Research Data Leeds Repository
Aggregated fluvial flood hazard output for six Global Flood Models for the African Continent.
Citation
Trigg, Mark and Birch, Cathryn E. and Neal, Jeffrey C. and Bates, Paul D. and Smith, Andrew M. and Sampson, Christopher and Yamazaki, Dai and Hirabayashi, Yukiko and Pappenberger, Florian and Dutra, Emanuel and Ward, Phillip and Winsemius, Hessel and Salamon, Peter and Dottori, Francesco and Rudari, Roberto and Kappes, Melanie S. and Simpson, Alanna L. and Hadzilacos, Giorgis and Fewtrell, Timothy J., Global Flood Partnership (2016) Aggregated fluvial flood hazard output for six Global Flood Models for the African Continent. University of Leeds. [Dataset] https://doi.org/10.5518/96
This item is part of the Global Flood Model Testing and Validation Datasets collection.Dataset description
This dataset is the output from the Global Flood Model intercomparison project undertaken on behalf of the Global Flood Partnership. The methodology is described in Trigg et. al. 2016, "The credibility challenge for global fluvial flood risk analysis", published in the Environmental Research Letters Journal. Please cite this paper for all uses of the data.The data is composed of aggregated data for 5 return periods (1 in 25, 100, 250 and 1000 year) from 6 global flood hazard models: CaMa-UT, GLOFRIS, ECMWF, JRC, SSBN, and CIMA-UNEP. All the models simulate, for a given probability flow, how water that is excess to river channel capacity inundates the surrounding floodplain topography. There are 5 files, one for each return period. Each file is a geospatial, WGS84, 1/1200 decimal degrees resolution (~90m) GeoTIFF raster with a classified integer value representing how many out of the 6 models agree that a cell is wet (note 0 - dry/no data).
Additional information: | GEOTIFF FILES: Classified raster data with integer value representing how many out of the 6 models agree that a cell is wet (note 0 - dry/no data). WGS84, Geospatial raster data 1/1200 decimal degrees resolution (~90m) - Single byte LZW compressed GeoTIFF raster format. This file format can be read by any Geographical Information System Software (GIS). | ||||||
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Keywords: | global flood model, flood hazard, Africa | ||||||
Subjects: | H000 - Engineering > H200 - Civil engineering > H220 - Environmental engineering F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences > F752 - Hydrology D000 - Veterinary sciences, agriculture & related subjects > D400 - Agriculture > D440 - Rural estate management > D443 - Water resource management |
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Divisions: | Faculty of Engineering and Physical Sciences > School of Civil Engineering Faculty of Environment > water@leeds |
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License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||||
Date deposited: | 12 Sep 2016 10:48 | ||||||
URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/79 | ||||||