Parallel Inverse Modeling and Uncertainty Quantification for Computationally Demanding Groundwater-Flow Models Using Covariance Matrix Adaptation
Ahmed S. Elshall(Florida State University), Ming Ye(Florida State University), Hai V. Pham(Louisiana State University), Frank T.‐C. Tsai(Louisiana State University), Le Yan(Louisiana State University)
Cited by 35
Related Papers
Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas
|Journal of Hydrology|2018|824
Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications
|Journal of Hydrology|2015|665
Towards a comprehensive assessment of model structural adequacy
|Water Resources Research|2012|493
Spatiotemporal variations of hydrogeochemistry and its controlling factors in the Gandaki River Basin, Central Himalaya Nepal
|The Science of The Total Environment|2017|283
On model selection criteria in multimodel analysis
|Water Resources Research|2008|264