Lec: Local SA
6 important questions on Lec: Local SA
What are input sources of variation?
Initial conditions
BCs
Forcing (P, temp, etc)
What are outputs as mentioned in teh definition of SA?
- Single value
- Time series
- Field
- Performance metric
- Statistical summary
Local partial derivative sensitivity (LSA) is based on partial derivatives. True or false
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How is local sensitivity determined?
- Local slope
- Locally linearalize our model
- Multiply with stdev of parameter
- Determine variance
What is the implication of assuming local linearity in your model?
How does LSA work for models with >1 parameters?
- Look at p1 and its local slope around best guess value * st dev in this parameter
- Get expression for var in M given this parameter
- Put p1 back to its base value
- Look at p2: again look at local slope * st dev in p2, get expression for var in M
- Add var caused by p1 and var caused by p2, then calculate total var of model and determine which var can be assigned to which parameter
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