Data and code for "Uncertainty warnings for urban flood omissions in Copernicus Global Flood Monitoring"

Domain:

climategeospatial

Record type:

dataset

Creator:

Oua

Bac

Publisher:

Host:

Derived pixel-level data, summary tables, provenance metadata, and portable R scripts supporting an evaluation of Copernicus Global Flood Monitoring flood omissions and warning indicators in four African urban flood events. The primary warning uses the GFM exclusion mask or advisory flags; ensemble likelihood 40–49 is retained only as a sensitivity analysis. Raw third-party source data are not redistributed.

Visit

doi.org

Licenses

Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode MIT License Copyright (c) 2026 The authors Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.http://rightsstatements.org/vocab/InC/1.0/

Flood vulnerability framework for deprived urban areas in Africa (Data and Code repository)

This repository contains the processed datasets and analysis scripts supporting the manuscr

Flood Warnings and Preparedness Uptake of Flood-Risk Households in Bayelsa State, Nigeria

Flood hazards are becoming persistent social and environmental concern in Nigeria especially in Baye

Replication data and code for: "It will rain: The effect of information on flood preparedness in urban Mozambique"

This package contains the replication data and code for Leeffers, Stefan (2026), "It will rain: The

Aggregated fluvial flood hazard output for six Global Flood Models for the African Continent

This dataset is the output from the Global Flood Model intercomparison project undertaken on behalf

White Volta Flood Early Warning System: Code and Data

Code and derived data for: Obeng Junior, J. & Yuan, H. (2026). From Forecast to Alert: An AI-Dri

Area of Applicability for Flood Susceptibility Mapping: Analysis Code

Analysis code accompanying the manuscript: Tella, A., Song, Y., Zahidi, I., Pham, Q. B., & Dewan, A.