Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models.
Jamal ZaherpourNick J. MountSimon N. GoslingRutger DankersStephanie EisnerDieter GertenXingcai LiuYoshimitsu MasakiHannes Müller SchmiedQiuhong TangYoshihide WadaPublished in: Environ. Model. Softw. (2019)
Keyphrases
- machine learning
- probabilistic model
- experimental data
- parameter estimation
- statistical model
- machine learning models
- computational model
- analytical model
- management system
- modeling framework
- computational models
- generic model
- learning models
- statistical methods
- statistical models
- mathematical model
- predictive model
- modeling method
- prior knowledge
- multiple models
- parametric models
- linear models
- model construction
- markov random field
- hierarchical model
- artificial neural networks
- domain models
- feature selection