Global Event Response Services
Benefit from the catastrophe modeling industry’s most comprehensive and continuous Event Response service.
Respond More Rapidly This Hurricane Season
For a limited time only, get near real-time information so you can meet the decision-making and reporting needs of all your stakeholders.
Committed to Live Risk Assessment
Building on a 20-year track record, the dedicated RMS Event Response team monitors real-time catastrophes daily to provide clients with information and products to assess the potential impact on their own portfolios.
24/7 Live Monitoring
The only catastrophe modeling firm to invest in around-the-clock operational support.
Custom Event Reconstructions
Benefit from real-time observations fed into the same engines that build our peril models, ensuring compatibility with the RMS view of risk.
Boots on the Ground
Count on engineers deployed into the field to gather key insights and crucial information that are used to inform the highest quality depiction of real-time events.
Standard Event Response
RMS clients receive standard event response products and services with their model licenses through our client portal.
Spotlight
Model Development Puts RMS Ahead of the Storm
“RMS employed key personnel in the field prior to a large event happening. By doing that work before the wind blew, it gave us confidence in the industry that when loss estimates were issued, that there was a range of confidence that we could feel good about.”
Related Products
Learn More
Levels of RMS Event Response
RMS monitors events seven days a week, and as part of this monitoring, evaluates and responds to events based on predefined thresholds. At each of the five levels of response, we release additional types of information and products to clients. Activation of these levels depends on the magnitude or size of the event, the peril and region impacted, and the severity of the damage.
Hurricane Maria (2017)
Our years of studying the Puerto Rican market and building inventory enabled us to correctly capture the local risk profile and its vulnerability, both of which were missing from other market loss estimates of Hurricane Maria.
RMS overcame failures in weather observation systems during high winds through the comprehensive HWind network. We were the only modeling firm to visit the island so near to the storm’s occurrence and this provided quick and powerful validation of our modeled damage.
Typhoons Faxai and Hagibis (2019)
The Japan typhoons of 2019 again demonstrated RMS’ commitment to post-event reconnaissance. Two missions were carried out in the days following Faxai: the first examined wind damage in Chiba Prefecture and the second visited wind and coastal flood damage in Kanagawa Prefecture. RMS reconnaissance teams were on the ground within a week of Hagibis’ landfall, investigating the magnitude of the flooding and the resulting damage.
Resources
RMS and MICROSOFT® Event Response
A Look Back at the Data Driven Tools Used for Harvey, Irma, and Maria
Typhoon Faxai: Walking in Its Tracks
Typhoon Faxai was the strongest landfalling typhoon to impact the Greater Tokyo area since Typhoon Ma-on in 2004. Making two landfalls as it traveled across the Tokyo Bay, Faxai made a brief landfall over the Miura Peninsula, Kanagawa prefecture in the Kanto region of Japan, just 35 miles (57 kilometers) south-southwest of Tokyo early morning local time on Monday, September 9. It then tracked northeast to make a second landfall over the city of Chiba (pop. …
Hurricane Michael Field Reconnaissance: Contrasting Performance of Structures at Design Wind Speeds
Peter Datin, Director, Model Development, RMS Derek Stedman, Lead Modeler, RMS Holly Widen, Product Manager, RMS Introduction Hurricane Michael made landfall in the Florida Panhandle near Mexico Beach on October 10, 2018, as the strongest hurricane (by wind speed) to impact the area in recorded history. As a strong category 4 hurricane, Michael’s wind speeds were at or above the design-level wind speeds for this area specified by ASCE…
Hurricane Florence: Field Reconnaissance Findings
Introduction After a major hurricane or a similar natural disaster, RMS routinely sends modelers and engineers into the affected region to survey the destruction. This field reconnaissance in the immediate aftermath of an event serves several purposes: Provides an indication of the most prevalent type of damage (e.g. shingle loss, structural failures, flooded contents, etc.) Provides an indication of the general frequency (e.g. one in five homes have…
Wine Country Wildfires: Reconnaissance and Loss Estimate Update
Kevin Van Leer, senior product manager – Model Product Management, RMS 19:00 UTC Friday, October 27 Figure 1: A door frame of a destroyed home overlooks another neighborhood affected by the Wine Country wildfires (Image credit: RMS) Accompanied by a CAL FIRE escort, on Monday, October 23, RMS reconnaissance experts visited areas affected by the Wine Country wildfires, with a focus primarily on the Tubbs Fire which caused destruction across the…
Hurricane Maria: The Importance of Local Knowledge
As is usual in the weeks following a hurricane’s impact on land, much of the focus surrounding Hurricane Maria has now shifted away from estimating losses with models to surveying the actual damage and claims incurred. With the collection of claims and losses, evaluating the array of loss estimates published by catastrophe model vendors in Maria’s immediate aftermath will begin. Included in this array is the RMS best estimate of insured loss, a range between US…
Puebla Earthquake: New Insights from RMS Reconnaissance
On September 19, the Mw7.1 “Puebla” earthquake struck Mexico City and surrounding states, causing the most fatalities (369) and damage of any temblor since the Michoacán event in 1985. The Mexican government has not yet published overall economic or insured loss tallies, but six days after the earthquake RMS publicly released an estimate of economic property losses between US$4 billion to US$8 billion and no more than US$1.2 billion in…
Get Real-Time Event Insights at Your Fingertips
