Optimization of global-scale groundwater recharge modeling by taking into account ground-based estimates for karst and non-karst areas ...
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 a...
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 https://figshare.com/articles/dataset/Taking_into_account_karst_in_global-scale_groundwater_recharge_modeling/23592666 |
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 for two different climate inputs: GSWP3-W5E5 and GSWP3-ERA5. ... |
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