Quantifying uncertainty in flood predictions in LISFLOOD-FP due to arbitrary conventions in grid alignment in LiDAR-derived digital elevation models - Results (small version)

This is small part of results from simulating a flood event occured in January-2005 at Waikanae River in Wellington, New Zealand. These results are from quantifying the uncertainty in flood predictions due to arbitrary conventions in grid alignment. We transformed the grid alignment, used different resolutions, and different flood peak return periods to generate multiple simulations to analyse the uncertainty. Please notice that the full datasets are not provided here due to its large amount (approximately 4 TB).There are 13 7zip files represents for 13 simulations, a zip of twelve jupyter notebook files to check/regenate the results shortly with all avaiable simulations, a zip of three python modules to support these tasks, a yaml file to create a conda environment, a zip shapefile of building, and a READ_ME.txt. Please read the READ_ME.txt file for the instuctions. If you need further information please contact the author through [e-mail].