Multi-model approach in a variable spatial framework for streamflow simulation

Accounting for the variability of hydrological processes and climate conditions between catchments and within catchments remains a challenge in rainfall-runoff modelling. Among the many approaches developed over the past decades, multi-model approaches provide a way to consider the uncertainty linke...

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Bibliographic Details
Published in:Hydrology and earth system sciences 2024-04, Vol.28 (7), p.1539-1566
Main Authors: Thébault, Cyril, Perrin, Charles, Andréassian, Vazken, Thirel, Guillaume, Legrand, Sébastien, Delaigue, Olivier
Format: Article
Language:English
Subjects:
Analysis
Anthropogenic factors
Calibration
Catchment area
Catchments
Climatic conditions
Earth Sciences
Evapotranspiration
Human influences
Hydrologic data
Hydrologic models
Hydrologic processes
Hydrology
Life Sciences
Methods
Modelling
Parameter estimation
Potential evapotranspiration
Precipitation
Rain
Rain and rainfall
Rainfall-runoff modeling
Rainfall-runoff relationships
Runoff
Sciences of the Universe
Simulation
Spatial variability
Spatial variations
Stream discharge
Stream flow
Streamflow
Streamflow data
Time series
Variability
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Summary:Accounting for the variability of hydrological processes and climate conditions between catchments and within catchments remains a challenge in rainfall-runoff modelling. Among the many approaches developed over the past decades, multi-model approaches provide a way to consider the uncertainty linked to the choice of model structure and its parameter estimates. Semi-distributed approaches make it possible to account explicitly for spatial variability while maintaining a limited level of complexity. However, these two approaches have rarely been used together. Such a combination would allow us to take advantage of both methods. The aim of this work is to answer the following question: what is the possible contribution of a multi-model approach within a variable spatial framework compared to lumped single models for streamflow simulation?
ISSN:1607-7938
1027-5606
1607-7938
DOI:10.5194/hess-28-1539-2024