Model sensitivity analysis using SALib
| Authors: | |
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| Owners: | Nathan Lyons |
| Type: | 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 |
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| Views: | 2751 |
| Downloads: | 181 |
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Abstract
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.
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| The content of this resource is 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, http://www.hydroshare.org/resource/25e7d09f51b2424cb150d4d996fa4f8b
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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