Comparison of four regionalisation methods for a distributed hydrological model

Götzinger, J.; Bàrdossy, András

doi:10.1016/j.jhydrol.2006.09.008

Cited by 113 publications

(99 citation statements)

References 13 publications

(18 reference statements)

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“…According to Samaniego et al (2010b), these approaches can be broadly classified into post-regionalization and simultaneous regionalization approaches, depending on if the regionalization function parameters (or global parameters) are estimated after (Abdulla and Lettenmaier, 1997;Seibert, 1999;Wagener and Wheater, 2006;Livneh and Lettenmaier, 2013) or during the model calibration (Fernandez et al, 2000;Hundecha and Bárdossy, 2004;Gotzinger and Bárdossy, 2007;Pokhrel and Gupta, 2010). None of these procedures consider the subgrid variability of the model parameters or geophysical characteristics.…”

Section: The State Of the Artmentioning

confidence: 99%

Toward seamless hydrologic predictions across spatial scales

Samaniego

Kumar

Thober

et al. 2017

Hydrol. Earth Syst. Sci.

111

134

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Abstract. Land surface and hydrologic models (LSMs/HMs) are used at diverse spatial resolutions ranging from catchment-scale (1-10 km) to global-scale (over 50 km) applications. Applying the same model structure at different spatial scales requires that the model estimates similar fluxes independent of the chosen resolution, i.e., fulfills a fluxmatching condition across scales. An analysis of state-of-theart LSMs and HMs reveals that most do not have consistent hydrologic parameter fields. Multiple experiments with the mHM, Noah-MP, PCR-GLOBWB, and WaterGAP models demonstrate the pitfalls of deficient parameterization practices currently used in most operational models, which are insufficient to satisfy the flux-matching condition. These examples demonstrate that J. Dooge's 1982 statement on the unsolved problem of parameterization in these models remains true. Based on a review of existing parameter regionalization techniques, we postulate that the multiscale parameter regionalization (MPR) technique offers a practical and robust method that provides consistent (seamless) parameter and flux fields across scales. Herein, we develop a general model protocol to describe how MPR can be applied to a particular model and present an example application using the PCR-GLOBWB model. Finally, we discuss potential advantages and limitations of MPR in obtaining the seamless prediction of hydrological fluxes and states across spatial scales.

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Section: The State Of the Artmentioning

confidence: 99%

Toward seamless hydrologic predictions across spatial scales

Samaniego

Kumar

Thober

et al. 2017

Hydrol. Earth Syst. Sci.

111

134

View full text Add to dashboard Cite

show abstract

“…To exemplify this kind of situation using a real world example, Figure 2 shows maps of the Neckar catchment in Germany, where GW-SW was intensively studied in integrated modelling projects (Barthel et al 2008a;Götzinger and Bardossy 2007;Götzinger et al 2008, see also section 3.3). It is obvious that in such a large heterogeneous catchment, various processes with strong interdependencies function at different spatial and temporal scales.…”

Section: Characteristics Of the Regional Scalementioning

confidence: 99%

“…& How should we deal with heterogeneity, how do we scale up processes, properties and model parameters (see, e.g. Bárdossy and Singh 2011;de Marsily et al 2005;Fleckenstein et al 2006;Götzinger and Bardossy 2007;McDonnell et al 2007;Noetinger et al 2005;Samaniego et al 2010;Vermeulen et al 2006)?…”

Section: Regional Integrated Modelling In View Of General Challenges mentioning

confidence: 99%

Groundwater and Surface Water Interaction at the Regional-scale – A Review with Focus on Regional Integrated Models

Barthel

Banzhaf

2015

Water Resour Manage

201

124

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Scientists and practitioners agree that integrated water resource management is necessary, with an increasing need for research at the regional scale (10 3 to 10 5 km 2 ). At this scale interactions between environmental and human systems are fully developed and global change is linked to local actions. The groundwater-surface water interaction (GW-SW) is of particular interest. Herein we review the scientific journal literature and examine GW-SW at the regional scale. We briefly review all existing literature on GW-SW, then summarise its characteristics at different scales and identify specific challenges of the regional scale. We explore whether GW-SW should be treated differently at regional and local scales. Regional GW-SW is rarely examined in experimental field studies, which almost exclusively cover small areas. However, GW-SW is often integral to large scale coupled models. Thus, we collate information about existing models and their regional applications. Fully coupled, physics-based models have great potential to meet the technical challenges. However, limited data availability hampers the application of complex models at the regional scale and loosely coupled schemes are more widely applied. Many integrated modelling concepts have been published, but none have been applied in a wide range of settings. Thus, it is impossible to compare the performance of different approaches. Comparative analyses of existing regional scale integrated models in the context of different data availability and geographic conditions are needed. Unfortunately, peer-reviewed journal literature no longer provides a representative picture of the subject as models are becoming Btoo big to be published^or too pragmatic.

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“…An example of such an approach toward modeling was mentioned by Götzinger and Bárdossy (2007), where they impose the Lipschitz and monotonic conditions to avoid the abrupt jump in soil moisture values for the neighboring cells of a distributed model based on the physical premises that such jumps are numerical artifacts and hydrologically unrealistic. Such kinds of information, which are not explicitly provided during model calibration, act as constraints to limit the feasible extent of the model parameter space, thus resulting in physically more meaningful model simulations.…”

Section: S Gharari Et Al: Constraint-based Parameter Identificationmentioning

confidence: 99%

A constraint-based search algorithm for parameter identification of environmental models

Gharari

Shafiei

Hrachowitz

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. Many environmental systems models, such as conceptual rainfall-runoff models, rely on model calibration for parameter identification. For this, an observed output time series (such as runoff) is needed, but frequently not available (e.g., when making predictions in ungauged basins). In this study, we provide an alternative approach for parameter identification using constraints based on two types of restrictions derived from prior (or expert) knowledge. The first, called parameter constraints, restricts the solution space based on realistic relationships that must hold between the different model parameters while the second, called process constraints requires that additional realism relationships between the fluxes and state variables must be satisfied. Specifically, we propose a search algorithm for finding parameter sets that simultaneously satisfy such constraints, based on stepwise sampling of the parameter space. Such parameter sets have the desirable property of being consistent with the modeler's intuition of how the catchment functions, and can (if necessary) serve as prior information for further investigations by reducing the prior uncertainties associated with both calibration and prediction.

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Comparison of four regionalisation methods for a distributed hydrological model

Cited by 113 publications

References 13 publications

Toward seamless hydrologic predictions across spatial scales

Toward seamless hydrologic predictions across spatial scales

Groundwater and Surface Water Interaction at the Regional-scale – A Review with Focus on Regional Integrated Models

A constraint-based search algorithm for parameter identification of environmental models

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