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Right-click on the icon and select 'Edit'. Change the plot layout like this:

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Note how some plots can be single parameters whilst others can be overlays of two (or more) fields.

Wind parameters can be shown either as arrows or as wind flags ('barbs') by adding 'f' to the end of variable name e.g. "wind10f".

Exercise 2: The operational HRES forecast

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Available lead times for the St Judes storm are forecasts starting from these October 2013 dates: 24th, 25th, 26th and 27th, all at 00UTC.

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

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Available plot types

Panel

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For this exercise, you will use the metview icons in the row labelled 'Oper HRES forecast' as shown above.

operhres_rmse.mv                                                                   : this plots the root-mean-square-error growth curves for the operational HRES forecast for the different lead times.

operhres_1x1.mv & operhres_2x2.mv    : these work in a similar way to the same icons used in the previous task where parameters from a single lead time can be plotted.

operhres_to_an_runs.mv                                              : this plots the same parameter from the different forecasts for the same verifying time. Use this to understand how the forecasts differed, particularly for the later forecasts closer to the event.

operhres_to_an_diff.mv                                                  : this plots a single parameter as a difference between the operational HRES forecast and the ECMWF analysis. Use this to understand the forecast errors from the different lead times.

 

Parameters & map appearance. These macros have the same choice of parameters to plot and same choice of mapType, either the Atlantic sector or over Europe.

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Getting started

Task 1: Forecast error

In this task, we'll look at the difference between the forecast and the analysis by using "root-mean-square error" curves as a way of summarising the performance of the forecast. Root-mean square error curves are often used a standard measure to determine forecast error compared to the analysis and several of the exercises will use them.

In this task, all 4 forecast dates will be used.

Using the operhres_rmse.mv icon, right-click, select 'Edit' and plot the RMSE curves for MSLP (mean-sea-level pressure) & wgust10 (. Repeat for the 10m wind-gust )parameter wgust10.

Repeat for both geographical regions: mapType=0 and mapType=1.

Q. What do the RMSE curves show?
Q.
How do they vary according to lead-time?

Task 2: Compare forecast to analysis

a) Use the operhres_to_an_runs.mv icon (right-click -> Edit) and plot the MSLP and wind fields. This shows a comparison of each of the forecasts to the analysis.

b) Use the operhres_to_an_diff.mv icon and plot the difference map between a forecast date and the analysis.

We suggest looking at only one forecast lead-time (run) but when working in teams, different members of the team could choose a different forecast.

If you want to change the default date, edit the following line:

Code Block
titleChange model run (forecast lead time) in operhres_to_an_diff.mv
#Model run
run=2013-10-24

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