Data and code supporting McClean et al (2020) Implications of using Global Digital Elevation Models for Flood Risk Analysis in Cities. Water Resources Research.

dataset

posted on 2020-08-25, 11:46 authored by Fergus McCleanFergus McClean, Richard Dawson, Chris Kilsby

All figures from McClean el al (2020) can be reproduced using the code and data provided here. To run the scripts, extract data.zip into ./data then create a Python environment using environment.yml. See README.md for further information.

Funding

NE/M009009/1: Centre for Doctoral Training for Data, Risk and Environmental Analytical Methods (DREAM)

EP/N010124/1: TWENTY 65: Tailored Water Solutions for Positive Impact

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UoA

Earth Systems and Environmental Sciences

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Keywords

Digital Elevation Model LIDAR Flood risk Cities Global Validation Simulation and Modelling Risk Engineering (excl. Earthquake Engineering)Surfacewater Hydrology

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CC BY 4.0

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