ºÝºÝߣshows by User: gijsvandendool / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: gijsvandendool / Thu, 29 Oct 2015 12:57:51 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: gijsvandendool Forest Storm Damage and Insurance Losses /gijsvandendool/forest-storm-damage-and-insurance-losses geodesignsummitforeststormdamageandinsurancelossesfinal-151029125751-lva1-app6892
Forest Storm Damage and Insurance Losses – a Decision Support System Modelling damage from severe storms to commercial forestry is a small niche in the insurance business, and few models are available. CoreLogic© has included forest storm risks in their European windstorm product for two important countries: Sweden and Finland. To calculate the financial losses the insurer must first develop an appreciation of the forest risks distribution and damage. The following data layers are included to the model to support this: - meteorological data: describing the storm tracks and storm duration. - Land-use data: describing three classes of tree types, Broad-leaved, Coniferous, and Mixed forest - Topographical data: other land-use cover and elevation data, to estimate the terrain roughness. - Forest Census data: the Forest inventory records besides the amount of timber per district also tree distribution, height and age. In the model for forest risk calculations the available GIS data is combined with non-GIS data; like tree-type characteristics, and variation of damage. The model will take forest exposure (a portfolio of risks expressed as volume of timber), calculate the wind storm damage at each risk location, and processes individual or aggregate reports for forest losses. These reports are used in the decision making process to ensure that there are enough assets made available. The forest wind risk module is validated using reports from the national forest institutes, in which the total volume timber lost during a storm is listed, and claims information, from the insurance industry. Large insured forest losses, caused by severe storms, are not frequently seen in the two countries the model is covering, but for the two storms which caused damage in the last 50 years (Erwin 2005 / Per 2007) the model is producing loss values which are closely resemble the reported market losses. With the aid of the CoreLogic forest module insurers are able to get a rational estimation of the forest losses using the most up-to-date GIS and Statistical data/information ]]>
Forest Storm Damage and Insurance Losses – a Decision Support System Modelling damage from severe storms to commercial forestry is a small niche in the insurance business, and few models are available. CoreLogic© has included forest storm risks in their European windstorm product for two important countries: Sweden and Finland. To calculate the financial losses the insurer must first develop an appreciation of the forest risks distribution and damage. The following data layers are included to the model to support this: - meteorological data: describing the storm tracks and storm duration. - Land-use data: describing three classes of tree types, Broad-leaved, Coniferous, and Mixed forest - Topographical data: other land-use cover and elevation data, to estimate the terrain roughness. - Forest Census data: the Forest inventory records besides the amount of timber per district also tree distribution, height and age. In the model for forest risk calculations the available GIS data is combined with non-GIS data; like tree-type characteristics, and variation of damage. The model will take forest exposure (a portfolio of risks expressed as volume of timber), calculate the wind storm damage at each risk location, and processes individual or aggregate reports for forest losses. These reports are used in the decision making process to ensure that there are enough assets made available. The forest wind risk module is validated using reports from the national forest institutes, in which the total volume timber lost during a storm is listed, and claims information, from the insurance industry. Large insured forest losses, caused by severe storms, are not frequently seen in the two countries the model is covering, but for the two storms which caused damage in the last 50 years (Erwin 2005 / Per 2007) the model is producing loss values which are closely resemble the reported market losses. With the aid of the CoreLogic forest module insurers are able to get a rational estimation of the forest losses using the most up-to-date GIS and Statistical data/information ]]> Thu, 29 Oct 2015 12:57:51 GMT /gijsvandendool/forest-storm-damage-and-insurance-losses gijsvandendool@slideshare.net(gijsvandendool) Forest Storm Damage and Insurance Losses gijsvandendool Forest Storm Damage and Insurance Losses – a Decision Support System Modelling damage from severe storms to commercial forestry is a small niche in the insurance business, and few models are available. CoreLogic© has included forest storm risks in their European windstorm product for two important countries: Sweden and Finland. To calculate the financial losses the insurer must first develop an appreciation of the forest risks distribution and damage. The following data layers are included to the model to support this: - meteorological data: describing the storm tracks and storm duration. - Land-use data: describing three classes of tree types, Broad-leaved, Coniferous, and Mixed forest - Topographical data: other land-use cover and elevation data, to estimate the terrain roughness. - Forest Census data: the Forest inventory records besides the amount of timber per district also tree distribution, height and age. In the model for forest risk calculations the available GIS data is combined with non-GIS data; like tree-type characteristics, and variation of damage. The model will take forest exposure (a portfolio of risks expressed as volume of timber), calculate the wind storm damage at each risk location, and processes individual or aggregate reports for forest losses. These reports are used in the decision making process to ensure that there are enough assets made available. The forest wind risk module is validated using reports from the national forest institutes, in which the total volume timber lost during a storm is listed, and claims information, from the insurance industry. Large insured forest losses, caused by severe storms, are not frequently seen in the two countries the model is covering, but for the two storms which caused damage in the last 50 years (Erwin 2005 / Per 2007) the model is producing loss values which are closely resemble the reported market losses. With the aid of the CoreLogic forest module insurers are able to get a rational estimation of the forest losses using the most up-to-date GIS and Statistical data/information <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/geodesignsummitforeststormdamageandinsurancelossesfinal-151029125751-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Forest Storm Damage and Insurance Losses – a Decision Support System Modelling damage from severe storms to commercial forestry is a small niche in the insurance business, and few models are available. CoreLogic© has included forest storm risks in their European windstorm product for two important countries: Sweden and Finland. To calculate the financial losses the insurer must first develop an appreciation of the forest risks distribution and damage. The following data layers are included to the model to support this: - meteorological data: describing the storm tracks and storm duration. - Land-use data: describing three classes of tree types, Broad-leaved, Coniferous, and Mixed forest - Topographical data: other land-use cover and elevation data, to estimate the terrain roughness. - Forest Census data: the Forest inventory records besides the amount of timber per district also tree distribution, height and age. In the model for forest risk calculations the available GIS data is combined with non-GIS data; like tree-type characteristics, and variation of damage. The model will take forest exposure (a portfolio of risks expressed as volume of timber), calculate the wind storm damage at each risk location, and processes individual or aggregate reports for forest losses. These reports are used in the decision making process to ensure that there are enough assets made available. The forest wind risk module is validated using reports from the national forest institutes, in which the total volume timber lost during a storm is listed, and claims information, from the insurance industry. Large insured forest losses, caused by severe storms, are not frequently seen in the two countries the model is covering, but for the two storms which caused damage in the last 50 years (Erwin 2005 / Per 2007) the model is producing loss values which are closely resemble the reported market losses. With the aid of the CoreLogic forest module insurers are able to get a rational estimation of the forest losses using the most up-to-date GIS and Statistical data/information
Forest Storm Damage and Insurance Losses from Gijs van den Dool
]]> 406 7 https://cdn.slidesharecdn.com/ss_thumbnails/geodesignsummitforeststormdamageandinsurancelossesfinal-151029125751-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-gijsvandendool-48x48.jpg?cb=1619268113 EQECAT Catastrophe Modeling