Articles | Volume 13, issue 9
Earth Syst. Sci. Data, 13, 4437–4464, 2021
https://doi.org/10.5194/essd-13-4437-2021
Earth Syst. Sci. Data, 13, 4437–4464, 2021
https://doi.org/10.5194/essd-13-4437-2021
Review article
14 Sep 2021
Review article | 14 Sep 2021

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

Bernd Schalge et al.

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Manuscript not accepted for further review
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Cited articles

Ajami, H. and Sharma, A,: Disaggregating Soil Moisture to Finer Spatial Resolutions: A Comparison of Alternatives, Water Resour. Res., 54, 9456–9483, https://doi.org/10.1029/2018WR022575, 2018. 
Alkama, R., Papa, F., Faroux, S., Douville, H., and Prigent, C.: Global off-line evaluation of the ISBA–TRIP flood model, Clim. Dynam., 38, 1389–1412, https://doi.org/10.1007/s00382-011-1054-9, 2012. 
Ashby, S. F. and Falgout, R. D.: A parallel multigrid preconditioned conjugate gradient algorithm for groundwater flow simulations, Nucl. Sci. Eng., 124, 145–159, 1996. 
Avissar, R. and Pielke, R. A.: A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology, Mon. Weather Rev., 117, 2113–2136, https://doi.org/10.1175/1520-0493(1989)117<2113:APOHLS>2.0.CO;2, 1989. 
Baldauf, M., Seifert, A., Foerstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational convective-scale numerical weather prediction with the COSMO model: description and sensitivities, Mon. Weather Rev., 139, 3887–3905, https://doi.org/10.1175/MWR-D-10-05013.1, 2011. 
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Short summary
In this study, a 9-year simulation of complete model output of a coupled atmosphere–land-surface–subsurface model on the catchment scale is discussed. We used the Neckar catchment in SW Germany as the basis of this simulation. Since the dataset includes the full model output, it is not only possible to investigate model behavior and interactions between the component models but also use it as a virtual truth for comparison of, for example, data assimilation experiments.