Taking into account karst in global-scale groundwater recharge modeling ...
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) Moeck et al. (2020), (2) Mohan et...
| Main Authors: | , , |
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| Format: | Dataset |
| Language: | unknown |
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figshare
2023
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| Online Access: | https://dx.doi.org/10.6084/m9.figshare.23592666.v1 https://figshare.com/articles/dataset/Taking_into_account_karst_in_global-scale_groundwater_recharge_modeling/23592666/1 |
| Summary: | 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) Moeck et al. (2020), (2) Mohan et al. (2018), (3) Scanlon et al. (2006), (4) Döll & Fiedler (2008), (5) MacDonald et al. (2021), and (6) Hartmann et al. (2015). 3. The updated global 0.5° cell GWR, karstification fraction, relief-, soil texture-, hydrogeology-, and permafrost/glacier-related factors, and GWR per grid cell. ... |
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