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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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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cites cdi_FETCH-LOGICAL-a492t-8ae426f1332cefb88ed241d07fda62546b6ad8e491e03e8ab3cb52e171c7cef63
container_end_page 1566
container_issue 7
container_start_page 1539
container_title Hydrology and earth system sciences
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creator Thébault, Cyril
Perrin, Charles
Andréassian, Vazken
Thirel, Guillaume
Legrand, Sébastien
Delaigue, Olivier
description 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?
doi_str_mv 10.5194/hess-28-1539-2024
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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
title Multi-model approach in a variable spatial framework for streamflow simulation
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