Cat Model Roundtable
01/06/09 05:35
Professionals from the largest catastrophe modeling firms talk about some of the most important issues facing the industry, such as data quality and the lessons learned from 2008’s Hurricane Ike.
Participants in the podcast include:
Robert Muir-Wood
Chief Research Officer and Executive Vice President, Science and Technology Research for RMS
Robert heads the branch of RMS responsible for enhancing approaches to natural catastrophe modeling and developing models for new areas of risk such as liability. Based in London, he has more than 20 years’ experience in developing probabilistic catastrophe models and has most recently focused on the clustering of catastrophic events, insurance loss amplification, and “mega” catastrophes. Robert was lead author on Insurance, Finance, and Climate Change for the 2007 Intergovernmental Panel on Climate Change (IPCC) Assessment Report, and is the author of six books, as well as numerous papers and articles in scientific and industry publications. He holds a first class degree in natural sciences and a PhD in Earth Sciences, both from Cambridge University, and was a junior research fellow at Trinity Hall, Cambridge.
Peter S. Dailey,
Ph. D., Assistant Vice President & Director, Atmospheric Science for AIR Worldwide
Dr. Peter Dailey has overseen the development of several of AIR's catastrophe models. AIR Worldwide is a provider of risk modeling software and consulting services to more than 400 insurance, reinsurance, financial, corporate and government clients worldwide. He is also responsible for directing projects and developing innovative decision aids in several key areas, including hazard analysis, real-time loss estimation, and climate impacts for important perils and regions worldwide. While at AIR, Dr. Dailey has presented and published original research on a wide array of topics of importance to the insurance industry including hurricane dynamics, extra-tropical cyclone risk, and the influence of climate change on insured perils worldwide.
Prior to joining AIR in 2001, Dr. Dailey was Principal Meteorologist at Northrup Grumman (formerly TASC). There, he served as technical lead on numerous governmental and commercial modeling projects involving the development of numerical weather prediction technologies. He was also Principal Investigator (PI) on projects aimed at developing operational weather modeling technology for the media—including a modeling system used at The Weather Channel—and led an effort to develop Synthetic Natural Environments for distributed military training simulations.
Dr. Dailey received his M.S and Ph.D. degrees in Meteorology from the University of California, Los Angeles. His background includes research and development of models to simulate complex feedback systems as diverse as the U. S. economy and traffic flow. Dr. Dailey is the author of numerous articles related to the application of Numerical Weather Prediction models, with a particular focus on modeling at regional and local scales.
Thomas Larsen
Senior VP, Product Management Group, EQECAT, Inc.
Thomas Larsen has served as an associate at EQECAT, Inc. and its prior operating companies since 1989. With nearly 20 years experience in natural catastrophe modeling for insurers and government, he is responsible for the strategic direction of the product line for EQECAT, including deciding development of new models and maintenance of existing models. He also oversees the marketing of EQECAT risk decision tools and support.
At EQECAT, Mr. Larsen has played critical roles in the implementation of financial risk calculation packages for EQECAT software USWIND(R) and USQUAKE(R); was part of the team which assessed building damage caused by Hurricane Andrew, in 1992; helped develop windstorm vulnerability functions for private clients; has estimated extreme-risk losses in Iceland for volcanic, earthquake, and extreme wind activities; and participated in various seismic risk estimates for clients with properties in the United States, Puerto Rico, Chile, New Zealand, Australia, and Canada. He also has co-authored numerous reports and articles related to extreme-risk hazards and related computer modeling.
He earned a master of science degree in structural engineering, from the University of California, Berkeley, in 1989, and, a bachelor of science degree in civil engineering, from Stanford University, Palo Alto, California, in 1986.
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Download the Podcast.
Participants in the podcast include:
Robert Muir-Wood
Chief Research Officer and Executive Vice President, Science and Technology Research for RMS
Robert heads the branch of RMS responsible for enhancing approaches to natural catastrophe modeling and developing models for new areas of risk such as liability. Based in London, he has more than 20 years’ experience in developing probabilistic catastrophe models and has most recently focused on the clustering of catastrophic events, insurance loss amplification, and “mega” catastrophes. Robert was lead author on Insurance, Finance, and Climate Change for the 2007 Intergovernmental Panel on Climate Change (IPCC) Assessment Report, and is the author of six books, as well as numerous papers and articles in scientific and industry publications. He holds a first class degree in natural sciences and a PhD in Earth Sciences, both from Cambridge University, and was a junior research fellow at Trinity Hall, Cambridge.
Peter S. Dailey,
Ph. D., Assistant Vice President & Director, Atmospheric Science for AIR Worldwide
Dr. Peter Dailey has overseen the development of several of AIR's catastrophe models. AIR Worldwide is a provider of risk modeling software and consulting services to more than 400 insurance, reinsurance, financial, corporate and government clients worldwide. He is also responsible for directing projects and developing innovative decision aids in several key areas, including hazard analysis, real-time loss estimation, and climate impacts for important perils and regions worldwide. While at AIR, Dr. Dailey has presented and published original research on a wide array of topics of importance to the insurance industry including hurricane dynamics, extra-tropical cyclone risk, and the influence of climate change on insured perils worldwide.
Prior to joining AIR in 2001, Dr. Dailey was Principal Meteorologist at Northrup Grumman (formerly TASC). There, he served as technical lead on numerous governmental and commercial modeling projects involving the development of numerical weather prediction technologies. He was also Principal Investigator (PI) on projects aimed at developing operational weather modeling technology for the media—including a modeling system used at The Weather Channel—and led an effort to develop Synthetic Natural Environments for distributed military training simulations.
Dr. Dailey received his M.S and Ph.D. degrees in Meteorology from the University of California, Los Angeles. His background includes research and development of models to simulate complex feedback systems as diverse as the U. S. economy and traffic flow. Dr. Dailey is the author of numerous articles related to the application of Numerical Weather Prediction models, with a particular focus on modeling at regional and local scales.
Thomas Larsen
Senior VP, Product Management Group, EQECAT, Inc.
Thomas Larsen has served as an associate at EQECAT, Inc. and its prior operating companies since 1989. With nearly 20 years experience in natural catastrophe modeling for insurers and government, he is responsible for the strategic direction of the product line for EQECAT, including deciding development of new models and maintenance of existing models. He also oversees the marketing of EQECAT risk decision tools and support.
At EQECAT, Mr. Larsen has played critical roles in the implementation of financial risk calculation packages for EQECAT software USWIND(R) and USQUAKE(R); was part of the team which assessed building damage caused by Hurricane Andrew, in 1992; helped develop windstorm vulnerability functions for private clients; has estimated extreme-risk losses in Iceland for volcanic, earthquake, and extreme wind activities; and participated in various seismic risk estimates for clients with properties in the United States, Puerto Rico, Chile, New Zealand, Australia, and Canada. He also has co-authored numerous reports and articles related to extreme-risk hazards and related computer modeling.
He earned a master of science degree in structural engineering, from the University of California, Berkeley, in 1989, and, a bachelor of science degree in civil engineering, from Stanford University, Palo Alto, California, in 1986.
Subscribe via iTunes.
Download the Podcast.