Training and validation dataset
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<strong>Hybrid streamflow modelling using machine learning and multi-model combination</strong> 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: <em> all_stations, elbe, maas, elbe_catch,, maas_catch, rhine_catch, rhine_only, rhine_pcr.</em> The GitHub repository contains comprehensive pre-processing instructions.<br> <br>
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Zenodo创建时间：
2023-06-28
