Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

GMD perspective: The quest to improve the evaluation of groundwater representation in continental- to global-scale models

Tom Gleeson, Thorsten Wagener, Petra Döll, Samuel C. Zipper, Charles P. West, Yoshihide Wada, Richard G. Taylor, Bridget R. Scanlon, Rafael Rosolem, Shams Rahman, Nurudeen Oshinlaja, R. M. Maxwell, Min‐Hui Lo, Hyungjun Kim, Mary C. Hill, Andreas Hartmann, Graham E. Fogg, J. S. Famiglietti, Agnès Ducharne, Inge de Graaf, Mark Cuthbert, Laura E. Condon, Étienne Bresciani, Marc F. P. Bierkens

Geoscientific model development · 2021

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Summary

This perspective paper addresses the challenge of evaluating groundwater representation in large-scale continental and global hydrologic models. Rather than expecting such models to reproduce fine-scale regional detail, the authors argue that evaluation should assess whether models adequately serve their specific large-scale science and sustainability purposes, and propose three complementary evaluation strategies (observation-based, model-based, and behavioural) to improve practice.

UK applicability

The recommendations for groundwater model evaluation are applicable to UK hydrological research and policy contexts, particularly for integrated water resource assessment and climate change impact studies. UK hydrological and environmental agencies employing large-scale groundwater models could benefit from adopting these purpose-driven evaluation frameworks.

Key measures

Groundwater level observations, groundwater state and flux variables, model performance metrics, model intercomparison approaches

Outcomes reported

The paper reviews current evaluation practices for groundwater representations in continental- to global-scale hydrologic and land surface models, and proposes recommendations for improving such evaluations. It discusses three evaluation strategies: observation-based, model-based, and behavioural comparisons.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Commentary
Study design
Narrative review
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Other
DOI
10.5194/gmd-14-7545-2021
Catalogue ID
SNmokbw00s-aaya6w

Topic tags

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