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Analysis inputs for validation of six global flood models against observed flood events in Nigeria and Mozambique

Bernhofen, Mark and Whyman, Charlie and Trigg, Mark and Sleigh, Andy and Smith, Andrew and Sampson, Christopher and Yamazaki, Dai and Ward, Phillip and Rudari, Roberto and Pappenberger, Florian and Dottori, Francesco and Salamon, Peter and Winsemius, Hessel (2018) Analysis inputs for validation of six global flood models against observed flood events in Nigeria and Mozambique. University of Leeds. [Dataset] https://doi.org/10.5518/340

This item is part of the Global Flood Model Testing and Validation Datasets collection.

Dataset description

This dataset contains the inputs used for validation of six global flood models (GFMs) against observed events in Nigeria and Mozambique. The dataset includes shapefiles that contain the analysis areas for the three study regions of Lokoja, Idah, and Chemba. For each study region, the observed flooding (obtained from the Dartmouth Flood Observatory) is included in GeoTIFF raster format at a resolution of 1/1200 decimal degrees (~90m). For each study region, the modelled flood extent from 6 GFMs is included in GeoTIFF raster format, resampled to a resolution of 1/1200 decimal degrees (~90m). Individual GFM output is provided in return periods of 25 and 100 years. The GFMs included are: CaMa-Flood, GLOFRIS, ECMWF, JRC, SSBN, and CIMA-UNEP. Finally, for each study region, the 25 year return period aggregated flood model (an output from the Global Flood Model Intercomparison Project) is included in GeoTIFF raster format at a resolution of 1/1200 decimal degrees (~90m). Each file is in the WGS84 projection.

Keywords: global flood model, validation, Nigeria, Mozambique, flood hazard
Subjects: F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences > F752 - Hydrology
Divisions: Faculty of Engineering > School of Civil Engineering
Related resources:
LocationType
https://doi.org/10.1088/1748-9326/aae014Publication
http://eprints.whiterose.ac.uk/135552/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 24 Aug 2018 08:23
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/411

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