Articles | Volume 20, issue 4
https://doi.org/10.5194/hess-20-1433-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-20-1433-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Opinion article
| 
15 Apr 2016
Opinion article |
| 15 Apr 2016
HESS Opinions: Advocating process modeling and de-emphasizing parameter estimation
Abdolreza Bahremand
CORRESPONDING AUTHOR
Watershed Management Department, Gorgan University of Agricultural Sciences
and Natural Resources, Gorgan, Iran
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- Using satellite-based evapotranspiration estimates to improve the structure of a simple conceptual rainfall–runoff model T. Roy et al. 10.5194/hess-21-879-2017
- Finding behavioral parameterization for a 1-D water balance model by multi-criteria evaluation M. Casper et al. 10.2478/johh-2019-0005
- Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. 10.1029/2020WR027948
- Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al. 10.1002/hyp.11232
- A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data Y. Tian et al. 10.3390/rs11212580
- HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
- Parameter allocation approach for runoff simulation in an arid catchment using the KINEROS2 hydrological model D. Ghonchepour et al. 10.1111/nrm.12364
- Assessing the hydrological effects of land-use changes on a catchment using the Markov chain and WetSpa models A. Kavian et al. 10.1080/02626667.2020.1797046
- Landslide susceptibility assessment using three bivariate models considering the new topo-hydrological factor: HAND A. Kornejady et al. 10.1080/10106049.2017.1334832
- Innovating on Hydrological Modelling Calibration Towards a Realistic Simulation of Climate Change Impacts on Water Resources E. Molina-Navarro et al. 10.1007/s41748-024-00462-5
- How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
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- The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview C. Marsh et al. 10.5194/gmd-13-225-2020
- Uncertainty of drought information in a data-scarce tropical river basin F. Wambura 10.1016/j.ejrh.2020.100760
- Connecting Hydrometeorological Processes to Low‐Probability Floods in the Mountainous Colorado Front Range G. Yu et al. 10.1029/2021WR029768
- Simplified spatially distributed, coupled soil moisture–groundwater model, evaluated for Flanders (Belgium) S. Moustakas & P. Willems 10.1016/j.ejrh.2024.102006
- Mapping dominant runoff processes: an evaluation of different approaches using similarity measures and synthetic runoff simulations M. Antonetti et al. 10.5194/hess-20-2929-2016
- Improving Snowmelt Runoff Model (SRM) Performance Incorporating Remotely Sensed Data M. Naghdi et al. 10.1007/s12524-024-01921-2
- Assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the Tikur-Wuha watershed, rift valley lakes basin, Ethiopia T. Beyene et al. 10.1016/j.heliyon.2024.e24311
- Hydrovars: an R tool to collect hydrological variables A. Sánchez-Gómez et al. 10.2166/hydro.2024.293
- Beyond model metrics: The perils of calibrating hydrologic models J. Acero Triana et al. 10.1016/j.jhydrol.2019.124032
- An overview of current applications, challenges, and future trends in distributed process-based models in hydrology S. Fatichi et al. 10.1016/j.jhydrol.2016.03.026
26 citations as recorded by crossref.
- A methodological framework for the hydrological model selection process in water resource management projects D. Ghonchepour et al. 10.1111/nrm.12326
- Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model M. Demirel et al. 10.3390/w10091188
- A parameter allocation approach for flow simulation using the WetSpa‐Python model A. Bahremand et al. 10.1002/hyp.13992
- Evaluation and interpretation of convolutional long short-term memory networks for regional hydrological modelling S. Anderson & V. Radić 10.5194/hess-26-795-2022
- Using satellite-based evapotranspiration estimates to improve the structure of a simple conceptual rainfall–runoff model T. Roy et al. 10.5194/hess-21-879-2017
- Finding behavioral parameterization for a 1-D water balance model by multi-criteria evaluation M. Casper et al. 10.2478/johh-2019-0005
- Understanding the Information Content in the Hierarchy of Model Development Decisions: Learning From Data S. Gharari et al. 10.1029/2020WR027948
- Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al. 10.1002/hyp.11232
- A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data Y. Tian et al. 10.3390/rs11212580
- HESS Opinions: The complementary merits of competing modelling philosophies in hydrology M. Hrachowitz & M. Clark 10.5194/hess-21-3953-2017
- Parameter allocation approach for runoff simulation in an arid catchment using the KINEROS2 hydrological model D. Ghonchepour et al. 10.1111/nrm.12364
- Assessing the hydrological effects of land-use changes on a catchment using the Markov chain and WetSpa models A. Kavian et al. 10.1080/02626667.2020.1797046
- Landslide susceptibility assessment using three bivariate models considering the new topo-hydrological factor: HAND A. Kornejady et al. 10.1080/10106049.2017.1334832
- Innovating on Hydrological Modelling Calibration Towards a Realistic Simulation of Climate Change Impacts on Water Resources E. Molina-Navarro et al. 10.1007/s41748-024-00462-5
- How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
- Applying the stocking index to the determination of the curve number parameter in the forest catchment area M. Wróbel et al. 10.1111/nrm.12241
- Reliability Assessment of Machine Learning Models in Hydrological Predictions Through Metamorphic Testing Y. Yang & T. Chui 10.1029/2020WR029471
- The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview C. Marsh et al. 10.5194/gmd-13-225-2020
- Uncertainty of drought information in a data-scarce tropical river basin F. Wambura 10.1016/j.ejrh.2020.100760
- Connecting Hydrometeorological Processes to Low‐Probability Floods in the Mountainous Colorado Front Range G. Yu et al. 10.1029/2021WR029768
- Simplified spatially distributed, coupled soil moisture–groundwater model, evaluated for Flanders (Belgium) S. Moustakas & P. Willems 10.1016/j.ejrh.2024.102006
- Mapping dominant runoff processes: an evaluation of different approaches using similarity measures and synthetic runoff simulations M. Antonetti et al. 10.5194/hess-20-2929-2016
- Improving Snowmelt Runoff Model (SRM) Performance Incorporating Remotely Sensed Data M. Naghdi et al. 10.1007/s12524-024-01921-2
- Assessment of the impact of rainfall uncertainties on the groundwater recharge estimations of the Tikur-Wuha watershed, rift valley lakes basin, Ethiopia T. Beyene et al. 10.1016/j.heliyon.2024.e24311
- Hydrovars: an R tool to collect hydrological variables A. Sánchez-Gómez et al. 10.2166/hydro.2024.293
- Beyond model metrics: The perils of calibrating hydrologic models J. Acero Triana et al. 10.1016/j.jhydrol.2019.124032
Saved (preprint)
Latest update: 17 Nov 2024
Short summary
There has been much recent debate regarding the future of the hydrological sciences, and several publications have voiced opinions on this subject. This opinion paper seeks to comment and expand on some recent publications that have advocated an increased focus on process modeling while de-emphasizing the focus on detailed attention to parameter estimation. In particular, it offers a perspective that emphasizes a more hydraulic approach to development and implementation of hydrological models.
There has been much recent debate regarding the future of the hydrological sciences, and several...
Special issue