Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6962822 | Environmental Modelling & Software | 2015 | 16 Pages |
Abstract
Sensitivity analysis is an important step in understanding how uncertainty is propagated through complex computer models. Unfortunately, the most reliable sensitivity analysis techniques take a significant amount of time to execute due to the large number of computer model evaluations required. Emulators can be used to speed up the process by replacing the computer model with a statistical model that mimics the computer model and is computationally efficient. In this manuscript we propose two emulator-based sensitivity index estimators that require minimal set-up and are computationally inexpensive to compute. We demonstrate their accuracy with computer models that have known sensitivity index values and illustrate their application in practice with the agriculture systems simulator APSIM.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Bryan Stanfill, Henrike Mielenz, David Clifford, Peter Thorburn,