LitPop: Global Exposure Data for Disaster Risk Assessment
Open access
Datum
2019-03Typ
- Dataset
ETH Bibliographie
yes
Altmetrics
Abstract
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 make gridded asset exposure data for 224 countries at a resolution of 30 arcsec available for download.
For more information, please refer to the accompanying publication. Please cite this publication, if you are using the data:
Eberenz, S., Stocker, D., Röösli, T., and Bresch, D. N.: Asset exposure data for global physical risk assessment, Earth Syst. Sci. Data, 12, 817–833, https://doi.org/10.5194/essd-12-817-2020, 2020. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000331316Verlag
ETH ZurichAusgabe / Version
v1.2 (2020-04-09)Software
CLIMADA – global weather and climate risk assessment platform.
Open-source software (Python 3.6+), available on GitHub:
https://github.com/CLIMADA-project/climada_python
https://github.com/CLIMADA-project/climada_papersGeographischer Bezug
Ortglobal
Erzeugt
2019-03Thema
Asset exposure data; Exposed assets; Global; Night lights; Population data; Produced capital; Downscaling; Downscaling approachOrganisationseinheit
09576 - Bresch, David Niklaus / Bresch, David Niklaus
Zugehörige Publikationen und Daten
Is cited by: https://doi.org/10.3929/ethz-b-000398592
Is cited by: https://doi.org/10.3929/ethz-b-000489485
Is Documented by: https://doi.org/10.3929/ethz-b-000409595
ETH Bibliographie
yes
Altmetrics