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You will need to tell Metview how to visualise this data, as there are multiple variables. Create a new NetCDF Visualiser icon, edit it and set the following parameters:
| Parameter | Value |
|---|---|
| Netcdf Data | Drop the era5_2000_aug.nc icon into this box |
| Netcdf Plot Type | Geomatrix |
| Netcdf Latitude Variable | latitude |
| Netcdf Longitude Variable | longitude |
| Netcdf Value Variable | t2m |
Save the icon and visualise it. For fun, drop the supplied icons contour_t2m and mollweide into the plot window to obtain the following:
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Examine the file madis-maritime.nc. We will plot the temperature variable. As you can see, there are 1-dimensional variables for temperature, latitude and longitude. Create a copy of your previous NetCDF Visualiser icon and edit it as follows:
| Parameter | Value |
|---|---|
| Netcdf Data | Right-click/remove the existing netCDF file from there, then drop madis-maritime.nc into this box |
| Netcdf Plot Type | Geo Points |
| Netcdf Latitude Variable | latitude |
| Netcdf Longitude Variable | longitude |
| Netcdf Value Variable | temperature |
Visualise it to get a default plot. In the solutions folder is a script called gallery_example_nc_maritime_obs.py, which converts from Kelvin to Celcius and adds some stying to the plot (generated as PDF - simply remove the mv.setoutput() command to get an on-screen visualisation).
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