Evaluate your own maps

Once you have installed the data challenge and downloaded the data, you can now evaluate your maps. Although, you might want to check first that your sea level anomaly or sea surface currents maps respect a certain format. You can then scroll through the different metrics, checking the DUACS evaluation notebooks as example.

Maps format

The input netcdf files must contain:

latitude, longitude and time dimensions.
for sea level anomaly evaluation, a sea level anomaly variable sla.
for currents evaluation, a meridional and a zonal currents variable ugos and vgos.

Note that some formatting can be done using xarray within the jupyter notebooks. For instance, you can change a variable’s name simply with ds = ds.rename_var({'my_sla':'sla'}).

Sea Level Anomaly maps format

SLA Format

Currents maps format

Currents_Format

Available metrics and where to find them

SSH evaluation with independant nadir SSH data

Check example 1 

Grid boxes statistics (maps)
- SSH Error variance
- SSH Explained variance

Statistics by regimes (scalar scores)

Spectral effective resolution (maps)

Currents evaluation with independant drifter currents

Check example 2 

Grid boxes statistics (maps)
- Currents Error variance
- Currents Explained variance

Statistics by regimes (scalar scores)

Zonaly averaged rotary spectra (omega-latitude plots)

Currents evaluation with independant drifter trajectories

Check example 3 

Drifter deviation maps at fixed horizons (maps)
Drifter deviation global (horizon series)