Preprints
https://doi.org/10.5194/gmd-2022-24
https://doi.org/10.5194/gmd-2022-24
Submitted as: methods for assessment of models
14 Apr 2022
Submitted as: methods for assessment of models | 14 Apr 2022
Status: this preprint is currently under review for the journal GMD.

Regional coupled surface-subsurface hydrological model fitting based on a spatially distributed minimalist reduction of frequency-domain discharge data

Nicolas Flipo1, Nicolas Gallois1, and Jonathan Schuite2,1 Nicolas Flipo et al.
  • 1Geosciences department, MINES ParisTech, PSL University, 35 Rue Saint-Honoré, 77 305 Fontainebleau, France
  • 2TerraScience, 24 120 Terrasson-Lavilledieu, France

Abstract. Although integrated water resources models are indispensable tools for water management at various scales, it is of primary importance to ensure their proper fitting on hydrological variables, avoiding flaws related to equifinality. An innovative step-wise fitting methodology is therefore proposed, which can be applied for any river basin model, from catchment to continental scale as far as hydrological models or land surface models are concerned. The methodology focuses on hydrosystems considering both surface water and groundwater, as well as internal water fluxes such as river baseflow. It is based on the thorough analysis of hydrological signal transformation by various components of a coupled surface--subsurface hydrosystem, in a nested approach, that considers the conditionality of parameter fields on their input forcing fluxes.

The methodology is based on the decomposition of hydrological signal in the frequency domain with the HYMIT (HYdrological MInimalist Transfer function) method (Schuite et al., 2019). Parameters derived from HYMIT are used to fit the coupled surface–subsurface hydrological model CaWaQS3.03 using a step-wise methodology, which relies on successive Markov chain Monte Carlo optimizations, related to various objective functions representing the dependency of the hydrological parameters fields on forcing input fluxes. This new methodology enables significant progress to be made in terms of the spatial distribution of the model parameters and the water balance components, at the regional scale. The use of many control stations such as discharge gauging stations with HYMIT leads to a coarse parameter distribution that is then refined by the fitting of CaWaQS parameters on its own mesh.

The step-wise methodology is exemplified with the Seine River basin (~76,000 km2). In particular, it made it possible to spatially identify fundamental hydrological values, such as rainfall partitioning into actual evapotranspiration, as well as runoff and aquifer recharge through its impluvium, in both the time and frequency domains. Such a fitted model facilitates the analysis of both the overall and detailed territorial functioning of the river basin, including explicitly the aquifer system. A reference piezometric map of the upmost free aquifer units and a water budget of the Seine basin are established, detailing all external and internal fluxes up to the exchanges between the eight simulated aquifer layers. The results showed that the overall contribution of the aquifer system to the river discharge of the river network in the Seine basin varies spatially within a wide range (5–96 %), with an overall contribution at the outlet of the basin of 67 %. The geological substratum greatly influences the contribution of groundwater to the river discharge.

Nicolas Flipo et al.

Status: open (until 09 Jun 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Nicolas Flipo et al.

Nicolas Flipo et al.

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Short summary
A new approach is proposed to fit hydrological or land surface models, which suffer from large uncertainties in terms of water partitioning between fast runoff and slow infiltration from small watersheds to regional/continental river basins. It is based on the analysis of hydrosystems’ behaviour in the frequency domain, which serves as a basis for estimating water flows in the time domain with a physically-based model. It opens the way to significant breakthroughs in hydrological modeling.