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A "spaghetti" plot is where a single contour of a parameter is plotted for all ensemble members.
Task 4: Visualise ensemble members and difference
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It is another way of visualizing the differences between the ensemble members and focussing on features.
Use the ens_to_an_runs_spag.mv icon. Plot and animate the MSLP field using the default value for the contour level. This will indicate the low pressure centre. Note that not all members may reach the low pressure set by the contour.
Note that this macro may animate slowly because of the computations required.
Experiment with changing the contour value and (if time) plotting other fields.
Task 4: Visualise ensemble members and difference
So far we have been looking at reducing the information in some way to visualise the ensemble.
To visualise all the ensemble members as normal maps, we can use stamp maps. These are small, stamp sized contour maps plotted for each ensemble member using a small set of contours.
There are two icons to use, stamp.mv and stamp_diff.mv. Plot the MSLP parameter for the ensemble.
Q. Using the stamp and stamp difference maps, study the ensemble. Identify which ensembles produce "better" forecasts.
Q. Can you see any distinctive patterns in the difference maps? Are the differences similar in some way?
If time:
- use the stamp plots , identify the 'bestto select 'better' forecasts and use ens_to_an.mv to modify the list of ensembles plots. Can you tell which area is more senstive in the formation of the storm?
- use the pf_to_cf_diff macro to take the difference between these perturbed ensemble member forecasts from the control to also look at this.
Task 5: Cumulative distribution function at different locations
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