In this exercise we will use Metview to produce the plots aligned on the same page shown above:
We will also attach a marker to show a specific location on the map (New York City) and customise the legend and title.
XXX Download data
Verify that the data are as expected.
We will prepare the plot interactively using icons. Then, at the end, we will put it all together into a macro. Remember to give your icons useful names!
With a new Geographical View icon, set up a cylindrical projection with its area defined as
South/West/North/East: 17/-97/51/-45 |
Set up a new Coastlines icon with the following:
Plot the GRIB file sandy_msl.grib into this view using a new Contouring icon. Plot black isolines with an interval of 5 hPa between them.
The fields you visualised were taken from the model run at 2012-10-27 0UTC and containing 12 hourly forecast steps from 0 to 120 hours. |
The storm track data is stored in the CSV file called 'sandy_track.txt'. If you open this file you will see that it contains the date, time and geographical coordinates of the track points.
Create a newTable ReaderTable Visualiser icon and set it to visualise your CSV file:
TABLE_DELIMITER = ' ' //it means whitespace. In the editor do not type in the quotes it just press whitespace TABLE_COMBINE_DELIMITERS = ON TABLE_HEADER_ROW = 0 |
Now drag your Table Visualiser icon the map plot to overlay with the mean sea level forecast.
The storm track in its current for does not look great so you need to customise it with a Graph Plotting icon by setting the
To finalise the track plot you need to plot the date/time labels next to the track points. This can be done with a Symbol Plotting icon by specifying the list of labels you want to plot into the map. Since it would require too much editing you will learn a better way of doing it programatically by using Metview Macro,
Create new Macro and edit it. First, read the CSV file in with theTable Reader (see its documentation here):
tbl = read_table( table_delimiter : " ", table_combine_delimiters : "on", table_header_row : 0, table_filename : "sandy_track.txt" ) |
Here variable tbl
contains all the columns from the CSV file. Now read the date and time (from the first two columns) into vectors:
val_date=values(tbl,1) val_time=values(tbl,2) |
Next, you need to build the list of labels. Each label is made up from a day and and a hour part. Use this loop to construct the list:
labels=nil for i=1 to count(val_date) do labels = labels & [" " & substring(string(val_date[i]),7,8) & "/" & val_time[i] ] end for |
Finally, define a Symbol Plotting icon to plot the text labels and return it.
sym = msymb( symbol_type : "text", symbol_text_font_colour : "black", symbol_text_font_size: "0.3", symbol_text_font_style: "bold", symbol_text_list : labels ) return [sym] |
By returning the visual definition you built Macro behaves as if it were a real Symbol Plotting icon. So once the Macro is finished drag it into the plot and you should see the labels appearing along the track.
With a new Geographical View icon, set up a cylindrical projection with its area defined by its lower-left corner [20oN, 110oW] and its upper-right corner [70oN, 30oW].
Set up a new Coastlines icon with the following:
Plot the GRIB file msl.grib into this view using a new Contouring icon. Plot black isolines with an interval of 5 hPa between them. Since this will be plotted on top of another field, it would also be a good idea to increase the thickness of the isolines. Activate the legend in the Contouring icon and set the legend text for this icon to "MSLP". Animate through the filelds to see how the forecast evolving.
The GRIB file precip.grib contains a pre-processed field of precipitation accumulated over 3 hours before and after the time of the MSLP field (a total of 6 hours of precipitation).
GRIB files store their fields in SI units. For precipitation this is metres, which is not what meteorologists tend to use. Metview will normally automatically scale such parameters into their 'normal' units (in this case mm), but if a field is the result of some post-processing (as this one is) then this scaling will not be applied because the processing may have changed the nature of the field. Here, the field is still precipitation, so we would like the normal scaling to be applied. The Contouring icon has a parameter called Grib Scaling of Derived Fields which should be set to On in this case. |
Plot the precipitation data using new Contouring icon. Do this in isolation from the MSLP field until you are happy with the result.
Visualise your Geographical View icon and drop the following icons into the Display Window:
Create a new Legend icon and change Legend Display Type to Disjoint. Play with the font size and colour and set the legend title to say something about the precipitation field. Drop it into the Display Window to see the results.
One easy way to add a place-mark is to use the Input Visualiser icon and combine it with a Symbol Plotting icon.
Edit a new Input Visualiser icon and set the following:
Input Plot Type | Geo Points |
Input Longitude Values | -74 |
Input Latitude Values | 40.71 |
Create a new Symbol Plotting icon to plot this as a red marker (the filled circle is marker index 28) with some text for its legend entry.
Using a Text Plotting icon, add a custom title as shown in the plot.
Generate a macro which will reproduce your plot with a single click. This can be done either by clicking the Generate Macro button from the Display Window or by editing a new Macro icon, dropping your data and visdef icons into it and adding a plot()
command.
Try the following if you have time.
There are various ways we can ensure that the title has the date and time according to the actual data. The default title in fact contains the date and time, but in this exercise we want more control over it.
Construct the second line of the title by extracting the date and time from the MSLP field and converting into an appropriate string - do this in the Macro code.
Hints:
msl_grib
, the following line will extract the date at which the field is valid:msl_date = grib_get_long(msl_grib, 'validityDate')
full_date = date(msl_date) + hour(msl_time)
string()
function to construct a date string similar to the one used in the current titlemtext()
function instead of the current titleModify the Coastlines icon, for example: