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Available plot types
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For these exercises please use the Metview icons in the row labelled 'ENS'. ens_rmse.mv : this is similar to the hres_rmse.mv in the previous exercise. It will plot the root-mean-square-error growth for the ensemble forecasts. ens_to_an.mv : this will plot (a) the mean of the ensemble forecast, (b) the ensemble spread, (c) the HRES deterministic forecast and (d) the analysis for the same date. ens_to_an_runs_spag.mv : this plots a 'spaghetti map' for a given parameter for the ensemble forecasts compared to the analysis. Another way of visualizing ensemble spread. stamp.mv : this plots all of the ensemble forecasts for a particular field and lead time. Each forecast is shown in a stamp sized map. Very useful for a quick visual inspection of each ensemble forecast. stamp_diff.mv : similar to stamp.mv except that for each forecast it plots a difference map from the analysis. Very useful for quick visual inspection of the forecast differences of each ensemble forecast.
Additional plots for further analysis:
pf_to_cf_diff.mv : this useful macro allows two individual ensemble forecasts to be compared to the control forecast. As well as plotting the forecasts from the members, it also shows a difference map for each. ens_to_an_diff.mv : this will plot the difference between the ensemble control, ensemble mean or an individual ensemble member and the analysis for a given parameter. |
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Experiment with changing the contour value and (if time) plotting other fields.
Task 4: Visualise ensemble members and
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differences
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 several visualisation methods, a popular way is to use stamp maps. These are small, stamp sized contour maps plotted for each ensemble member using a small set of contours.
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Use the stamp_diff.mv plot to look at the differences between the ensemble members and the analysis. It can be easier to understand the difference in the ensembles by using difference stamp maps.
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Compare ensemble members
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to analysis
After visualizing Following analysis of the stamp maps, it can be useful to use to animate a comparison of individual ensemble members to the analyses.
ens_to_an_diff.mv and pf_to_cf_diff.mv can be used to compare individual ensemble members to the analyses.
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Suppose we want to To animate the difference in MSLP of an individual ensemble member 30 to the analysis.Set, edit the lines:
To compare the control forecast:
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Extra task if time: Find ensemble members that appear to produce a better forecast and look to see how the initial development in these members differs.
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