Sometime this summer depending on staffing.
- Make the 1var training function capable of handling training data with NA values. Create functions for 1var residual generating and full field generating. This would be just taking all the 2var stuff I’ve written and adapting.
- Make a tutorial0 focused on the one step training and generating functions: one variable, two variable, data with NA values, and using a different
tgav than that calculated from the data.
- Train TP emulators for a handful of major ESMs and put them on Zenodo. Then we can include the link to that in the github repo.
- Make the names of the functions in fldgen more generic: train2var instead of trainTP, using things like var1, var2 instead of T and P. The actual science is all the same - our 2 var functions should work for any 2 related variables, not just TP. So we could make the names reflect that.
Sometime this summer depending on staffing.
tgavthan that calculated from the data.