Articles | Volume 21, issue 10
Hydrol. Earth Syst. Sci., 21, 5143–5163, 2017
https://doi.org/10.5194/hess-21-5143-2017
Hydrol. Earth Syst. Sci., 21, 5143–5163, 2017
https://doi.org/10.5194/hess-21-5143-2017

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 et al.

Data sets

Shuttle Radar Topography Mission (SRTM) USGS (U.S. Geological Survey) https://hydrosheds.cr.usgs.gov/dataavail.php

HydroSHEDS USGS (U.S. Geological Survey) https://hydrosheds.cr.usgs.gov/dataavail.php

RID-Hydrology System (Discharge) RID (Royal Irrigation Department, Thailand) http://hydrologydb.rid.go.th/water/discharge/index.htm

IMPAC-T: H08 Dataset Integrated study on Hydro-Meteorological Prediction and Adaptation to Climate Change in Thailand (IMPAC-T) http://impact-di.eng.ku.ac. th/products/public/H08/

Model code and software

CaMa-Flood global hydrodynamic model D. Yamazaki http://hydro.iis.u-tokyo.ac.jp/~yamadai/cama-flood/index.html

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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.