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Source code for the Global Groundwater Withdrawal (GGW) model

Authors: Nazari, Sara;

Source code for the Global Groundwater Withdrawal (GGW) model

Abstract

Global Groundwater Withdrawal Model v1.0 Overview Global Groundwater Withdrawal (GGW) model is a data-driven framework developed to estimate annual groundwater withdrawal (GWW) across three main sectors: domestic, industrial, and agricultural. Implemented in Python, the model operates at a spatial resolution of 0.1° and is used here to estimate annual withdrawal from 2001 to 2020. Installation To install and set up the Global Groundwater Withdrawal Model, follow the instructions in the README file. Licence This project is released under the GNU General Public License. Reference Nazari et al. (2025) "Global estimates of groundwater withdrawal trends and uncertainties", Environmental Research Letters. Please consider citing this article when using the GGW model in your research or projects. Repository URL If you have any questions, please contact sara.nazari@leibniz-zmt.de

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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