-resolution images, snapshots, and footprints from historical hurricanes

Same HWind Framework

Informed by the same underlying science as the HWind Real-Time Analysis offerings

Additional Data

Incorporates new, revised, or reprocessed data sources and track information made available after the event

Reduced Uncertainty

Informed by additional analysis iterations to  match observational data  and create the best representation of a storm’s track and hazard profile over time

Continuously Growing

Library is updated annually as new data becomes available and new storms occur


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