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Global-scale groundwater recharge modeling is improved by tuning against ground-based estimates for karst and non-karst areas

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DataCite Commons2024-01-13 更新2024-08-18 收录
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https://figshare.com/articles/dataset/Taking_into_account_karst_in_global-scale_groundwater_recharge_modeling/23592666
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1. Global ground-based GWR estimates allocated to the 0.5º by 0.5º grid cells of WaterGAP, including 64 estimates from karst studies and the rest for non-karst areas.2. The six major datasets used for compiling the ground-based GWR estimates dataset, including (1) MacDonald et al. (2021), (2) Moeck et al. (2020), (3) Mohan et al. (2018), (4) Döll & Fiedler (2008), (5) Scanlon et al. (2006), (6) Hartmann et al. (2015). The comparison of the respective datasets is found in Table 1 in our paper.3. The updated global 0.5° cell GWR, karstification fraction, relief-, soil texture-, hydrogeology-, and permafrost/glacier-related factors, and GWR per grid cell for two different climate inputs: GSWP3-W5E5 and GSWP3-ERA5.
提供机构:
figshare
创建时间:
2023-06-28
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