Quantifying uncertainty in flood predictions in LISFLOOD-FP due to arbitrary conventions in grid alignment in LiDAR-derived digital elevation models
收藏DataCite Commons2024-09-11 更新2025-04-16 收录
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https://figshare.canterbury.ac.nz/articles/dataset/Quantifying_uncertainty_in_flood_predictions_in_LISFLOOD-FP_due_to_arbitrary_conventions_in_grid_alignment_in_LiDAR-derived_digital_elevation_models/26973250/1
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资源简介:
Here is a part of results from simulating a flood event occured in January-2005 at Waikanae River in Wellington, New Zealand. We transformed the grid alignment, used different resolutions, and different flood peak return periods to generate multiple simulation to analyse the uncertainty. Please see here for more information. Please also notice that the full dataset are not provided here due to its large amountThere are 13 7zip files represents for 13 simulations, a zip of eight 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 authors through tmn52@uclive.ac.nz.
提供机构:
University of Canterbury Data Repository
创建时间:
2024-09-11



