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Icon 'an_2x2.mv' can produce up to 4 plots per page.

 

How
Info
title How to change the parameters in the plot 

For the 'an_1x1.mv' icon, the plot contents can be changed by editing the plot1 variable in the macro as shown in the above first exercise.

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Animate the plots in the display window by clicking

 

title
Info

How to change the plot appearance

 

For the an_2x2.mv icon the number of maps appearing in the plot layout can be 1, 2, 3 or 4.  This is true of all the icons labelled '2x2'.

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Some tasks will use all the lead times, others require only one.

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Questions

Panel
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  1. How does the HRES forecast compare to analysis and observations?
  2. Was it a good or bad forecast? Why?
  3. How does the forecast change with the different lead times?

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Gliffy Diagram
nameensemble workflow

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Questions

Panel
THIS NEEDS IMPROVING
  1. How does the ensemble mean compare to the HRES forecast and analysis?
  2. Note how the ensemble spread develops - are there any clusters of forecasts developing?
  3. In the stamp map, are there any members that provide a better forecast? Is it possible to see why these forecasts are better?

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Panel

For these exercises please use the Metview icons in the row labelled 'ENS'.

ens_rmse.mv : this is similar to the oper_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.

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 the 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.

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.

 

Additional plots for further analysis:

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ens_1x1.mv : this plots a single map of a single ensemble member, the mean or the spread.

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.

Getting started

Note

Task 1: RMSE "plumes"

 

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