source_data_flood_attribution

The dataset includes source data for the journal article:

Inga Sauer, Ronja Reese, Christian Otto, Tobias Geiger, Sven Willner, Benoit Guillod, David Bresch, and Katja Frieler. “Climate Signals in River Flood Damages Emerge under Sound Regional Disaggregation,” 10.21203/rs.3.rs-37259/v1

It provides data data required for hazard and exposure modeling required for damage modeling provided in the framework of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP).

Hazard modeling: provided are spatially explicit flooded areas and flood depth on a 150arcsec resolution and discharge on a 0.25 degree resolution the file names follow the structure: variable_resolution_ghm_climateforcing_protectionstandard.nc (for flood depth (flddph) and flooded fraction (fldfrc)) and variable_ghm_climateforcing.nc

Exposure modeling:

The file gdp_1850_2100_150arcsec.nc contains yearly gridded-GDP on a 150 arcsec resolution converted to PPP 2005 USD. Between 2000 and 2010 there is a transition between observed GDP and the future socio-economic development scenario SSP2.

The application of the datasets for damage modeling and for the reproduction of the article data is described here:

https://github.com/ingajsa/flood_attribution_paper

More information on flood modeling can be found at: 10.5281/zenodo.1241051

For the gridded_GDP, see also: https://doi.org/10.5880/pik.2017.003