Articles | Volume 13, issue 3
https://doi.org/10.5194/hess-13-395-2009
© Author(s) 2009. 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-13-395-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
18 Mar 2009
Mapping model behaviour using Self-Organizing Maps
M. Herbst
Department of Physical Geography, University of Trier, Germany
H. V. Gupta
Department of Hydrology & Water Resources, University of Arizona, Tucson, USA
M. C. Casper
Department of Physical Geography, University of Trier, Germany
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Cited
26 citations as recorded by crossref.
- A self-organizing map-based approach for groundwater model parameter identification L. Zhao et al. https://doi.org/10.1007/s00477-025-02967-5
- Identifiability analysis: towards constrained equifinality and reduced uncertainty in a conceptual model E. Muñoz et al. https://doi.org/10.1080/02626667.2014.892205
- Diagnostic evaluation of conceptual rainfall–runoff models using temporal clustering N. de Vos et al. https://doi.org/10.1002/hyp.7698
- How do hydrologic modeling decisions affect the portrayal of climate change impacts? P. Mendoza et al. https://doi.org/10.1002/hyp.10684
- Combining a rainfall–runoff model and a regionalization approach for flood and water resource assessment in the western Po Valley, Italy A. Cislaghi et al. https://doi.org/10.1080/02626667.2019.1690656
- Simultaneous calibration of surface flow and baseflow simulations: a revisit of the SWAT model calibration framework X. Zhang et al. https://doi.org/10.1002/hyp.8058
- Identifying model consistency through stepwise calibration to capture streamflow variability D. Kundu et al. https://doi.org/10.1016/j.envsoft.2016.06.013
- Conceptual evaluation of continental land-surface model behaviour L. Peeters et al. https://doi.org/10.1016/j.envsoft.2013.01.007
- Interpreting Self-Organizing Map errors in the classification of ocean patterns F. Matić et al. https://doi.org/10.1016/j.cageo.2018.06.006
- Analysis of projected hydrological behavior of catchments based on signature indices M. Casper et al. https://doi.org/10.5194/hess-16-409-2012
- On the calibration of hydrological models in ungauged basins: A framework for integrating hard and soft hydrological information H. Winsemius et al. https://doi.org/10.1029/2009WR007706
- Effects of different regional climate model resolution and forcing scales on projected hydrologic changes P. Mendoza et al. https://doi.org/10.1016/j.jhydrol.2016.08.010
- Evaluation of nine large‐scale hydrological models with respect to the seasonal runoff climatology in Europe L. Gudmundsson et al. https://doi.org/10.1029/2011WR010911
- Combining a geoelectrical survey with integrated groundwater quality data to map the spatial distribution and temporal variations of a leachate plume in a closed landfill (Southern Ontario, Canada) V. Costanzo-Alvarez et al. https://doi.org/10.1007/s12665-022-10622-3
- How to improve the representation of hydrological processes in SWAT for a lowland catchment – temporal analysis of parameter sensitivity and model performance B. Guse et al. https://doi.org/10.1002/hyp.9777
- A hybrid model of self organizing maps and least square support vector machine for river flow forecasting S. Ismail et al. https://doi.org/10.5194/hess-16-4417-2012
- Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling H. Gupta et al. https://doi.org/10.1016/j.jhydrol.2009.08.003
- Catchment classification by runoff behaviour with self-organizing maps (SOM) R. Ley et al. https://doi.org/10.5194/hess-15-2947-2011
- Characterization of soil moisture response patterns and hillslope hydrological processes through a self-organizing map E. Lee & S. Kim https://doi.org/10.5194/hess-25-5733-2021
- Enhanced SWAT calibration through intelligent range-based parameter optimization L. Zhao et al. https://doi.org/10.1016/j.jenvman.2024.121933
- Visualization Framework for High-Dimensional Spatio-Temporal Hydrological Gridded Datasets using Machine-Learning Techniques A. Mazher https://doi.org/10.3390/w12020590
- Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives M. Shafii & B. Tolson https://doi.org/10.1002/2014WR016520
- On the use of spatial regularization strategies to improve calibration of distributed watershed models P. Pokhrel & H. Gupta https://doi.org/10.1029/2009WR008066
- Use of an entropy‐based metric in multiobjective calibration to improve model performance I. Pechlivanidis et al. https://doi.org/10.1002/2013WR014537
- Evaluation of Climate Driven Simulations of Po River Flow from 1971 to 2000 Through Flow-Duration Curve Indices: Preliminary Results R. Vezzoli et al. https://doi.org/10.2139/ssrn.2491404
- Process verification of a hydrological model using a temporal parameter sensitivity analysis M. Pfannerstill et al. https://doi.org/10.5194/hess-19-4365-2015
26 citations as recorded by crossref.
- A self-organizing map-based approach for groundwater model parameter identification L. Zhao et al. https://doi.org/10.1007/s00477-025-02967-5
- Identifiability analysis: towards constrained equifinality and reduced uncertainty in a conceptual model E. Muñoz et al. https://doi.org/10.1080/02626667.2014.892205
- Diagnostic evaluation of conceptual rainfall–runoff models using temporal clustering N. de Vos et al. https://doi.org/10.1002/hyp.7698
- How do hydrologic modeling decisions affect the portrayal of climate change impacts? P. Mendoza et al. https://doi.org/10.1002/hyp.10684
- Combining a rainfall–runoff model and a regionalization approach for flood and water resource assessment in the western Po Valley, Italy A. Cislaghi et al. https://doi.org/10.1080/02626667.2019.1690656
- Simultaneous calibration of surface flow and baseflow simulations: a revisit of the SWAT model calibration framework X. Zhang et al. https://doi.org/10.1002/hyp.8058
- Identifying model consistency through stepwise calibration to capture streamflow variability D. Kundu et al. https://doi.org/10.1016/j.envsoft.2016.06.013
- Conceptual evaluation of continental land-surface model behaviour L. Peeters et al. https://doi.org/10.1016/j.envsoft.2013.01.007
- Interpreting Self-Organizing Map errors in the classification of ocean patterns F. Matić et al. https://doi.org/10.1016/j.cageo.2018.06.006
- Analysis of projected hydrological behavior of catchments based on signature indices M. Casper et al. https://doi.org/10.5194/hess-16-409-2012
- On the calibration of hydrological models in ungauged basins: A framework for integrating hard and soft hydrological information H. Winsemius et al. https://doi.org/10.1029/2009WR007706
- Effects of different regional climate model resolution and forcing scales on projected hydrologic changes P. Mendoza et al. https://doi.org/10.1016/j.jhydrol.2016.08.010
- Evaluation of nine large‐scale hydrological models with respect to the seasonal runoff climatology in Europe L. Gudmundsson et al. https://doi.org/10.1029/2011WR010911
- Combining a geoelectrical survey with integrated groundwater quality data to map the spatial distribution and temporal variations of a leachate plume in a closed landfill (Southern Ontario, Canada) V. Costanzo-Alvarez et al. https://doi.org/10.1007/s12665-022-10622-3
- How to improve the representation of hydrological processes in SWAT for a lowland catchment – temporal analysis of parameter sensitivity and model performance B. Guse et al. https://doi.org/10.1002/hyp.9777
- A hybrid model of self organizing maps and least square support vector machine for river flow forecasting S. Ismail et al. https://doi.org/10.5194/hess-16-4417-2012
- Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling H. Gupta et al. https://doi.org/10.1016/j.jhydrol.2009.08.003
- Catchment classification by runoff behaviour with self-organizing maps (SOM) R. Ley et al. https://doi.org/10.5194/hess-15-2947-2011
- Characterization of soil moisture response patterns and hillslope hydrological processes through a self-organizing map E. Lee & S. Kim https://doi.org/10.5194/hess-25-5733-2021
- Enhanced SWAT calibration through intelligent range-based parameter optimization L. Zhao et al. https://doi.org/10.1016/j.jenvman.2024.121933
- Visualization Framework for High-Dimensional Spatio-Temporal Hydrological Gridded Datasets using Machine-Learning Techniques A. Mazher https://doi.org/10.3390/w12020590
- Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives M. Shafii & B. Tolson https://doi.org/10.1002/2014WR016520
- On the use of spatial regularization strategies to improve calibration of distributed watershed models P. Pokhrel & H. Gupta https://doi.org/10.1029/2009WR008066
- Use of an entropy‐based metric in multiobjective calibration to improve model performance I. Pechlivanidis et al. https://doi.org/10.1002/2013WR014537
- Evaluation of Climate Driven Simulations of Po River Flow from 1971 to 2000 Through Flow-Duration Curve Indices: Preliminary Results R. Vezzoli et al. https://doi.org/10.2139/ssrn.2491404
- Process verification of a hydrological model using a temporal parameter sensitivity analysis M. Pfannerstill et al. https://doi.org/10.5194/hess-19-4365-2015
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