Articles | Volume 12, issue 2
Data description paper
09 Apr 2020
Data description paper |  | 09 Apr 2020

Asset exposure data for global physical risk assessment

Samuel Eberenz, Dario Stocker, Thomas Röösli, and David N. Bresch

Data sets

LitPop: Global Exposure Data for Disaster Risk Assessment S. Eberenz, D. Stocker, T. Röösli, and D. N. Bresch

Model code and software

CLIMADA v.1.2.0 D. N. Bresch, G. Aznar Siguan, S. Eberenz, T. Röösli, D. Stocker, J. Hartman, M. Pérus, and V. Bozzini


The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
The modeling of economic disaster risk on a global scale requires high-resolution maps of exposed asset values. We have developed a generic and scalable method to downscale national asset value estimates proportional to a combination of nightlight intensity and population data. Here, we present the methodology together with an evaluation of its performance for the subnational downscaling of GDP. The resulting exposure data for 224 countries and the open-source Python code are available online.