Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

HESS Opinions: The need for process-based evaluation of large-domain hyper-resolution models

Lieke Melsen, Adriaan J. Teuling, P.J.J.F. Torfs, R. Uijlenhoet, Naoki Mizukami, Martyn Clark

Hydrology and earth system sciences · 2016

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Summary

This opinion article presents a meta-analysis of 192 peer-reviewed applications of the Variable Infiltration Capacity model, demonstrating a historical mismatch between increasing spatial resolution and static calibration–validation timeframes. The authors argue that hyper-resolution hydrological modelling requires proportionally refined temporal evaluation windows to capture process-relevant dynamics, and identify six distinct time concepts that influence model outcomes and credibility.

UK applicability

The findings are methodologically relevant to UK hydrological research and water resource management, particularly for catchment-scale and distributed hydrological modelling used in flood forecasting and water availability assessments. The argument for process-based evaluation of high-resolution models would apply to UK applications of VIC and similar distributed models.

Key measures

Spatial resolution trends; calibration and validation time intervals; temporal alignment between model resolution and evaluation period

Outcomes reported

A meta-analysis of 192 articles on the Variable Infiltration Capacity (VIC) model revealed that spatial resolution has increased over time whilst calibration and validation intervals have remained static. The authors identified six time concepts in hydrological models and argue for process-based evaluation aligned with applied spatial resolution.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Meta-analysis
Study design
Meta-analysis
Source type
Peer-reviewed study
Status
Published
System type
Other
DOI
10.5194/hess-20-1069-2016
Catalogue ID
BFmor3gf2d-0i5jhb

Topic tags

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