Articles | Volume 18, issue 1
https://doi.org/10.5194/hess-18-353-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-353-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hydrological model calibration for derived flood frequency analysis using stochastic rainfall and probability distributions of peak flows
U. Haberlandt
Institute of Water Resources Management, Hydrology and Agricultural Hydraulic Engineering, Leibniz University of Hannover, Hannover, Germany
I. Radtke
Institute of Water Resources Management, Hydrology and Agricultural Hydraulic Engineering, Leibniz University of Hannover, Hannover, Germany
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- A probabilistic risk modelling chain for analysis of regional flood events J. Oliver et al. 10.1007/s00477-019-01681-3
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- Climate and hydrological variability: the catchment filtering role I. Andrés-Doménech et al. 10.5194/hess-19-379-2015
- Clustering model responses in the frequency space for improved simulation‐based flood risk studies: The role of a cluster number A. Sikorska‐Senoner 10.1111/jfr3.12772
- Application of HEC-HMS in a Cold Region Watershed and Use of RADARSAT-2 Soil Moisture in Initializing the Model H. Bhuiyan et al. 10.3390/hydrology4010009
- The Impact of Rainfall Space‐Time Structure in Flood Frequency Analysis Z. Zhu et al. 10.1029/2018WR023550
- On the role of floodplain storage and hydrodynamic interactions in flood risk estimation M. Farrag et al. 10.1080/02626667.2022.2030058
- Flood frequency analysis using method of moments and L-moments of probability distributions N. Vivekanandan & S. Shukla 10.1080/23311916.2015.1018704
- Defining the hundred year flood: A Bayesian approach for using historic data to reduce uncertainty in flood frequency estimates B. Parkes & D. Demeritt 10.1016/j.jhydrol.2016.07.025
- Spatial and Temporal Patterns in Nonstationary Flood Frequency across a Forest Watershed: Linkage with Rainfall and Land Use Types X. Huang et al. 10.3390/f9060339
- Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence? H. Müller-Thomy et al. 10.5194/hess-22-5259-2018
- Dynamic Continuous Flows on Networks J. Zou et al. 10.51387/22-NEJSDS3
- Continuous hydrologic modelling for small and ungauged basins: A comparison of eight rainfall models for sub-daily runoff simulations S. Grimaldi et al. 10.1016/j.jhydrol.2022.127866
- Hydrological modelling using ensemble satellite rainfall estimates in a sparsely gauged river basin: The need for whole-ensemble calibration C. Skinner et al. 10.1016/j.jhydrol.2014.12.052
- A dynamic river network method for the prediction of floods using a parsimonious rainfall-runoff model A. Tsegaw et al. 10.2166/nh.2019.003
- A COMPARATIVE STUDY ON PEAK FLOOD DISCHARGE ESTIMATES BY EXTREME VALUE FAMILY OF PROBABILITY DISTRIBUTIONS N. VIVEKANANDAN 10.26634/jfet.16.1.17521
- Implementing generative adversarial network (GAN) as a data-driven multi-site stochastic weather generator for flood frequency estimation H. Ji et al. 10.1016/j.envsoft.2023.105896
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- Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm S. Ashrafi & M. Mahmoudi 10.2166/hydro.2021.043
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- Continuous hydrologic modelling for design simulation in small and ungauged basins: A step forward and some tests for its practical use S. Grimaldi et al. 10.1016/j.jhydrol.2020.125664
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- Decreasing uncertainty in flood frequency analyses by including historic flood events in an efficient bootstrap approach A. Bomers et al. 10.5194/nhess-19-1895-2019
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