Data underlying the publication: A rainfall threshold-based approach to early warnings in urban data-scarce regions: A case study of pluvial flooding in Alexandria, Egypt

DOI:10.4121/bf9f0902-582e-464f-989f-bf0f4a03fde9.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/bf9f0902-582e-464f-989f-bf0f4a03fde9

Datacite citation style

Young, Adele; Bhattacharya, Biswa; Zevenbergen, Chris (2025): Data underlying the publication: A rainfall threshold-based approach to early warnings in urban data-scarce regions: A case study of pluvial flooding in Alexandria, Egypt. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/bf9f0902-582e-464f-989f-bf0f4a03fde9.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Delft University of Technology logo

Geolocation

Alexandria, Egypt
lat (N): 31.20499
lon (E): 29.92535
view on openstreetmap

Time coverage

2011-2012 and 2013-1205 and 2018

Licence

CC BY 4.0

Interoperability

This study aims to utilise a probabilistic approach to characterise and predict urban floods by assessing critical rainfall thresholds likely to cause flooding combined with ensemble precipitation forecast in Alexandria, Egypt. Rainfall thresholds were inferred by associating observed rainfall and historical flood information sourced from social media and newspapers. Floods were classified in a colour-coded hazard matrix as no flood (green), minor flood (yellow), significant flood (orange), and severe flood (red). The probability of occurrence of hazard classes was derived by incorporating ensemble rainfall into the hazard matrix to jointly evaluate likelihood and hazard severity. This dataset includes the Ensemble rainfall forecast TIGGE (THORPEX International Grand Global Ensemble) from the ECMWF which is part of the THORPEX (Observing System Research and Predictability Experiment). It also includes rainfall gauge data sourced from METeorological Aerodrome Report (METAR)

History

  • 2025-11-07 first online, published, posted

Publisher

4TU.ResearchData

Format

excel spreadsheet/.xlsx , python/.py

Funding

  • Sustainable Water Fund (grant code FDW16O46RI) [more info...] Rijksdienst voor Ondernemend Nederland (RVO)

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering
IHE Delft Institute for Water Education, Department of Coastal and Urban Risk Resilience

DATA

Files (2)