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Publications

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Matta, E.; Ma, Y; Meißner, D.; Richter, J.; Schellenberg, H.; Hinkelmann, R. (2018). Neural Networks approaches to optimize water level predictions for inland navigation. EUROCONTROL TIM/ART Workshop on Machine Learning


Hinkelmannr.R., Nasermoadeli,M.H., Liong,S.Y., Savic,D., Froele,P. & Daemrich,K.F. (2012). Understanding Changing Climate and Environment and Finding Solutions..



Özgen, I., Liang, D., Om, J. & Hinkelmann, R. (2016). Shallow water model with anisotropic porosity: A case study of dam-break flow in an idealized city. 12th International Conference on Hydroinformatics



Marx, Christian and Tetzlaff, Dörthe and Hinkelmann, Reinhard and Soulsby, Chris (2020). High spatial and temporal resolution of stable water isotopes to investigate flow paths and water ages in the urban Panke catchment in the north of Berlin. First International Conference on Urban Water Interfaces (UWI). [Technische Universität Berlin, Urban Water Interfaces];, 20.

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Tügel, F., Özgen, I., Hadidi, A., Tröger, U. & Hinkelmann, R. (2018). Modelling of flash floods in wadi systems using a robust shallow water model – case study El Gouna, Egypt. Advances in Hydroinformatics. Springer, Singapore, 579-593.



Notay,K.V., Stadler,L., Simons,F., Molkenthin,F. & Hinkelmann,R. (2012). Model Coupling in Hydroinformatics Systems through the Use of Autonomous Tensor Objects.


Hou,J., Simons,F. & Hinkelmann,R. (2012). A new TVD method for advection simulation on 2D unstructured grids.



Lange,C., Om,Y., Jakobs,F., Peters,C., Tammo,T., Sievers,J., MaßMann,S., Hinkelmann,R., Sieker,H., Sellerhoff,F. & Lippert,C. (2012). Hyd3Flow- Coupling of Hydrological, Hydronumerical and Hydroinformatics Modeling Systems for Improved Flood Forecasting..


Özgen, I., Zhao, J., Liang, D. & Hinkelmann, R. (2016). Comparison of an isotropic porosity model with an anisotropic porosity model. Nordic Water Network Conference 2016


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