Dataset

Synthetic Assessment of Global Distribution of Vulnerability to Climate Change, v1 (2005, 2050, 2100)

Climate / Climate ChangeGlobalColumbia University

Dataset Objective

To assess global distribution of vulnerability to climate change and nations capacity to adapt.

Context

Data produced in collaboration with the Wesleyan University, Joint Global Change Research Institute, University of Illinois and the Columbia University Center for International Earth Science Information Network (CIESIN).

What is included

This dataset entails climate vulnerability scenario( from modest to extremely vulnerable), geographical location, avent adaptivity, extreme events, national boundaries, and population density.

Collection Methods

The Vulnerability-Resilience Indicator Model (VRIM) takes a hierarchical approach in constructing a vulnerability index as the geometric mean of various measures of sensitivity (how systems could be negatively affected by environmental stresses) and adaptive capacity (the capability of a society to maintain, minimize loss of, or maximize gains in welfare)