Abstract:
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 dataset 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).
The data in American Standard Code for Information Interchange (ASCII) and dBASE (DBF) formats and a map in Portable Document Format (PDF) and Portable Network Graphics (PNG) formats are available from the NASA Socioeconomic Data and Applications Center (SEDAC).
Purpose:
To provide a spatial surface of the total economic impacts of global cyclone hazard.
Quality
The population per grid cell (item Pop) is based upon the population data of Gridded Population of the World, Version 3 (GPWv3). The area per grid cell (Areakm) is calculated by subtracting from the area of the grid cell those areas that are permanently inundated as identified using VMAP (0)/Digital Chart of the World. Building upon a methodology developed by Sachs et al. (2003), a Gross Domestic ... Product (GDP) value (US $2000, purchase power parity adjusted (PPP)) is estimated for each grid cell. The process begins by determining the contribution of each subnational unit to national GDP using data of varied origin. The ratio of the subnational production to the national GDP is the contribution ratio. To ensure uniformity between countries, these contribution ratios are utilized with published World Bank estimates of GDP. Once a standardized version of subnational GDP had been calculated, this value was further divided by the total population within the subnational unit. This subnational, per-person GDP value was multiplied by the grid cell population density to determine a GDP for the grid cell.
Regional loss rates derived from the historical records of EM-DAT were utilized in conjecture with the vulnerability data within Global Cyclone Hazard Frequency and Distribution and the GDP per grid cell to assess the total economic loss risks posed by cyclone hazard. Since the resultant range of economic loss risks varied widely, the natural log was taken before classifying into deciles, 10 classes of approximately an equal number of grid cells.
Access Constraints
None
Use Constraints
The Trustees of Columbia University in the City of New York, Center for Hazards and Risk Research, and International Bank for Reconstruction and ... Development/The World Bank hold the copyright of this dataset. Users are prohibited from any commercial, resale, or redistribution without explicit written permission from CHRR, CIESIN, and The World Bank. Users should acknowledge CHRR, CIESIN, and The World Bank as the source used in the creation of any reports, publications, new datasets, derived products, or services resulting from the use of this dataset. CHRR, CIESIN, and The World Bank request reprints of any publications and notification of any redistribution efforts.
Distribution_Media:
Online HTTP
Distribution_Format:
PDF
Fees:
0
Personnel
SEDAC USER SERVICES Role:
TECHNICAL CONTACT
Phone:
+1 845-365-8920
Fax:
+1 845-365-8922
Email:
ciesin.info at ciesin.columbia.edu
Contact Address:
61 Route 9W, P.O. Box 1000 City:
Palisades
Province or State:
NY
Postal Code:
10964
Country:
USA
SEDAC USER SERVICES Role:
DIF AUTHOR
Phone:
+1 845-365-8920
Fax:
+1 845-365-8922
Email:
ciesin.info at ciesin.columbia.edu
Contact Address:
61 Route 9W, P.O. Box 1000 City:
Palisades
Province or State:
NY
Postal Code:
10964
Country:
USA
Publications/References
Center for Hazards and Risk Research (CHRR)/Columbia University, Center for International Earth Science Information Network (CIESIN)/Columbia University, International Bank for Reconstruction and Development/The World Bank, and United Nations Environment Programme Global Resource Information Database Geneva (UNEP/GRID-Geneva) (2005), Global Cyclone Hazard Frequency and Distribution, Center for Hazards and Risk Research (CHRR)/Columbia University, Palisades, NY, http://sedac.ciesin.columbia.edu/data/set/ndh-cyclone-hazard-freque...
Center for Hazards and Risk Research (CHRR)/Columbia University, Center for International Earth Science Information Network (CIESIN)/Columbia University, and International Bank for Reconstruction and Development/The World Bank (2005), Global Cyclone Mortality Risks and Distribution, Center for Hazards and Risk Research (CHRR)/Columbia University, Palisades, NY, http://sedac.ciesin.columbia.edu/data/set/ndh-cyclone-mortality-ris...
Center for Hazards and Risk Research (CHRR)/Columbia University, Center for International Earth Science Information Network (CIESIN)/Columbia University, and International Bank for Reconstruction and Development/The World Bank (2005), Global Cyclone Proportional Economic Loss Risk Deciles, Center for Hazards and Risk Research (CHRR)/Columbia University, Palisades, NY, http://sedac.ciesin.columbia.edu/data/set/ndh-cyclone-proportional-...
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