Training and validation dataset
收藏Mendeley Data2024-05-10 更新2024-06-27 收录
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https://zenodo.org/records/8092323
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资源简介：
Hybrid streamflow modelling using machine learning and multi-model combination Global Hydrological model outputs that have been processed and divided into different validation setups in an effort to improve streamflow forecasts. The dataset included the following validation setups: all_stations, elbe, maas, elbe_catch,, maas_catch, rhine_catch, rhine_only, rhine_pcr. The GitHub repository contains comprehensive pre-processing instructions.
创建时间：
2023-07-14
