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.
Citation: See how to cite this resource
Sharing Status: Public
Views: 1072
Downloads: 138
+1 Votes: Be the first one to 
Comments: No comments (yet)


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.

Subject Keywords

Deleting all keywords will set the resource sharing status to private.




Derived From: Herman, J. and Usher, W. (2017) SALib: An open-source Python library for sensitivity analysis. Journal of Open Source Software, 2(9).

How to Cite

Lyons, N. (2019). Model sensitivity analysis using SALib, HydroShare,

This resource is shared under the Creative Commons Attribution CC BY.


There are currently no comments

New Comment