Global Cyclone Total Economic Loss Risk Deciles

The Global Cyclone Total Economic Loss Risk Deciles is a 2.5 minute grid of global cyclone total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational Units to their respective national GDP are determined using sources of various origins. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational Unit. Once the national GDP is spatially stratified into the smallest administrative Units available, GDP values for grid cells are derived using population distribution data. A per capita contribution value is determined within each subnational Unit, and this value is multiplied by the population per grid cell as determined from Gridded Population of the World, Version 3 (GPWv3) data. Once a GDP value is determined on a per grid cell basis, then the regionally variable loss rate, as derived from the historical records of EM-DAT, is used to determine the total economic loss risks posed to a grid cell by cyclone hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).

全球台风总经济损失风险十位数数据集系基于2.5分钟网格的全球台风总经济损失风险分布。本数据集采用Sachs等（2003年）方法，对国内生产总值（GDP）进行空间分配。首先，通过多种来源确定地方行政单元对其各自国家GDP的占比贡献。接着，将贡献率应用于已发布的国际复兴开发银行发展指标，以确定地方行政单元的GDP值。然后，将国家GDP空间分层至可用的最小行政单元，并利用人口分布数据推导出网格单元的GDP值。在每个地方行政单元内，确定人均贡献值，并将其与来自世界人口网格数据版本3（GPWv3）的每个网格单元人口数相乘。一旦确定了每个网格单元的GDP值，便使用从EM-DAT历史记录中推导出的区域变量损失率，来确定台风灾害对网格单元造成的总经济损失风险。最终数据表面并不展示绝对的总经济损失值，而是基于计算的经济损失风险，对网格单元进行相对十位数（1-10，风险递增）的排名。本数据集是哥伦比亚大学灾害与风险研究（CHRR）、国际复兴开发银行/世界银行以及哥伦比亚大学国际地球科学信息网络中心（CIESIN）合作的成果。