Validation Inputs for Six Global Flood Models in Nigeria and Mozambique

Nigeria and Mozambique flood data includes shapefiles for three study regions and GeoTIFF rasters of observed and modelled flood extents. The dataset contains outputs from six global flood models at 25- and 100-year return periods, resampled to a resolution of approximately 90 meters. It was created by Mark Bernhofen of the University of Leeds for validating flood models against observed events from the Dartmouth Flood Observatory.

Use Cases

• Benchmarking global flood model performance based on observed flood extents in specific regions.
• Analyzing flood hazard for different return periods based on the 25- and 100-year model outputs.
• Comparing flood extent predictions from six different models (CaMa-Flood, GLOFRIS, ECMWF, JRC, SSBN, CIMA-UNEP).
• Assessing the aggregated flood model output from the Global Flood Model Intercomparison Project.

Strengths

• Includes observed flood data from the Dartmouth Flood Observatory for validation.
• Compares outputs from six distinct global flood models.
• Provides data at a consistent spatial resolution of approximately 90 meters.
• Covers three specific study regions: Lokoja, Idah, and Chemba.

Limitations

• Row count and total file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Leeds, Mark Bernhofen, and the Dartmouth Flood Observatory.

Collection Method

Likely compiled from model outputs and satellite-derived flood observations for validation purposes.

Geography

Nigeria (Lokoja, Idah) and Mozambique (Chemba).