Bridging the gap: a new module for human water use in the Community Earth System Model version 2.2.1

S. I. Taranu, D. M. Lawrence, Y. Wada, T. Tang, E. Kluzek, S. Rabin, Yi Yao, S. J. De Hertog, I. Vanderkelen, W. Thiery

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Abstract

Water scarcity is exacerbated by rising water use and climate change, yet state-of-the-art Earth system models typically do not represent human water demand. Here we present an enhancement to the Community Earth System Model (CESM) and its land (CLM5) and river (MOSART) components by introducing sectoral water abstractions. The new module enables a better understanding of water demand and supply dynamics across various sectors, including domestic, livestock, thermoelectric, manufacturing, mining, and irrigation. The module conserves water by integrating abstractions from the land component with river component flows and dynamically calculates daily water scarcity based on local demand and supply. Through land-only simulations spanning 1971-2010, we verify our model against known water scarcity hotspots, historical global water withdrawal trends, and regional variations in water use. Our findings show that non-irrigative sectoral consumption has an insignificant effect on regional climate, while emphasizing the importance of including all sectors for water scarcity assessment capabilities. Despite its advancements, the model's limitations, such as its exclusive focus on river water abstractions, highlight areas for potential future refinement. This research paves the way for a more holistic representation of human-water interactions in ESMs, aiming to inform sustainable water management decisions in an evolving global landscape.

Original languageEnglish
Pages (from-to)7365-7399
Number of pages35
JournalGeoscientific Model Development
Volume17
Issue number20
DOIs
Publication statusPublished - 17 Oct 2024

Bibliographical note

Funding Information:
This research has been supported by the European Union\u2019s Horizon 2021 research and innovation programme under the Marie Sk\u0142odowska-Curie Actions European Training Network, MSCA-ITN-ETN (grant no. 956623), and the inventWater (Inventive forecasting tools for adapting water quality management to a new climate) Project.

Funding Information:
The authors thank the National Center for Atmospheric Research (NCAR), and in particular the Climate and Global Dynamics Laboratory, for hosting Sabin I. Taranu for a 1-month research stay. We would like to acknowledge high-performance computing support from Cheyenne ( 10.5065/D6RX99HX , ) provided by NCAR's Computational and Information Systems Laboratory and sponsored by the National Science Foundation.

Publisher Copyright:
Copyright © 2024 Sabin I. Taranu et al.

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