AIR Typhoon Model for Japan
Transcription
AIR Typhoon Model for Japan
AIR Typhoon Model for Japan Typhoons are the most frequent cause of property loss in Japan. The growing number and value of properties in risk-prone areas of Japan make it essential for companies operating in this market to have the tools that will effectively mitigate the impact of winds, precipitationinduced flooding, and storm surge from the next typhoon. The AIR Typhoon Model for Japan— part of AIR’s Northwest Pacific Basinwide Typhoon Model—provides a probabilistic approach for determining the likelihood ROBUST CATALOG LEVERAGES DATA FROM LEADING REGIONAL ORGANIZATIONS The model features a large catalog of simulated events that appropriately characterizes the frequency, track, and other meteorological aspects of potential future storms. To create this catalog, AIR scientists utilized historical data provided of losses from typhoon winds, by leading regional organizations, including the Japan precipitation-induced flooding, and storm Meteorological Agency (JMA) and the Shanghai Typhoon surge. The model incorporates cutting model features a 10,000-year catalog containing 293,235 edge science that best reflects the current understanding of the behavior of tropical Institute (STI). Based on this comprehensive data set, the AIR simulated events ranging from tropical storm to super typhoon. cyclones in this basin, as well as the latest WIND HAZARD MODELING REFLECTS LATEST RESEARCH ON REGIONAL TYPHOON BEHAVIOR engineering research into the response Observation data indicate that the central pressure–wind of local construction. Extensive loss data speed relationship is different in different ocean basins. from the Japanese insurance market was the Northwest Pacific tend to have lower wind speeds than used to validate model results. For example, for the same central pressure, typhoons in hurricanes in the North Atlantic. In the AIR model, the generation of a typhoon’s local wind field involves computing winds aloft at each point in the model domain using a central pressure–wind speed relationship that incorporates regionspecific data to best reflect the current understanding of winds generated by Northwest Pacific typhoons. A COMPREHENSIVE APPROACH TO ASSESSING REGIONAL RISK Today, insurers and reinsurers operating globally need the ability to quantify the risk to policies and portfolios that span multiple countries—particularly in the Northwest Pacific Basin, where, given the configuration of landmasses, more than half of all landfalling typhoons affect more than one country. To provide a consistent and comprehensive view of risk to companies with regional portfolios, AIR has developed a unified basinwide catalog shared by all modeled countries in the Northwest Pacific basin. The catalog enables seamless risk assessment for multi-country policies and portfolios, an approach of critical importance to global companies. 2 The majority of storms during the 2007 Northwest Pacific typhoon season impacted more than one country. 300 To ensure the most accurate view of flood risk, AIR’s model 270 also accounts for extratropical transitioning, which can lead to 240 an increase in the size of a storm’s precipitation shield. 210 150 STORM SURGE MODULE INCORPORATES HIGHRESOLUTION BATHYMETRY AND TERRAIN AND STORM SURGE ELEVATION DATA 120 Although little correlation exists between typhoon wind 90 speed and precipitation intensity, storm surge is strongly 60 correlated with wind speed. Other factors influencing the 30 storm surge threat include bathymetry and tide. A given 0 typhoon will typically produce a larger storm surge along 180 a coastline with shallow bathymetry than one with steep Accumulated precipitation in millimeters for 2009’s Typhoon Etau (red circles indicate storm track). Although Etau never came closer than 300 km to Japan, flooding from the storm inundated more than 5,000 buildings. bathymetry. Background astronomical tide level—that is, the water height that would have been observed in the absence of a storm—influences the total water level seen during a The model’s wind field formulation is further supported by the latest available data and scientific literature on the rate of decrease in wind speeds after landfall. Overestimating this rate can significantly underestimate inland losses. PRECIPITATION-INDUCED FLOOD MODULE INCORPORATES DETAILED INFORMATION ON SOIL TYPE, LAND USE/LAND COVER, AND TOPOGRAPHY Precipitation-induced flooding can be a major driver of insured loss from Japanese typhoons. Unlike typhoon winds, which generally decrease as storms move inland, the intensity of storm-related precipitation can actually increase in inland regions. Furthermore, the precipitation footprints of typhoons typically extend for hundreds of kilometers (as opposed to tens of kilometers, for the wind footprint); thus, even storms hundreds of kilometers offshore can cause flood damage on land. The AIR model employs a separate module that is used to determine the spatial distribution of accumulated runoff. High-resolution data on soil type, land use/land cover, and slope are all used to redistribute precipitation over the model domain. The fraction of runoff absorbed at a given location tropical cyclone event. Through the use of high-resolution bathymetry and terrain elevation data, the storm surge module simulates a storm surge event from its inception to its farthest extent inland. DAMAGE FUNCTIONS PROVIDE ROBUST VIEW OF WIND, PRECIPITATION-INDUCED FLOOD, AND STORM SURGE RISK Based on engineering studies, post-disaster surveys following recent storms, and analyses of a large set of claims data, AIR engineers have developed peril-specific functions for 62 different construction classes and 116 occupancy classes in Japan. Further highlights of the AIR model’s vulnerability module include: –– Separate damage functions for the wind, precipitationinduced flood, and storm surge perils –– Wind, precipitation-induced flood, and storm surge damage functions that vary by building height, construction, and occupancy –– Damage functions that account for the duration of high winds at a building’s location –– Method for estimating business interruption that varies by occupancy and accounts for business characteristics depends on the porosity of the soil and its saturation level, as well as the slope of the ground. 3 (i.e., resiliency, the ability to relocate) and building size and complexity –– Damage functions that capture variability in regional vulnerability VARIABILITY IN REGIONAL BUILDING PRACTICES CAPTURED WITH REGIONAL VULNERABILITIES By incorporating findings from a comprehensive study of local construction practices and building codes, regional –– Detailed age bands for wood frame buildings vulnerabilities in the AIR model appropriately capture –– Flood damage estimation that accounts for the existing the variation in damage from wind. For non-engineered flood defenses –– Damage functions that support a variety of specialized structures (which do not follow prescribed design levels for environmental loads set out by the country’s national building risks, including marine cargo, marine hull, railways, code), these vulnerabilities are based on the composite buildings under construction, large industrial facilities, hazard—wind, seismic activity, and snow load. For engineered additional composite construction classes (to enhance buildings (which are constructed using the national building support of Japan’s fire code), and unknown risk code), regional vulnerabilities were developed using design characteristics wind speeds from the Architectural Institute of Japan. ACCOUNTING FOR JAPAN’S ENGINEERED FLOOD DEFENSES Japan continues to invest heavily in flood risk reduction measures by increasing the level of flood defenses, including levees, dams, and cisterns. To provide the most accurate view of flood risk possible, the AIR model accounts for the flood level that the defenses were designed to withstand, as well as their current state of repair, which can differ notably from design conditions. An underground cistern north of Tokyo (Source: Yomiuri Shimbun). Photos taken as part of AIR damage surveys; (top) roof and window damage to a residential structure from Typhoon Ma-on in 2011 and (bottom) damage to a large mutual line from 2004’s Typhoon Songda. 4 VALIDATING INSURED LOSSES USING EXTENSIVE CLAIMS DATA Japan differ significantly for water-related perils—including To produce realistic and robust model results, AIR builds its compared to the wind peril. Touchstone® allows users to input models from the ground up, validating each component separate policy conditions for wind and water-related perils, independently against multiple sources. AIR modeled wind and obtain separate loss estimates for the three sub-perils, speeds, precipitation totals, and storm surge heights are leading to more accurate loss estimates. precipitation-induced flood and storm surge perils—as validated using AMeDAS and buoy data from the Japan Meteorological Agency. Results can be made more accurate still if disaggregation is applied to exposure data submitted at the aggregate level. AIR also validates top down, comparing modeled losses to Innovative disaggregation techniques available in Touchstone industry loss estimates and company data. Modeled losses distribute prefecture-level, ku-level, or yubin-level exposure for the AIR Typhoon Model for Japan have been validated data down to a high resolution grid based on distributions in against actual loss and claims data from major typhoons AIR’s detailed industry exposure database for Japan. since 1991, from companies representing roughly 30% of Japan premium. AIR’s comprehensive approach to validation confirms that overall losses are reasonable and that the final model output is consistent with both basic physical tested against historical and real-time information. Regional Vulnerability Factors Regional Vulnerability Factors Non-Engineered Buildings Engineered Buildings LOWER VULNERABILITY Gross Losses expectations of the underlying hazard and unbiased when LOWER VULNERABILITY HIGHER VULNERABILITY 6 00 Sh an sh ab i‘ an 20 ’2 05 4 ‘2 N ka To M ea ri ge ‘2 ‘2 00 00 4 4 00 4 da So ab Ch Observed ng a ‘1 ‘2 99 00 9 98 rt 19 ck Vi Ba i‘ ‘1 y nc Ya M ir’ el le ‘1 99 99 3 1 HIGHER VULNERABILITY Modeled SEPARATING WIND, PRECIPITATION-INDUCED FLOOD, AND STORM SURGE LOSSES FOR MORE ACCURATE MODEL RESULTS Gross Losses Regional vulnerabilities for wind of engineered buildings. Insurance coverage for wind damage is automatically included in standard fire insurance policies. Flood and surge coverage are treated as “water” coverage and must be purchased separately from wind. Policy conditions in Songda ‘2004 Tokage ‘2004 Chaba ‘2004 Shanshan ‘2004 Modeled losses for select events compare well to observed losses based on individual company data. 5 MODEL AT A GLANCE MODELED PERILS Tropical cyclone wind, precipitation-induced flood, and storm surge MODEL DOMAIN Northwest Pacific Ocean and the Japanese archipelago SUPPORTED GEOGRAPHIC RESOLUTION Latitude/Longitude, JIS/Ku/Sonpo/Yubin, and Prefecture STOCHASTIC CATALOG 10,000-year catalog includes 293,235 simulated events SUPPORTED CONSTRUCTION CLASSES AND OCCUPANCIES NUMBER OF SUPPORTED CONSTRUCTION CLASSES: Separate wind, flood, and surge damage functions for 62 construction types NUMBER OF SUPPORTED OCCUPANCY CLASSES: 116 UNKNOWN DAMAGE FUNCTION: When detailed exposure data (e.g., construction type or height) is unavailable, the model applies an “unknown” damage function that takes into account the building inventory in Japan. The model supports a wide variety of location, policy, and reinsurance conditions, as well as SUPPORTED POLICY CONDITIONS Extra Expenses and Debris Removal. The complex policies that are commonly used in Japan, such as endowment or step policy functions, are also supported. MODEL HIGHLIGHTS –– Shares a basinwide catalog with other modeled territories in the Northwest Pacific to allow clients to more accurately model losses to portfolios that cross borders –– Incorporates central pressure/wind speed relationship specific to Northwest Pacific –– Explicit modeling of precipitation-induced flooding and storm surge –– Accounts for damage to building, contents, and business interruption from wind, flood, and surge –– Accounts for regional variations in building vulnerability due to multi-hazard environment –– Supports the modeling of specialized risks, including railway, marine cargo, marine hull, and large industrial facilities –– Accounts for the impact of flood defense systems in mitigating flood risk –– Touchstone enables users to easily run wind/flood/surge scenarios and can distribute aggregated exposure data down to a high resolution grid based on distributions in AIR’s detailed industry exposure database ABOUT AIR WORLDWIDE AIR Worldwide (AIR) provides catastrophe risk modeling solutions that make individuals, businesses, and society more resilient. AIR founded the catastrophe modeling industry in 1987, and today models the risk from natural catastrophes and terrorism globally. Insurance, reinsurance, financial, corporate, and government clients rely on AIR’s advanced science, software, and consulting services for catastrophe risk management, insurancelinked securities, site-specific engineering analyses, and agricultural risk management. AIR Worldwide, a Verisk Analytics (Nasdaq:VRSK) business, is headquartered in Boston with additional offices in North America, Europe, and Asia. For more information, please visit www.air-worldwide.com. AIR is a Verisk Analytics business. AIR Worldwide and Touchstone are registered trademarks of AIR Worldwide Corporation. ©2016 AIR WORLDWIDE Cover Image: Typhoon Jelawat, NASA
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