Model sensitivity analysis using SALib
|Resource type:||Composite Resource|
|Storage:||The size of this resource is 32.4 MB|
|Created:||May 13, 2019 at 3:43 p.m.|
|Last updated:||May 23, 2019 at 6:18 p.m. by Nathan Lyons|
|Citation:||See how to cite this resource|
Interested in which variables influence your model outcome? SALib (Sensitivity Analysis Library) provides commonly used sensitivity analysis methods implemented in a Python programming language package. In this clinic we will use these methods with example models to apportion uncertainty in model output to model variables. We will use models built with the Landlab Earth-surface dynamics framework, but the analyses can be easily adapted for other model software. No prior experience with Landlab or Python is necessary.
|Derived From:||Herman, J. and Usher, W. (2017) SALib: An open-source Python library for sensitivity analysis. Journal of Open Source Software, 2(9).|
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