Presentation and discussion of the high-resolution atmosphere-land-surface-subsurface simulation dataset of the simulated Neckar catchment for the period 2007-2015

Research output: Contribution to journalReview articleResearchpeer review

Authors

  • Bernd Schalge
  • Gabriele Baroni
  • Barbara Haese
  • Daniel Erdal
  • Gernot Geppert
  • Pablo Saavedra
  • Vincent Haefliger
  • Harry Vereecken
  • Sabine Attinger
  • Harald Kunstmann
  • Olaf A. Cirpka
  • Felix Ament
  • Stefan Kollet
  • Insa Neuweiler
  • Harrie Jan Hendricks Franssen
  • Clemens Simmer

External Research Organisations

  • University of Bonn
  • University of Bologna
  • University of Augsburg
  • University of Tübingen
  • University of Reading
  • Forschungszentrum Jülich
  • University of Potsdam
  • Universität Hamburg
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Details

Original languageEnglish
Pages (from-to)4437-4464
Number of pages28
JournalEarth system science data
Volume13
Issue number9
Publication statusPublished - 14 Sept 2021

Abstract

Coupled numerical models, which simulate water and energy fluxes in the subsurface-land-surface-atmosphere system in a physically consistent way, are a prerequisite for the analysis and a better understanding of heat and matter exchange fluxes at compartmental boundaries and interdependencies of states across these boundaries. Complete state evolutions generated by such models may be regarded as a proxy of the real world, provided they are run at sufficiently high resolution and incorporate the most important processes. Such a simulated reality can be used to test hypotheses on the functioning of the coupled terrestrial system. Coupled simulation systems, however, face severe problems caused by the vastly different scales of the processes acting in and between the compartments of the terrestrial system, which also hinders comprehensive tests of their realism. We used the Terrestrial Systems Modeling Platform (TerrSysMP), which couples the meteorological Consortium for Small-scale Modeling (COSMO) model, the land-surface Community Land Model (CLM), and the subsurface ParFlow model, to generate a simulated catchment for a regional terrestrial system mimicking the Neckar catchment in southwest Germany, the virtual Neckar catchment. Simulations for this catchment are made for the period 2007-2015 and at a spatial resolution of 400m for the land surface and subsurface and 1.1km for the atmosphere. Among a discussion of modeling challenges, the model performance is evaluated based on observations covering several variables of the water cycle. We find that the simulated catchment behaves in many aspects quite close to observations of the real Neckar catchment, e.g., concerning atmospheric boundary-layer height, precipitation, and runoff. But also discrepancies become apparent, both in the ability of the model to correctly simulate some processes which still need improvement, such as overland flow, and in the realism of some observation operators like the satellite-based soil moisture sensors. The whole raw dataset is available for interested users. The dataset described here is available via the CERA database (Schalge et al., 2020): 10.26050/WDCC/Neckar-VCS-v1.

ASJC Scopus subject areas

Cite this

Presentation and discussion of the high-resolution atmosphere-land-surface-subsurface simulation dataset of the simulated Neckar catchment for the period 2007-2015. / Schalge, Bernd; Baroni, Gabriele; Haese, Barbara et al.
In: Earth system science data, Vol. 13, No. 9, 14.09.2021, p. 4437-4464.

Research output: Contribution to journalReview articleResearchpeer review

Schalge, B, Baroni, G, Haese, B, Erdal, D, Geppert, G, Saavedra, P, Haefliger, V, Vereecken, H, Attinger, S, Kunstmann, H, Cirpka, OA, Ament, F, Kollet, S, Neuweiler, I, Hendricks Franssen, HJ & Simmer, C 2021, 'Presentation and discussion of the high-resolution atmosphere-land-surface-subsurface simulation dataset of the simulated Neckar catchment for the period 2007-2015', Earth system science data, vol. 13, no. 9, pp. 4437-4464. https://doi.org/10.5194/essd-13-4437-2021
Schalge, B., Baroni, G., Haese, B., Erdal, D., Geppert, G., Saavedra, P., Haefliger, V., Vereecken, H., Attinger, S., Kunstmann, H., Cirpka, O. A., Ament, F., Kollet, S., Neuweiler, I., Hendricks Franssen, H. J., & Simmer, C. (2021). Presentation and discussion of the high-resolution atmosphere-land-surface-subsurface simulation dataset of the simulated Neckar catchment for the period 2007-2015. Earth system science data, 13(9), 4437-4464. https://doi.org/10.5194/essd-13-4437-2021
Schalge B, Baroni G, Haese B, Erdal D, Geppert G, Saavedra P et al. Presentation and discussion of the high-resolution atmosphere-land-surface-subsurface simulation dataset of the simulated Neckar catchment for the period 2007-2015. Earth system science data. 2021 Sept 14;13(9):4437-4464. doi: 10.5194/essd-13-4437-2021
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title = "Presentation and discussion of the high-resolution atmosphere-land-surface-subsurface simulation dataset of the simulated Neckar catchment for the period 2007-2015",
abstract = "Coupled numerical models, which simulate water and energy fluxes in the subsurface-land-surface-atmosphere system in a physically consistent way, are a prerequisite for the analysis and a better understanding of heat and matter exchange fluxes at compartmental boundaries and interdependencies of states across these boundaries. Complete state evolutions generated by such models may be regarded as a proxy of the real world, provided they are run at sufficiently high resolution and incorporate the most important processes. Such a simulated reality can be used to test hypotheses on the functioning of the coupled terrestrial system. Coupled simulation systems, however, face severe problems caused by the vastly different scales of the processes acting in and between the compartments of the terrestrial system, which also hinders comprehensive tests of their realism. We used the Terrestrial Systems Modeling Platform (TerrSysMP), which couples the meteorological Consortium for Small-scale Modeling (COSMO) model, the land-surface Community Land Model (CLM), and the subsurface ParFlow model, to generate a simulated catchment for a regional terrestrial system mimicking the Neckar catchment in southwest Germany, the virtual Neckar catchment. Simulations for this catchment are made for the period 2007-2015 and at a spatial resolution of 400m for the land surface and subsurface and 1.1km for the atmosphere. Among a discussion of modeling challenges, the model performance is evaluated based on observations covering several variables of the water cycle. We find that the simulated catchment behaves in many aspects quite close to observations of the real Neckar catchment, e.g., concerning atmospheric boundary-layer height, precipitation, and runoff. But also discrepancies become apparent, both in the ability of the model to correctly simulate some processes which still need improvement, such as overland flow, and in the realism of some observation operators like the satellite-based soil moisture sensors. The whole raw dataset is available for interested users. The dataset described here is available via the CERA database (Schalge et al., 2020): 10.26050/WDCC/Neckar-VCS-v1.",
author = "Bernd Schalge and Gabriele Baroni and Barbara Haese and Daniel Erdal and Gernot Geppert and Pablo Saavedra and Vincent Haefliger and Harry Vereecken and Sabine Attinger and Harald Kunstmann and Cirpka, {Olaf A.} and Felix Ament and Stefan Kollet and Insa Neuweiler and {Hendricks Franssen}, {Harrie Jan} and Clemens Simmer",
note = "Funding Information: Financial support. This research has been supported by the Deutsche Forschungsgemeinschaft (DFG, FOR2131: “Data Assimilation for Improved Characterization of Fluxes across Compartmental Interfaces”) (grant nos. 243358811 and SI 606/29-2). Funding Information: Acknowledgements. The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. (http://www.gauss-centre. eu, last access: 29 July 2021) for funding this project by providing computing time through the John von Neumann Institute for Computing (NIC) on the GCS Supercomputer JUQUEEN at J{\"u}lich Supercomputing Centre (JSC). We thank the members of HPSC-TerrSys (http://www.hpsc-terrsys.de/hpsc-terrsys/ EN/Home/home_node.html, last access: 29 July 2021) and Klaus Goergen in particular for invaluable technical support with the JUQUEEN supercomputer. Furthermore, we thank Prab-hakar Shresta and Mauro Sulis for their preliminary work and introduction to the TerrSysMP modeling platform. We also acknowledge work done on an earlier version of this paper by Jehan Rihani.",
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T1 - Presentation and discussion of the high-resolution atmosphere-land-surface-subsurface simulation dataset of the simulated Neckar catchment for the period 2007-2015

AU - Schalge, Bernd

AU - Baroni, Gabriele

AU - Haese, Barbara

AU - Erdal, Daniel

AU - Geppert, Gernot

AU - Saavedra, Pablo

AU - Haefliger, Vincent

AU - Vereecken, Harry

AU - Attinger, Sabine

AU - Kunstmann, Harald

AU - Cirpka, Olaf A.

AU - Ament, Felix

AU - Kollet, Stefan

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AU - Hendricks Franssen, Harrie Jan

AU - Simmer, Clemens

N1 - Funding Information: Financial support. This research has been supported by the Deutsche Forschungsgemeinschaft (DFG, FOR2131: “Data Assimilation for Improved Characterization of Fluxes across Compartmental Interfaces”) (grant nos. 243358811 and SI 606/29-2). Funding Information: Acknowledgements. The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. (http://www.gauss-centre. eu, last access: 29 July 2021) for funding this project by providing computing time through the John von Neumann Institute for Computing (NIC) on the GCS Supercomputer JUQUEEN at Jülich Supercomputing Centre (JSC). We thank the members of HPSC-TerrSys (http://www.hpsc-terrsys.de/hpsc-terrsys/ EN/Home/home_node.html, last access: 29 July 2021) and Klaus Goergen in particular for invaluable technical support with the JUQUEEN supercomputer. Furthermore, we thank Prab-hakar Shresta and Mauro Sulis for their preliminary work and introduction to the TerrSysMP modeling platform. We also acknowledge work done on an earlier version of this paper by Jehan Rihani.

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Y1 - 2021/9/14

N2 - Coupled numerical models, which simulate water and energy fluxes in the subsurface-land-surface-atmosphere system in a physically consistent way, are a prerequisite for the analysis and a better understanding of heat and matter exchange fluxes at compartmental boundaries and interdependencies of states across these boundaries. Complete state evolutions generated by such models may be regarded as a proxy of the real world, provided they are run at sufficiently high resolution and incorporate the most important processes. Such a simulated reality can be used to test hypotheses on the functioning of the coupled terrestrial system. Coupled simulation systems, however, face severe problems caused by the vastly different scales of the processes acting in and between the compartments of the terrestrial system, which also hinders comprehensive tests of their realism. We used the Terrestrial Systems Modeling Platform (TerrSysMP), which couples the meteorological Consortium for Small-scale Modeling (COSMO) model, the land-surface Community Land Model (CLM), and the subsurface ParFlow model, to generate a simulated catchment for a regional terrestrial system mimicking the Neckar catchment in southwest Germany, the virtual Neckar catchment. Simulations for this catchment are made for the period 2007-2015 and at a spatial resolution of 400m for the land surface and subsurface and 1.1km for the atmosphere. Among a discussion of modeling challenges, the model performance is evaluated based on observations covering several variables of the water cycle. We find that the simulated catchment behaves in many aspects quite close to observations of the real Neckar catchment, e.g., concerning atmospheric boundary-layer height, precipitation, and runoff. But also discrepancies become apparent, both in the ability of the model to correctly simulate some processes which still need improvement, such as overland flow, and in the realism of some observation operators like the satellite-based soil moisture sensors. The whole raw dataset is available for interested users. The dataset described here is available via the CERA database (Schalge et al., 2020): 10.26050/WDCC/Neckar-VCS-v1.

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