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.

...

pmin=minvalue(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:

...

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

return [vis,graph]

...

• add a Legend with disjoint mode. Use user text 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 macroMacro.

Doing the whole task in Macro

...