A review of surrogate models and their application to groundwater modeling
Australian National University · Australian Mathematical Sciences Institute · +2 more institutions
Abstract
Abstract The spatially and temporally variable parameters and inputs to complex groundwater models typically result in long runtimes which hinder comprehensive calibration, sensitivity, and uncertainty analysis. Surrogate modeling aims to provide a simpler, and hence faster, model which emulates the specified output of a more complex model in function of its inputs and parameters. In this review paper, we summarize surrogate modeling techniques in three categories: data‐driven, projection, and hierarchical‐based approaches. Data‐driven surrogates approximate a groundwater model through an empirical model that captures the input‐output mapping of the original model. Projection‐based models reduce the…
Citation impact
- FWCI
- 14.70
- Percentile
- 100%
- References
- 140
Authors
4- MJM. J. C. AsherCorresponding
Australian National University, Australian Mathematical Sciences Institute, National Centre for Groundwater Research and Training
- BCBarry Croke
Australian National University, Australian Mathematical Sciences Institute, National Centre for Groundwater Research and Training
- AJAnthony J. Jakeman
Australian National University, National Centre for Groundwater Research and Training
- LPLuk Peeters
CSIRO Land and Water
Topics & keywords
- Computer science
- Surrogate model
- Context (archaeology)
- Projection (relational algebra)
- Curse of dimensionality
- Sensitivity (control systems)
- Groundwater model
- Representation (politics)
- Clean water and sanitation