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Age and origin of leaf wax <em>n</em>-alkanes in fluvial sediment-paleosol sequences and implications for paleoenvironmental reconstructions
Bliedtner, M., von Suchodoletz, H., Schäfer, I., Welte, C., Salazar, G., Szidat, S., … Zech, R. (2020). Age and origin of leaf wax n-alkanes in fluvial sediment-paleosol sequences and implications for paleoenvironmental reconstructions. Hydrology and Earth System Sciences, 24(4), 2105-2120. https://doi.org/10.5194/hess-24-2105-2020
Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment
Dal Molin, M., Schirmer, M., Zappa, M., & Fenicia, F. (2020). Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment. Hydrology and Earth System Sciences, 24(3), 1319-1345. https://doi.org/10.5194/hess-24-1319-2020
A likelihood framework for deterministic hydrological models and the importance of non-stationary autocorrelation
Ammann, L., Fenicia, F., & Reichert, P. (2019). A likelihood framework for deterministic hydrological models and the importance of non-stationary autocorrelation. Hydrology and Earth System Sciences, 23(4), 2147-2172. https://doi.org/10.5194/hess-23-2147-2019
Multimodel assessments of human and climate impacts on mean annual streamflow in China
Liu, X., Liu, W., Yang, H., Tang, Q., Flörke, M., Masaki, Y., … Wada, Y. (2019). Multimodel assessments of human and climate impacts on mean annual streamflow in China. Hydrology and Earth System Sciences, 23(3), 1245-1261. https://doi.org/10.5194/hess-23-1245-2019
Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network
Moy de Vitry, M., Kramer, S., Wegner, J. D., & Leitão, J. P. (2019). Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network. Hydrology and Earth System Sciences, 23(11), 4621-4634. https://doi.org/10.5194/hess-23-4621-2019
HESS opinions: science in today’s media landscape – challenges and lessons from hydrologists and journalists
Lutz, S. R., Popp, A., van Emmerik, T., Gleeson, T., Kalaugher, L., Möbius, K., … Zink, M. (2018). HESS opinions: science in today’s media landscape – challenges and lessons from hydrologists and journalists. Hydrology and Earth System Sciences, 22(7), 3589-3599. https://doi.org/10.5194/hess-2018-13
Modelling biocide and herbicide concentrations in catchments of the Rhine basin
Moser, A., Wemyss, D., Scheidegger, R., Fenicia, F., Honti, M., & Stamm, C. (2018). Modelling biocide and herbicide concentrations in catchments of the Rhine basin. Hydrology and Earth System Sciences, 22(8), 4229-4249. https://doi.org/10.5194/hess-22-4229-2018
Tributaries affect the thermal response of lakes to climate change
Råman Vinnå, L., Wüest, A., Zappa, M., Fink, G., & Bouffard, D. (2018). Tributaries affect the thermal response of lakes to climate change. Hydrology and Earth System Sciences, 22(1), 31-51. https://doi.org/10.5194/hess-22-31-2018
Gauge-adjusted rainfall estimates from commercial microwave links
Fencl, M., Dohnal, M., Rieckermann, J., & Bareš, V. (2017). Gauge-adjusted rainfall estimates from commercial microwave links. Hydrology and Earth System Sciences, 21(1), 617-634. https://doi.org/10.5194/hess-21-617-2017
Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development?
Honti, M., Schuwirth, N., Rieckermann, J., & Stamm, C. (2017). Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development? Hydrology and Earth System Sciences, 21(3), 1593-1609. https://doi.org/10.5194/hess-21-1593-2017
Partitioning the impacts of spatial and climatological rainfall variability in urban drainage modeling
Peleg, N., Blumensaat, F., Molnar, P., Fatichi, S., & Burlando, P. (2017). Partitioning the impacts of spatial and climatological rainfall variability in urban drainage modeling. Hydrology and Earth System Sciences, 21(3), 1559-1572. https://doi.org/10.5194/hess-21-1559-2017
Residual uncertainty estimation using instance-based learning with applications to hydrologic forecasting
Wani, O., Beckers, J. V. L., Weerts, A. H., & Solomatine, D. P. (2017). Residual uncertainty estimation using instance-based learning with applications to hydrologic forecasting. Hydrology and Earth System Sciences, 21(8), 4021-4036. https://doi.org/10.5194/hess-21-4021-2017
Looking beyond general metrics for model comparison – lessons from an international model intercomparison study
de Boer-Euser, T., Bouaziz, L., De Niel, J., Brauer, C., Dewals, B., Drogue, G., … Willems, P. (2017). Looking beyond general metrics for model comparison – lessons from an international model intercomparison study. Hydrology and Earth System Sciences, 21(1), 423-440. https://doi.org/10.5194/hess-21-423-2017
Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas
Leitão, J. P., Moy de Vitry, M., Scheidegger, A., & Rieckermann, J. (2016). Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas. Hydrology and Earth System Sciences, 20(4), 1637-1653. https://doi.org/10.5194/hess-20-1637-2016
Technical note: fourier approach for estimating the thermal attributes of streams
Ryo, M., Leys, M., & Robinson, C. T. (2016). Technical note: fourier approach for estimating the thermal attributes of streams. Hydrology and Earth System Sciences, 20(8), 3411-3418. https://doi.org/10.5194/hess-20-3411-2016
How effective is river restoration in re-establishing groundwater-surface water interactions? – A case study
Kurth, A. M., Weber, C., & Schirmer, M. (2015). How effective is river restoration in re-establishing groundwater-surface water interactions? – A case study. Hydrology and Earth System Sciences, 19(6), 2663-2672. https://doi.org/10.5194/hess-19-2663-2015
High-quality observation of surface imperviousness for urban runoff modelling using UAV imagery
Tokarczyk, P., Leitao, J. P., Rieckermann, J., Schindler, K., & Blumensaat, F. (2015). High-quality observation of surface imperviousness for urban runoff modelling using UAV imagery. Hydrology and Earth System Sciences, 19(10), 4215-4228. https://doi.org/10.5194/hess-19-4215-2015
Validating a spatially distributed hydrological model with soil morphology data
Doppler, T., Honti, M., Zihlmann, U., Weisskopf, P., & Stamm, C. (2014). Validating a spatially distributed hydrological model with soil morphology data. Hydrology and Earth System Sciences, 18(9), 3481-3498. https://doi.org/10.5194/hess-18-3481-2014
Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China
Gao, H., Hrachowitz, M., Fenicia, F., Gharari, S., & Savenije, H. H. G. (2014). Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe, China. Hydrology and Earth System Sciences, 18(5), 1895-1915. https://doi.org/10.5194/hess-18-1895-2014
A constraint-based search algorithm for parameter identification of environmental models
Gharari, S., Shafie, M., Hrachowitz, M., Kumar, R., Fenicia, F., Gupta, H. V., & Savenije, H. H. G. (2014). A constraint-based search algorithm for parameter identification of environmental models. Hydrology and Earth System Sciences, 18(12), 4861-4870. https://doi.org/10.5194/hess-18-4861-2014