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


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AR by Samuel Eberenz on behalf of the Authors (11 Feb 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 Feb 2020) by David Carlson
RR by Anonymous Referee #2 (09 Mar 2020)
ED: Publish subject to technical corrections (09 Mar 2020) by David Carlson

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.