Web-based modelling of energy, water and matter fluxes to support decision making in mesoscale catchments––the integrative perspective of GLOWA-Danube

Ludwig, Ralf; Mauser, Wolfram; Niemeyer, Simon; Colgan, A.; Stolz, Roswitha; Escher‐Vetter, Heidi; Kühn, Michael; Reichstein, Markus; Tenhunen, John; Kraus, Andreas; Ludwig, Matthias; Barth, Michael; Hennicker, Rolf

doi:10.1016/s1474-7065(03)00108-6

Cited by 64 publications

(41 citation statements)

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“…Despite this, it seems that there is very little guidance available in scientific publications about how to approach GW-SW at the regional scale. Over recent years, the first author has put considerable effort into developing integrated models of the hydrological cycle at the regional scale (Barthel et al 2008a;Barthel et al 2012;Gaiser et al 2008;Ludwig et al 2003). These efforts ran into a multitude of problems which had not been described or solved previously (see, e.g.…”

Section: Objectives and Scope Of This Reviewmentioning

confidence: 99%

“…This makes it hard to evaluate the true potential of an approach. Our own experiences from the GLOWA-Danube project for the Upper Danube catchment (77,000 km², Barthel et al 2012;Ludwig et al 2003) and in the RiverTwin project for the Neckar catchment (14,000 km², Barthel et al 2008a;Gaiser et al 2008) in Germany gave deeper insights of the tremendous challenges associated with integrated modelling at the regional scale. Some of these difficulties have been discussed in detail in previous publications (Barthel 2006;Barthel et al 2008a;Götzinger et al 2008;Rojanschi et al 2006;Wolf et al 2008).…”

Section: Application Potential and Limitations Of Loosely Coupled Schmentioning

confidence: 99%

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

Barthel

Banzhaf

2015

Water Resour Manage

188

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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Section: Objectives and Scope Of This Reviewmentioning

confidence: 99%

Section: Application Potential and Limitations Of Loosely Coupled Schmentioning

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

188

124

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“…1). DANUBIA is a fully coupled modeling system developed to study important processes and feedback related to water resources from both the natural and social science perspectives (Ludwig et al 2003). It consists of 18 separate model components and a central framework that controls data exchange and temporal sequences (Barth et al 2004;Hennicker et al 2010).…”

Section: Modeling Framework and Study Areamentioning

confidence: 99%

Global change impacts on the Upper Danube Catchment (Central Europe): a study of participatory modeling

et al. 2015

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Participatory modeling (PM) has become an essential concept in environmental impact assessment and planning in the field of water resources. In this paper, we focus on the use of PM to support the development of the integrated regional modeling system DANUBIA as a scientific concept to analyze the previously unknown impacts of global change, i.e., the combined effects of climate, demographic, economic, social and ecological change, on the Upper Danube Catchment (Germany). We use this case study to examine the specific conditions for PM in the field of complex integrated models on a regional scale. We describe the stepwise PM process and discuss the respective results, focusing on (1) the stakeholder dialogue's contribution in supporting the development of new, complex modeling systems, particularly on a regional scale, (2) conditions of stakeholder involvement in issues related to the distant future, such as climate change impacts on regional water availability, and (3) limitations of PM and scientists' motivation to carry out participatory research at all. We conclude that the PM process was not entirely successful in improving the scientific quality and practical applicability of the developed models because the process goals were manifold and overambitious, and the definition of the problem of ''global change impacts on a regional scale'' was too weak and uncertain to allow for a clear common objective of modelers and stakeholders. We claim that there is a lack of incentives for scientists, particularly natural scientists, to commit to PM activities.

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“…This region has been the subject of a wide range of hydrological, remote sensing and global change studies, e.g., Mauser and Schädlich (1998), Ludwig and Mauser (2000), Bach et al (2003), Ludwig et al (2003), Probeck et al (2005), Loew et al (2006) and Mauser and Bach (2009). The Vils test site is roughly the size of the mean spatial resolution of SMOS and is situated in the northeast of the Upper Danube Catchment in an undulating terrain that is used agriculturally.…”

Section: Study Area and In Situ Datamentioning

confidence: 99%

Analysis of SMOS brightness temperature and vegetation optical depth data with coupled land surface and radiative transfer models in Southern Germany

Schlenz¹,

Dall'Amico²,

Mauser³

et al. 2012

Hydrol. Earth Syst. Sci.

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Abstract. Soil Moisture and Ocean Salinity (SMOS) L1c brightness temperature and L2 optical depth data are analysed with a coupled land surface (PROMET) and radiative transfer model (L-MEB). The coupled models are validated with ground and airborne measurements under contrasting soil moisture, vegetation and land surface temperature conditions during the SMOS Validation Campaign in May and June 2010 in the SMOS test site Upper Danube Catchment in southern Germany. The brightness temperature root-meansquared errors are between 6 K and 9 K. The L-MEB parameterisation is considered appropriate under local conditions even though it might possibly be further optimised. SMOS L1c brightness temperature data are processed and analysed in the Upper Danube Catchment using the coupled models in 2011 and during the SMOS Validation Campaign 2010 together with airborne L-band brightness temperature data. Only low to fair correlations are found for this comparison (R between 0.1-0.41). SMOS L1c brightness temperature data do not show the expected seasonal behaviour and are positively biased. It is concluded that RFI is responsible for a considerable part of the observed problems in the SMOS data products in the Upper Danube Catchment. This is consistent with the observed dry bias in the SMOS L2 soil moisture products which can also be related to RFI. It is confirmed that the brightness temperature data from the lower SMOS look angles and the horizontal polarisation are less reliable. This information could be used to improve the brightness temperature data filtering before the soil moisture retrieval. SMOS L2 optical depth values have been compared to modelled data and are not considered a reliable source of information about vegetation due to missing seasonal behaviour and a very high mean value. A fairly strong correlation between SMOS L2 soil moisture and optical depth was found (R = 0.65) even though the two variables are considered independent in the study area. The value of coupled models as a tool for the analysis of passive microwave remote-sensing data is demonstrated by extending this SMOS data analysis from a few days during a field campaign to a longer term comparison.

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Web-based modelling of energy, water and matter fluxes to support decision making in mesoscale catchments––the integrative perspective of GLOWA-Danube

Cited by 64 publications

References 1 publication

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

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

Global change impacts on the Upper Danube Catchment (Central Europe): a study of participatory modeling

Analysis of SMOS brightness temperature and vegetation optical depth data with coupled land surface and radiative transfer models in Southern Germany

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