Nazari, Sara; Reinecke, Robert; Moosdorf, Nils (2025): Global sectoral groundwater withdrawal: estimates and uncertainty analysis [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.982842
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Published: 2025-08-07 • DOI registered: 2025-08-20
Abstract:
Groundwater, Earth's largest source of liquid freshwater, is vital for sustaining ecosystems and meeting societal needs. However, quantifying global groundwater withdrawals remains a challenge due to significant uncertainties. This dataset provides global groundwater withdrawal estimates from 2001 to 2020, derived using the data-driven Global Groundwater Withdrawal (GGW) model. The GGW model estimates annual groundwater withdrawals across domestic, industrial, and agricultural sectors at a 0.1° spatial resolution. Implemented in Python, it integrates reported country-level data with global grid-based datasets to generate sectoral withdrawal estimates. Additionally, this dataset includes an uncertainty assessment based on key input variables, such as total country-level withdrawals, sector-specific fractions, European sectoral data, irrigation efficiency, and return flow fractions. The uncertainty analysis employs Latin Hypercube Sampling (LHS), with 1000 Monte Carlo simulations to quantify variability.
Supplement to:
Nazari, Sara; Reinecke, Robert; Moosdorf, Nils (2025): Global estimates of groundwater withdrawal trends and uncertainties. Environmental Research Letters, 20(9), 094043, https://doi.org/10.1088/1748-9326/adf6ca
Related to:
Maus, Victor; Giljum, Stefan; Gutschlhofer, Jakob; da Silva, Dieison M; Probst, Michael; Gass, Sidnei L B; Luckeneder, Sebastian; Lieber, Mirko; McCallum, Ian (2020): Global-scale mining polygons (Version 1) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.910894
References:
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Comment:
Source "Global Human Settlement Layer: Population and built-up estimates, and degree of urbanization settlement model grid (Version 1.00)" last accessed: 2025-08-06
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | netCDF file | netCDF | Nazari, Sara | |||
| 2 | netCDF file (File Size) | netCDF (Size) | Bytes | Nazari, Sara | ||
| 3 | netCDF file (Media Type) | netCDF (Type) | Nazari, Sara | |||
| 4 | netCDF file (MD5 Hash) | netCDF (Hash) | Nazari, Sara |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
9 data points