数据链接:
官方服务:
资源简介:
This repository holds a distributed F-IDF product produced by CREST hydrologic model and Machine Learning method.
应用场景:
创建时间:
2023-07-21
相关数据集
4DHydro_Results_Tetis_Tugela_0p0667deg_daily_exp20_19880101_20221231
Modeling results with TETIS software, for Tugela River with a spatial resolution of 0.0667 degrees, and temporal resolution daily. Experiment 20. Forcing Chirps Includes results for the following var
Zenodo2024-11-18 更新30
A Cell-Based, Dynamic Flow Direction Model (DFD Model) for Water Balance Calculations Simulating Overland Runoff through Depressions Implemented using Python and GIS
A Cell-Based, Dynamic Flow Direction Model (DFD Model) for Water Balance Calculations Simulating Overland Runoff through Depressions Implemented using Python and GIS
Figshare2022-09-17 更新20
hydromt-wflow-data
HydroMT-wflowbuild/ test data For individual dataset licenses, check either the yaml or the original dataset provider. v0.1.1: Added more to the unit build-data, added old Artifact data w/ demand an
Zenodo2025-04-22 更新10
DK-model2019 - modelsetup (area: DK1, DK2)
This .zip file contains DK-model2019, area DK1 and DK2 (Sjælland og Øerne), as a coupled MIKE SHE/MIKE HYDRO River model setup. The National Hydrological Model (DK-Model) is set up in the MIKE SHE/MIK
GEUS Dataverse2022-01-01 更新30
HydroDS TOPNET model input setup Python scripts
This script executes the HydroDS tasks required to prepare TOPNET inputs for the use case reported in Gichamo, T. Z., N. S. Sazib, D. G. Tarboton and P. Dash, (2020), "HydroDS: Data Services in Su
DataCite Commons2025-12-12 更新10



