Articles | Volume 21, issue 10
Research article
12 Oct 2017
Research article |  | 12 Oct 2017

Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods

Cherry May R. Mateo, Dai Yamazaki, Hyungjun Kim, Adisorn Champathong, Jai Vaze, and Taikan Oki

Data sets

Shuttle Radar Topography Mission (SRTM) USGS (U.S. Geological Survey)

HydroSHEDS USGS (U.S. Geological Survey)

RID-Hydrology System (Discharge) RID (Royal Irrigation Department, Thailand)

IMPAC-T: H08 Dataset Integrated study on Hydro-Meteorological Prediction and Adaptation to Climate Change in Thailand (IMPAC-T) th/products/public/H08/

Model code and software

CaMa-Flood global hydrodynamic model D. Yamazaki

Short summary
Providing large-scale (regional or global) simulation of floods at fine spatial resolution is difficult due to computational constraints but is necessary to provide consistent estimates of hazards, especially in data-scarce regions. We assessed the capability of an advanced global-scale river model to simulate an extreme flood at fine resolution. We found that when multiple flow connections in rivers are represented, the model can provide reliable fine-resolution predictions of flood inundation.