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Data supplement to Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions

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DataCite Commons2026-05-16 更新2026-05-03 收录
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https://envidat.ch/#/metadata/data-supplement-to-hyper-resolution-large-scale-hydrological-modelling-benefits-
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资源简介:
This data supplement contains the data associated with the manuscript: "Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions" (Janzing et al., 2025). It contains the data to create the figures in the paper and consists of model output from **PCRaster Global Water Balance Model (PCR-GLOBWB) 2.0** model over the larger Alpine region at 30 arcsec resolution. As the full model output takes up very high memory space, we here mostly provide time series for the different measurement stations used for evaluation and some additional maps needed to recreate the figures in the manuscript.
提供机构:
EnviDat
创建时间:
2025-10-13
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