five

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

收藏
DataCite Commons2025-04-10 更新2025-04-16 收录
下载链接:
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_-_Inputs_GitHub_version_/26981689
下载链接
链接失效反馈
官方服务:
资源简介:
This is zip file of github version which shows all the inputs and process to produce simulations for uncertainty analysis. It can be also accessed through here. For more information, please contact the author at tmn52@uclive.ac.nz.
提供机构:
University of Canterbury Data Repository
创建时间:
2024-09-11
二维码
社区交流群
二维码
科研交流群
商业服务