Case description

In this exercise we will use Metview to produce the plots shown above:

...

Next, we build the list of labels. Each label is made up from a day and an hour part separated by a slash. We convert the date into a string and then take the last two characters to get the day. Use this loop to construct the list of labels:

labels=nil

for i=1 to count(val_date) do
    dPart = substring(string(val_date[i]),7,8)
    tPart = val_time[i]
    label =  "   " & dPart & "/" & tPart
    labels = labels & [label]
end for

...

Create new Macro and edit it. First, read the CSV file in the very same way as before. However, this time, on top of date and time, we also need to read latitude and longitude into vectors:

val_latlon=values(tbl,3)
val_lonlat=values(tbl,4)

Next, read in the GRIB file containing the mean sea level forecast:

...

p=read(
		data: g,
		step: (i-1)*2412,
		area : wbox
		)

Here we used the fact the forecasts steps are stored in hours units in the GRIB file.

Next, compute the minimum of the field in the subarea using the minval() macro function:

pmin=minvalminvalue(p)

Finally, build the lists list for the values (scaling Pa units stored in the GRIB to hPa units):

trVal= trVal & [vpmin/100]

And also build the list of dates:

...

Hints:

• first, just try to add the your Graph Plotting definition to the Macro and in . In the end return both the Input Visualiser and the Graph Plotting as a list like this:

return [vis,graph]

If you visualise the Macro now your Graph Plotting settings will be directly applied to the resulting curve.

• next, compute the maximum of the pressure (with the maxvalue() function)  in the loop .  Store and store its values in another list and build . Build an input visualiser out of it (e.g. call it vis_max). Define another Add a Graph Plotting for it (e.g. call it graph_max) using a different colour. In the end now you need to return a longer list like this:

return [vis,

...

graph,vis_max,graph_max]

• the average pressure curve (with the average() function) can be derived in a very similar manner

• add a Legend with disjoint mode. Set legend_text_composition to user_text_only and carefully set the legend_user_lines to provide a textual description to each curve in the legend. Add your legend to the back of the list you return from the Macro.

Doing the whole task in Macro

Try to write a single Macro that is doing all the tasks in one go and directly produces the composite plot with the map and graph in the end.