Did you look into any temporal patterns? Is there any seasonal dependency to the location of the classes? Or do they have any longer term trends of the classification location?
We could look at location statistics (moments of the distribution, with error informed by the number of profiles perhaps). We could also look at the depth of Tmax and other quantities. How do they change with time?
Also should plot how the profile labels change distribution over time.
This was a question at OSM22 from Erin Thomas:
We could look at location statistics (moments of the distribution, with error informed by the number of profiles perhaps). We could also look at the depth of Tmax and other quantities. How do they change with time?
Also should plot how the profile labels change distribution over time.