source_data_flood_attribution

<p>The dataset includes source data for the journal article:</p> <p>Inga Sauer, Ronja Reese, Christian Otto, Tobias Geiger, Sven Willner, Benoit Guillod, David Bresch, and Katja Frieler. &ldquo;Climate Signals in River Flood Damages Emerge under Sound Regional Disaggregation,&rdquo; <a href="https://doi.org/10.21203/rs.3.rs-37259/v1">10.21203/rs.3.rs-37259/v1</a></p> <p>It provides data data required for hazard and exposure modeling required for damage modeling provided in the framework of the&nbsp;Inter-Sectoral Impact Model Intercomparison Project (ISIMIP).</p> <p>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</p> <p>Exposure modeling:</p> <p>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.</p> <p>The application of the datasets for damage modeling and for the reproduction of the article data is described here:</p> <p>https://github.com/ingajsa/flood_attribution_paper</p> <p>More information on flood modeling can be found at: 10.5281/zenodo.1241051</p> <p>For the gridded_GDP, see also: https://doi.org/10.5880/pik.2017.003</p>