Regionalization Learning Data: Version 0.2
收藏Zenodo2024-03-31 更新2026-04-07 收录
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https://zenodo.org/doi/10.5281/zenodo.8219495
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资源简介：
This data package supports the research paper titled "Learning Regionalization within a Differentiable High-Resolution Hydrological Model using Accurate Spatial Cost Gradients". The dataset comprises preprocessed data sourced from SCHAPI-DGPR and Météo-France, and is stored within a HDF5 file. This can be used to create the hydrological Model object of smash in order to perform various optimization methods. Spanning a duration of 6 years, from August 1, 2016, to July 31, 2022, the dataset pertains to the study area ArcMed in France.
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INRAE创建时间：
2024-03-31
