Articles | Volume 12, issue 2
https://doi.org/10.5194/hess-12-657-2008
© Author(s) 2008. 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-12-657-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
09 Apr 2008
Towards model evaluation and identification using Self-Organizing Maps
M. Herbst
Department of Physical Geography, University of Trier, Germany
M. C. Casper
Department of Physical Geography, University of Trier, Germany
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Cited
23 citations as recorded by crossref.
- 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
- Establishing uncertainty ranges of hydrologic indices across climate and physiographic regions of the Congo River Basin P. Kabuya et al. https://doi.org/10.1016/j.ejrh.2020.100710
- A one-step similarity approach for the regionalization of hydrological model parameters based on Self-Organizing Maps M. Wallner et al. https://doi.org/10.1016/j.jhydrol.2013.04.022
- Hydrological model performance and parameter estimation in the wavelet-domain B. Schaefli & E. Zehe https://doi.org/10.5194/hess-13-1921-2009
- Integrating machine learning ensembles and flood classification for enhanced flood forecasting with dynamic parameter weighting H. Oppel et al. https://doi.org/10.2166/hydro.2025.030
- 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
- Dynamic and Thermodynamic Factors Associated with Different Precipitation Regimes over South China during Pre-Monsoon Season W. Ma et al. https://doi.org/10.3390/atmos9060219
- Catchment classification by runoff behaviour with self-organizing maps (SOM) R. Ley et al. https://doi.org/10.5194/hess-15-2947-2011
- Conceptual evaluation of continental land-surface model behaviour L. Peeters et al. https://doi.org/10.1016/j.envsoft.2013.01.007
- Regionalization of Flow-Duration Curves through Catchment Classification with Streamflow Signatures and Physiographic–Climate Indices L. Boscarello et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001307
- Inferring model structural deficits by analyzing temporal dynamics of model performance and parameter sensitivity D. Reusser & E. Zehe https://doi.org/10.1029/2010WR009946
- Exploring soil databases: a self‐organizing map approach D. Rivera et al. https://doi.org/10.1111/sum.12169
- Non-stationary hydrological model parameters: a framework based on SOM-B M. Wallner & U. Haberlandt https://doi.org/10.1002/hyp.10430
- Identification of robust catchment classification methods for Sahelian watersheds P. Darbandsari et al. https://doi.org/10.1016/j.ejrh.2024.102067
- Forecasting monthly precipitation in Central Chile: a self-organizing map approach using filtered sea surface temperature D. Rivera et al. https://doi.org/10.1007/s00704-011-0453-5
- Smart low flow signature metrics for an improved overall performance evaluation of hydrological models M. Pfannerstill et al. https://doi.org/10.1016/j.jhydrol.2013.12.044
- Review of Time-of-Concentration Equations and a New Proposal in Italy G. Ravazzani et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001818
- Validation of an ANN Flow Prediction Model Using a Multistation Cluster Analysis M. Demirel et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000426
- Analysing the temporal dynamics of model performance for hydrological models D. Reusser et al. https://doi.org/10.5194/hess-13-999-2009
- Mapping model behaviour using Self-Organizing Maps M. Herbst et al. https://doi.org/10.5194/hess-13-395-2009
- Determining the initial spatial extent of an environmental impact assessment with a probabilistic screening methodology L. Peeters et al. https://doi.org/10.1016/j.envsoft.2018.08.020
- Connecting Large‐Scale Meteorological Patterns to Extratropical Cyclones in CMIP6 Climate Models Using Self‐Organizing Maps M. Gore et al. https://doi.org/10.1029/2022EF003211
- Catchment classification based on characterisation of streamflow and precipitation time series E. Toth https://doi.org/10.5194/hess-17-1149-2013
23 citations as recorded by crossref.
- 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
- Establishing uncertainty ranges of hydrologic indices across climate and physiographic regions of the Congo River Basin P. Kabuya et al. https://doi.org/10.1016/j.ejrh.2020.100710
- A one-step similarity approach for the regionalization of hydrological model parameters based on Self-Organizing Maps M. Wallner et al. https://doi.org/10.1016/j.jhydrol.2013.04.022
- Hydrological model performance and parameter estimation in the wavelet-domain B. Schaefli & E. Zehe https://doi.org/10.5194/hess-13-1921-2009
- Integrating machine learning ensembles and flood classification for enhanced flood forecasting with dynamic parameter weighting H. Oppel et al. https://doi.org/10.2166/hydro.2025.030
- 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
- Dynamic and Thermodynamic Factors Associated with Different Precipitation Regimes over South China during Pre-Monsoon Season W. Ma et al. https://doi.org/10.3390/atmos9060219
- Catchment classification by runoff behaviour with self-organizing maps (SOM) R. Ley et al. https://doi.org/10.5194/hess-15-2947-2011
- Conceptual evaluation of continental land-surface model behaviour L. Peeters et al. https://doi.org/10.1016/j.envsoft.2013.01.007
- Regionalization of Flow-Duration Curves through Catchment Classification with Streamflow Signatures and Physiographic–Climate Indices L. Boscarello et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001307
- Inferring model structural deficits by analyzing temporal dynamics of model performance and parameter sensitivity D. Reusser & E. Zehe https://doi.org/10.1029/2010WR009946
- Exploring soil databases: a self‐organizing map approach D. Rivera et al. https://doi.org/10.1111/sum.12169
- Non-stationary hydrological model parameters: a framework based on SOM-B M. Wallner & U. Haberlandt https://doi.org/10.1002/hyp.10430
- Identification of robust catchment classification methods for Sahelian watersheds P. Darbandsari et al. https://doi.org/10.1016/j.ejrh.2024.102067
- Forecasting monthly precipitation in Central Chile: a self-organizing map approach using filtered sea surface temperature D. Rivera et al. https://doi.org/10.1007/s00704-011-0453-5
- Smart low flow signature metrics for an improved overall performance evaluation of hydrological models M. Pfannerstill et al. https://doi.org/10.1016/j.jhydrol.2013.12.044
- Review of Time-of-Concentration Equations and a New Proposal in Italy G. Ravazzani et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001818
- Validation of an ANN Flow Prediction Model Using a Multistation Cluster Analysis M. Demirel et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000426
- Analysing the temporal dynamics of model performance for hydrological models D. Reusser et al. https://doi.org/10.5194/hess-13-999-2009
- Mapping model behaviour using Self-Organizing Maps M. Herbst et al. https://doi.org/10.5194/hess-13-395-2009
- Determining the initial spatial extent of an environmental impact assessment with a probabilistic screening methodology L. Peeters et al. https://doi.org/10.1016/j.envsoft.2018.08.020
- Connecting Large‐Scale Meteorological Patterns to Extratropical Cyclones in CMIP6 Climate Models Using Self‐Organizing Maps M. Gore et al. https://doi.org/10.1029/2022EF003211
- Catchment classification based on characterisation of streamflow and precipitation time series E. Toth https://doi.org/10.5194/hess-17-1149-2013
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