mesoscale Hydrologic Model - mHM v5.11.2

Samaniego, Luis; Brenner, Johannes; Craven, J. D.; Cuntz, Matthias; Dalmasso, Giovanni; Demirel, Cüneyd M.; Döring, Nicola; Jing, Miao; Kaluza, Maren; Kumar, Rohini; Langenberg, Ben; Mai, Juliane; Müller, Sebastian; Musuuza, Jude; Prykhodko, Vladyslav; Rakovec, Oldřich; Schäfer, David; Schneider, Christoph; Schrön, Martin; Schüler, Lennart; Schweppe, Robert; Shrestha, Pallav Kumar; Spieler, Diana; Stisen, Simon; Thober, Stephan; Zink, Matthias; Attinger, Sabine

doi:10.5281/zenodo.5119952

Cited by 2 publications

(1 citation statement)

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“…mHM is a spatially explicit hydrological model (Samaniego et al, 2010;Samaniego et al, 2021). It considers a wide range of surface processes such as canopy interception, snow accumulation and melting, soil moisture dynamics, infiltration and surface runoff, evapotranspiration, baseflow, discharge attenuation, and flow routing (Samaniego et al, 2010;Kumar et al, 2013).…”

Section: Code Descriptionmentioning

confidence: 99%

Towards the construction of representative regional hydro(geo)logical numerical models: Modelling the upper Danube basin as a starting point

Pujades

Kumar²,

Houben³

et al. 2023

Front. Earth Sci.

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Introduction: Pressure on groundwater resources is increasing rapidly by population growth and climate change effects. Thus, it is urgent to quantify their availability and determine their dynamics at a global scale to assess the impacts of climate change or anthropogenically induced pressure, and to support water management strategies. In this context, regional hydrogeological numerical models become essential to simulate the behavior of groundwater resources. However, the construction of global hydrogeological models faces a lot of challenges that affect their accuracy.Methods: In this work, using the German portion of the Upper Danube Basin (∼43,000 km2) we outline common challenges encountered in parameterizing a regional-scale groundwater model, and provide an innovative approach to efficiently tackle such challenges. The hydrogeological model of the Danube consists of the groundwater finite element code OpenGeoSys forced by the groundwater recharge of the surface hydrological model mHM.Results: The main novelties of the suggested approach are 1) the use of spectral analyses of the river baseflow and a steady state calibration taking as reference the topography to constraint the hydraulic parameters and facilitate the calibration process, and 2) the calibration of the hydraulic parameters for a transient state model by considering parameters derived from the piezometric head evolution.Discussion/conclusion: The results show that the proposed methodology is useful to build a reliable large-scale groundwater model. Finally, the suggested approach is compared with the standard one used by other authors for the construction of global models. The comparison shows that the proposed approach allows for obtaining more reliable results, especially in mountainous areas.

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Section: Code Descriptionmentioning

confidence: 99%

Towards the construction of representative regional hydro(geo)logical numerical models: Modelling the upper Danube basin as a starting point

Pujades

Kumar²,

Houben³

et al. 2023

Front. Earth Sci.

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Tradeoffs Between Temporal and Spatial Pattern Calibration and Their Impacts on Robustness and Transferability of Hydrologic Model Parameters to Ungauged Basins

Demirel,

Koch,

Rakovec

et al. 2024

Water Resources Research

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Optimization of spatially consistent parameter fields is believed to increase the robustness of parameter estimation and its transferability to ungauged basins. The current paper extends previous multi‐objective and transferability studies by exploring the value of both multi‐basin and spatial pattern calibration of distributed hydrologic models as compared to single‐basin and single‐objective model calibrations, with respect to tradeoffs, performance and transferability. The mesoscale Hydrological Model (mHM) is used across six large central European basins. Model simulations are evaluated against streamflow observations at the basin outlets and remotely sensed evapotranspiration patterns. Several model validation experiments are performed through combinations of single‐ (temporal evaluation through discharge) and multi‐objective (temporal and spatial evaluation through discharge and spatial evapotranspiration patterns) calibrations with holdout experiments saving alternating basins for model evaluation. The study shows that there are very minimal tradeoffs between spatial and temporal performance objectives and that a joint calibration of multiple basins using multiple objective functions provides the most robust estimations of parameter fields that perform better when transferred to ungauged basins. The study indicates that particularly the multi‐basin calibration approach is key for robust parametrizations, and that the addition of an objective function tailored for matching spatial patterns of ET fields alters the spatial parameter fields while significantly improving the spatial pattern performance without any tradeoffs with discharge performance. In light of model equifinality, the minimal tradeoff between spatial and temporal performance shows that adding spatial pattern evaluation to the traditional temporal evaluation of hydrological models can assist in identifying optimal parameter sets.

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mesoscale Hydrologic Model - mHM v5.11.2

Cited by 2 publications

References 0 publications

Towards the construction of representative regional hydro(geo)logical numerical models: Modelling the upper Danube basin as a starting point

Towards the construction of representative regional hydro(geo)logical numerical models: Modelling the upper Danube basin as a starting point

Tradeoffs Between Temporal and Spatial Pattern Calibration and Their Impacts on Robustness and Transferability of Hydrologic Model Parameters to Ungauged Basins

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