Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Representation of spatial and temporal variability in large-domain hydrological models: case study for a mesoscale pre-Alpine basin

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

Hydrology and earth system sciences · 2016

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Summary

This study investigates parameter transferability across spatial and temporal resolutions in the Variable Infiltration Capacity hydrological model applied to a pre-Alpine basin in Switzerland. The research found that parameters transfer more readily across different spatial resolutions than temporal resolutions, suggesting that current large-domain models inadequately represent spatial variability and hydrologic connectivity despite appearing spatially robust. The findings highlight the need for improved representation of both spatial and temporal variability in operational hydrological modelling frameworks.

UK applicability

The methodological approach and findings on parameter transferability are directly applicable to UK hydrological modelling practice, particularly for catchment management and water resource planning in variable topography regions. The identified deficiencies in spatial variability representation may affect the reliability of hydrological models used in UK flood forecasting and land management planning.

Key measures

Parameter set overlap across spatial resolutions (1 km × 1 km, 5 km × 5 km, 10 km × 10 km, lumped) and temporal resolutions (hourly, daily, monthly); behavioural parameter identification (best 1% of 3150 model runs); model performance under uniform and distributed forcing

Outcomes reported

The study evaluated the transferability of model parameters across four spatial resolutions (1 km to lumped) and three temporal resolutions (hourly to monthly) using the Variable Infiltration Capacity model for the Thur basin. It measured the overlap in behavioural parameter sets as an indicator of how well spatial and temporal variability is represented in large-domain hydrological models.

Theme
Climate & resilience
Subject
Measurement methods & nutrient profiling
Study type
Research
Study design
Field trial / Model simulation study
Source type
Peer-reviewed study
Status
Published
Geography
Switzerland
System type
Other
DOI
10.5194/hess-20-2207-2016
Catalogue ID
BFmor3gf2d-b74bji

Topic tags

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