Articles | Volume 17, issue 1
https://doi.org/10.5194/hess-17-149-2013
© Author(s) 2013. 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-17-149-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
An approach to identify time consistent model parameters: sub-period calibration
S. Gharari
Delft University of Technology, Faculty of Civil Engineering and Geosciences, Water Resources Section, Delft, The Netherlands
Public Research Center-Gabriel Lippmann, Belvaux, Luxembourg
M. Hrachowitz
Delft University of Technology, Faculty of Civil Engineering and Geosciences, Water Resources Section, Delft, The Netherlands
F. Fenicia
Delft University of Technology, Faculty of Civil Engineering and Geosciences, Water Resources Section, Delft, The Netherlands
Public Research Center-Gabriel Lippmann, Belvaux, Luxembourg
H. H. G. Savenije
Delft University of Technology, Faculty of Civil Engineering and Geosciences, Water Resources Section, Delft, The Netherlands
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- Choosing an arbitrary calibration period for hydrologic models: How much does it influence water balance simulations? D. Myers et al. 10.1002/hyp.14045
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- Improving a distributed hydrological model using evapotranspiration‐related boundary conditions as additional constraints in a data‐scarce river basin F. Wambura et al. 10.1002/hyp.11453
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- Impact of model structure on flow simulation and hydrological realism: from a lumped to a semi-distributed approach F. Garavaglia et al. 10.5194/hess-21-3937-2017
- Identifying time-varying hydrological model parameters to improve simulation efficiency by the ensemble Kalman filter: A joint assimilation of streamflow and actual evapotranspiration M. Xiong et al. 10.1016/j.jhydrol.2018.11.038
- A Framework for Dry Period Low Flow Forecasting in Mediterranean Streams K. Risva et al. 10.1007/s11269-018-2060-z
- A time-varying parameter estimation approach using split-sample calibration based on dynamic programming X. Zhang & P. Liu 10.5194/hess-25-711-2021
- A decade of Predictions in Ungauged Basins (PUB)—a review M. Hrachowitz et al. 10.1080/02626667.2013.803183
- The Quest for Hydrological Signatures: Effects of Data Transformation on Bayesian Inference of Watershed Models M. Sadegh et al. 10.1007/s11269-018-1908-6
- Quantification and allocation of uncertainties of climate change impacts on hydropower potential under 1.5 °C and 2.0 °C global warming levels in the headwaters of the Benue River Basin, Cameroon R. Nonki et al. 10.1016/j.renene.2023.118979
- WITHDRAWN: Intercomparison of joint bias correction methods for precipitation and flow from a hydrological perspective K. Kim et al. 10.1016/j.hydroa.2021.100109
- Calibrating Environment Canada's MESH Modelling System over the Great Lakes Basin A. Haghnegahdar et al. 10.1080/07055900.2014.939131
- Global Sensitivity Analysis of environmental models: Convergence and validation F. Sarrazin et al. 10.1016/j.envsoft.2016.02.005
- The role of conceptual hydrologic model calibration in climate change impact on water resources assessment A. Todorovic & J. Plavsic 10.2166/wcc.2015.086
- Comparison of Hydrological Platforms in Assessing Rainfall-Runoff Behavior in a Mediterranean Watershed of Northern Morocco M. Aqnouy et al. 10.3390/w15030447
- A Clustering Preprocessing Framework for the Subannual Calibration of a Hydrological Model Considering Climate‐Land Surface Variations T. Lan et al. 10.1029/2018WR023160
- Optimal Hydrological Model Calibration Strategy for Climate Change Impact Studies S. Bérubé et al. 10.1061/(ASCE)HE.1943-5584.0002148
- Improved Rainfall‐Runoff Calibration for Drying Climate: Choice of Objective Function K. Fowler et al. 10.1029/2017WR022466
- An efficient framework for hydrologic model calibration on long data periods S. Razavi & B. Tolson 10.1002/2012WR013442
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