Casualty Actuarial Society Hurricane Landfall Probabilities from Proxy Data David Malmquist Risk Prediction Initiative Bermuda Biological Station for Research,

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Casualty Actuarial Society Hurricane Landfall Probabilities from Proxy Data David Malmquist Risk Prediction Initiative Bermuda Biological Station for Research, Inc.

Preview Risk Prediction Initiative Need for Proxies Proxy Methods and Results Future Directions

The Goal of the RPI To create links between the climate science and insurance communities so that the science of climate forecasting is available, understandable, and usable by insurers

RPI Information Flow Risk Prediction Initiative INSURERS Commercial Risk Modelers AcademiaGovernment

RPI Corporate Sponsors X.L. Mid Ocean Re General Re Renaissance Re ACE Limited Centre Solutions Employers Re AIG/IPC Re

RPI Activities Facilitate working groups Fund novel research Develop and distribute research products

Catastrophe Risk Model landfall probability maximum sustained winds peak wind gust radius of maximum winds forward speed and direction decay rate latitude longitude elevation topography construction type surrounding structures physical damage repair costs Damage terms of coverage Insured Loss Hazard

RPI Activities Facilitate working groups  Fund novel research  extend historical records via proxies –improve hurricane forecasts –climate variability –wind-field dynamics –develop public models Develop and distribute research products

≥ < > > 18 Minimal Moderate Extensive Extreme Catastrophic Saffir/Simpson Scale Pressure (inches) Wind (mph) Surge (ft) Damage

US Tropical Cyclone Damage ( ) Pielke & Landsea, 1997 $ = Millions of 1995 US dollars

Tropical Cyclone Observation NOAA, 1993 Satellites Land observations Ship logs Aircraft reconnaissance

Intense US Landfalls ( ) data from NOAA

Cat 5 US Landfalls ( ) data from NOAA

Extend Historical Records Via Proxies RPI Funded Research

Hurricane Proxies: Storm Surge Barrier Island Sand Mud OceanLake

from K.-B. Liu

sand layers Depth (cm) Lake Shelby, Alabama Lake Shelby, Alabama , 2.6, 2.2, 1.4, 0.8 ka , 2.6, 2.2, 1.4, 0.8 ka ~ 600 year return period ~ 600 year return period Category 4 or 5 Category 4 or 5 Lake Core Analysis data from K.-b. Liu

A Climate Diagnostic Proxy: Oxygen Isotopes Mean Sea Water H 2 16 O > 99.7% H 2 18 O ~ 0.2%

Texas Summer Precipitation Lawrence & Gedzelman, Rainfall Events Oxygen Isotope Values n = 208 Summer Rain Tropical Cyclones

- 9.35‰ ‰ Proxy Tape Recorder  18 O Time

Growth of Cave Deposits stalactite stalagmite column H 2 O + CO 2 + CaCO 3 Ca HCO 3 - dissolution precipitation

Stalagmite Cross-Section  18 O  Fidelity Sampling Interval

Tree Growth

Suppressed vs. Released Rings

What are the Potential Proxy Signals? Within-tree differences in ring width Between-tree differences in ring width –local (cohort) –regional (intersite) Isotopic Signals

Hurricane Camille (1969) Louisiana Mississippi Pass Christian Slidell

Single -Tree Analysis Hurricane Wind

Single -Tree Analysis Standardized Ratio Doyle & Gorham, 1996 Hurricane Camille

Cohort Analysis Hurricane Wind A AB B

Cohort Analysis Growth Ratio Doyle & Gorham, Hurricane Camille

Inter-Site Analysis LAMS LA MS

Inter-Site Analysis Growth Ratio Doyle & Gorham, Hurricane Camille

Hurricane Proxies: U.S. Geography Lake cores Tree-rings Caves

Facilitate working groups Fund novel research Develop and distribute research products