TEXT
README.md (2.33 kB)
TEXT
datasets.py (0.49 kB)
ARCHIVE
data.zip (4 GB)
TEXT
location.py (3.25 kB)
TEXT
rainfall.py (1.9 kB)
TEXT
stage.py (7.25 kB)
TEXT
inundation.py (3.43 kB)
TEXT
extent.py (2.9 kB)
TEXT
dems.py (1.63 kB)
TEXT
wrack_marks.py (3.15 kB)
TEXT
summary.py (0.61 kB)
TEXT
datasets.py (0.49 kB)
TEXT
names.py (0.33 kB)
1/0
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 KilsbyAll 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
History
UoA
- Earth Systems and Environmental Sciences
