Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-731-2021
https://doi.org/10.5194/essd-13-731-2021
Data description paper
 | 
02 Mar 2021
Data description paper |  | 02 Mar 2021

Inventory of dams in Germany

Gustavo Andrei Speckhann, Heidi Kreibich, and Bruno Merz

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Cited articles

Bakken, T. H., Killingtveit, Å., Engeland, K., Alfredsen, K., and Harby, A.: Water consumption from hydropower plants – review of published estimates and an assessment of the concept, Hydrol. Earth Syst. Sci., 17, 3983–4000, https://doi.org/10.5194/hess-17-3983-2013, 2013. 
Bakken, T. H., Aase, A. G., Hagen, D., Sundt, H., Barton, D. N., and Lujala, P.: Demonstrating a new framework for the comparison of environmental impacts from small- and large-scale hydropower and wind power projects, J. Environ. Manage., 140, 93–101, https://doi.org/10.1016/j.jenvman.2014.01.050, 2014. 
Di Baldassarre, G., Martinez, F., Kalantari, Z., and Viglione, A.: Drought and flood in the Anthropocene: feedback mechanisms in reservoir operation, Earth Syst. Dynam., 8, 225–233, https://doi.org/10.5194/esd-8-225-2017, 2017. 
Bertoni, F., Castelletti, A., Giuliani, M., and Reed, P. M.: Discovering Dependencies, Trade-Offs, and Robustness in Joint Dam Design and Operation: An Ex-Post Assessment of the Kariba Dam, Earths Future, 7, 1367–1390, https://doi.org/10.1029/2019EF001235, 2019. 
Best, J.: Anthropogenic stresses on the world's big rivers, Nat. Geosci., 12, 7–21, https://doi.org/10.1038/s41561-018-0262-x, 2019. 
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Short summary
Dams are an important element of water resources management. Data about dams are crucial for practitioners, scientists, and policymakers. We present the most comprehensive open-access dam inventory for Germany to date. The inventory combines multiple sources of information. It comprises 530 dams with information on name, location, river, start year of construction and operation, crest length, dam height, lake area, lake volume, purpose, dam structure, and building characteristics.
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