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+49 711 685 69097
+4964681
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Pfaffenwaldring 61
70569 Stuttgart
Germany
Room: 0.906
Publications:
2021
- Schlabing, D. (2021). Generating weather for climate impact assessment on lakes [Promotionsschrift, Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart]. In Mitteilungsheft (Vol. 283). https://doi.org/10.18419/opus-12051
2020
- Gal, G., Yael, G., Noam, S., Moshe, E., & Schlabing, D. (2020). Ensemble Modeling of the Impact of Climate Warming and Increased Frequency of Extreme Climatic Events on the Thermal Characteristics of a Sub-Tropical Lake. Water, 12(7), 1982. https://doi.org/10.3390/w12071982
2018
- Schäfer Rodrigues Silva, A., Noack, M., Schlabing, D., & Wieprecht, S. (2018). A data-driven fuzzy approach to simulate the critical shear stress of mixed cohesive/non-cohesive sediments. Journal of Soils and Sediments, 18(10), 3070–3081.
2017
- Schäfer Rodrigues Silva, A., Noack, M., Schlabing, D., & Wieprecht, S. (2017). A data-driven fuzzy approach to simulate the critical shear stress of cohesive sediments. River Sedimentation - Proceedings of the 13th International Symposium on River Sedimentation, ISRS 2016, 387–393.
- Schäfer Rodrigues, A., Noack, M., Schlabing, D., & Wieprecht, S. (2017). A data-driven fuzzy approach to simulate the critical shear stress of mixed cohesive/non-cohesive sediments. Journal of Soils & Sediments.
2016
- Seidel, J., Ketzler, G., Bechtel, B., Thies, B., Philipp, A., Böhner, J., Egli, S., Eisele, M., Herma, F., Langkamp, T., Petersen, E., Sachsen, T., Schlabing, D., & Schneider, C. (2016). Mobile measurement techniques for local and micro-scale studies in urban and topo-climatology. Die Erde, 147,No.1.
2014
- Schlabing, D., Frassl, M. A., Eder, M., Rinke, K., & Bárdossy, A. (2014). Use of a weather generator for simulating climate change effects on ecosystems: A case study on Lake Constance. Environmental Modelling & Software, 61.
2007
- Aghakouchak, A., Nasrollahi, N., Schlabing, D., Tuhtan, J., & Kavianpour, M. R. (2007, June). Air-Water Flow Analysis Using Numerical, Experimental and Simulated Annealing Methods. 32. IAHR Congress.