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RMS recently spoke at the RAA's Catastrophe Modeling conference in Orlando, discussing U.S. flood risk, specifically about flood modeling, recent successes and future progress to improving the state of flood modeling.
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Risk on the Rise: Counting the Cost of Inland FloodingRMS
How can you estimate the potential cost of inland flooding?
Stay on top of inland flood risks with a deeper understanding of vulnerability and hazard.
RMS' Dr. Robert Muir-Wood and Dr. Navin Peiris delve into the challenges of reconstructing inland flood events in real time and modeling the vulnerability of the affected properties.
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Coastal areas are some of the most developed or developing environments across the globe. These regions contain significant accumulations of exposure and are vulnerable to substantial flood hazard. A comprehensive understanding of those exposures, and the complex hazards that can impact them, is imperative to better manage your flood business.
In this webinar, RMS' Dr. Robert Muir-Wood and Juergen Grieser take an in-depth look at coastal flood risk.
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- Avoid “personal” catastrophe events
- Identify unique opportunities for your business
- Interact more productively with regulators and rating agencies
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Robert Muir-Wood, Chief Research Officer at RMS, shares his research and insight into natural catastrophes in Southeast Asia, and the complex issue of modeling insured exposures in the region.
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Dr. Eric Robinson is a Senior Scientist, Manager in AIR’s Research and Modeling Department. Prior to AIR, Eric studied at Purdue University, where he designed, tested, and implemented a new technique for identifying severe weather events in numerical weather predicitions models using artificial neural networks. He also participated in the VORTEX2 field project as part of the Center for Severe Weather Research (CSWR) tornado pod deployment team. He is currently responsible for supervising the worldwide development of AIR's Extratropical Cyclone and Severe Thunderstorm models.
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Broadwind Energy produces towers for wind turbines and gears for energy and industrial applications. It has manufacturing plants in Wisconsin and Texas that can produce up to 500 towers per year. In 2015, tower production suffered from supply chain issues but improvements are being implemented. Broadwind also has a long history of gear production for industries such as wind, oil and gas, and mining. The presentation provides an overview of Broadwind's financial performance and outlook for growth in the wind energy market.
This document discusses Owens Corning's Roofing and Asphalt business. It notes that the business operates in a $10 billion residential roofing market, has a leading brand, and generates mid-teen operating margins on average. The business has experienced weaker market conditions recently but expects modest growth going forward, driven by components which are growing at attractive margins. It also has a national manufacturing footprint and differentiates itself through products, material science expertise, and a strong distribution network.
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This document summarizes a $500 million catastrophe bond issued by FloodSmart Re Ltd. to provide reinsurance to the Federal Emergency Management Agency (FEMA) and the National Flood Insurance Program (NFIP) it administers. The bond has an indemnity trigger and covers flood losses from named storms over a three year period in the United States. Payouts are determined based on actual flood losses to the NFIP as assessed by modeling firm KatRisk. This represents the largest catastrophe bond ever issued to provide reinsurance to a government entity for flood risk.
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Have a (Re)/Insurance contract you think can't be modeled in RMS's Contract Definition Language, CDL?
Challenge RMS to model any re/insurance contract in RMS's Contract Definition Language by hashtagging #StumpStumpo on twitter.
http://ow.ly/wgP0B
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Boston’s New Big Dig: How does U.S. winter storm risk impact your portfolio?
1. BOSTON’S NEW BIG DIG: HOW
DOES U.S. WINTER STORM RISK
IMPACT YOUR PORTFOLIO
Robert Muir-Wood, Chief Research Officer
Matt Nielsen, Senior Director, Global Governmental and Regulatory Affairs
Jeff Waters, Manager, Model Product Strategy
Lloyd Dixon. His expertise includes insurance, compensation, and liability issues. He has also been lead investigator of a number of studies addressing environmental and natural resource issues. Recent studies include analysis of the wind and flood insurance markets, asbestos litigation, the California workers' compensation insurance market, and the contribution of hedge funds to systemic financial risk. Dixon received his B.S. in general engineering and B.A. in political science from Stanford University and his Ph.D. in economics from the University of California, Berkeley.
Dr. Gordon Woo is the chief architect of the RMS terrorism risk model. For his development efforts on the model he was named one of the 100 most influential people in finance by Treasury & Risk magazine. He is a regular lecturer on terrorism risk at the NATO Center of Excellence for the Defense against Terrorism in Ankara, Turkey. In September 2013, he testified before Congress on the applications of terrorism risk modeling. Dr. Woo is the author of the book, 'Calculating Catastrophe', which was published for the 10th anniversary of 9/11.
2014
Not nearly as many records broken – not unusual from a severity standpoint
What was unusual was the persistence of below normal and well-below temperatures during this period
February 2015
23 states had top 10 coldest Februaries
Coldest Feb. on record for Buffalo, Cleveland and Chicago
Snowiest month on record for Boston (64.8”)
2015
Boston breaks the all-time snowfall record of XXXX, receiving over 118” of snow
It’s all relative though
Globally, the only record cold temperature anomaly was centered over the great lakes
Although most of the eastern N. America experienced below average, must of the globe experienced temps that were near or above average from Dec. 2013 – Feb. 2014
8th warmest global temp on record
Damages
Wind, roof collapse due to snow/ice, frozen pipes, flooding from snowmelt, auto damages due to fallen trees, BI
December 2013-March 2014
Ridging near the west coast of North America leading to a deep trough from Northern Canada into the central and eastern states
Allowed for arctic air to be transported south into the central and eastern U.S., particularly in the northern parts of the midwest/great plains (MI, MN, WI, ND)
Ridge was deepest over Ontario and the Upper Great Lakes
ENSO
Neutral ENSO conditions make parts of the eastern U.S. more susceptible to high-latitude blocking. Caused by ridging over greenland (-NAO) or similar blocking along the west coast of north America (+PNA)
Separated from warm air via the polar jet stream
Its location and movement depends on strength of winds and jet stream
December 2013-March 2014
Ridging near the west coast of North America leading to a deep trough from Northern Canada into the central and eastern states
Allowed for arctic air to be transported south into the central and eastern U.S., particularly in the northern parts of the midwest/great plains (MI, MN, WI, ND)
Ridge was deepest over Ontario and the Upper Great Lakes
ENSO
Neutral ENSO conditions make parts of the eastern U.S. more susceptible to high-latitude blocking. Caused by ridging over greenland (-NAO) or similar blocking along the west coast of north America (+PNA)
The black line shows the running 5-year average since 1983
Were winters more extreme then? Or is the industry better prepared?
While not listed here, the 1998 Ice Storm caused over $3 BN in loss to Canada
US ILC RPs
1983 Freeze – 57
1993 SotC – 22
1985 Freeze – 10
1989 Freeze – 9
1994 Winterstorm – 9
1992 Nor’easter – 8
1996 Ohio Valley – 5
2014 Polar Vortex – 5