CEDS Sector Mapping: 6B_Other-not-in-total

[jkikstra]

#26 (comment)

1. meaning we only exclude '6B_Other-not-in-total'

Sorry if this is answered already, I would have assumed we include this too...

I took the sector mapping file from CMIP6 and was building on top of that.
After Steve reviewed this mapping for CMIP7, he suggested to add back in '7BC_Indirect-N2O-non-agricultural' (#29).
Steve did not suggest to add in '6B_Other-not-in-total' anywhere.

Above, Zeb is now saying to add it back in.
To me, the name ("not-in-total") suggests we should ignore it?

Steve, can you explain? I find it very difficult to try to get information about these things from CEDS documentation (maybe it is somewhere).

Will we need '6B_Other-not-in-total' to get to the "total anthropogenic" emissions required as input to climate emulators?
Is this included in the historical data you provide for the ESM historical runs?

@ssmithClimate & @znichollscr

[znichollscr]

To me, the name ("not-in-total") suggests we should ignore it?

Ah I missed that, perhaps you're right (I guess I'm not sure what the name means, does "not-in-total" mean "don't put this in the total" or "this isn't in to the total, so when you're making the total, don't forget to include it").

[ssmithClimate]

It's not something we have used to date - we put it in our mapping just be complete in case we needed to use it (It was in some of the other sector naming systems we were drawing from). Fine to exclude it.

[znicholls]

@jkikstra we should probably assert that it is zero (i.e. really not used) just to be safe in case something changes and we don't notice.

[jkikstra]

Okay; did that now with the merge of #26.

[jkikstra]

Since this topic seems to be handled satisfactorily with lines

emissions_harmonization_historical/notebooks/0101_CEDS-prepare.py

Lines 94 to 104 in f94b538

	# '6B_Other-not-in-total' is not assigned, and normally not used by CEDS. To be certain that we notice it when something
	# ... changes, we check that it is indeed zero, such that we are not missing anything.
	year_cols = ceds.columns.astype(int)
	first_year = year_cols[0]
	last_year = year_cols[-1]
	sum_of_6B_other = (
	ceds.loc[pix.ismatch(sector_59="6B_Other-not-in-total")]
	.sum(axis=1) # sum across years
	.sum(axis=0) # sum across species and countries
	)
	assert sum_of_6B_other == 0

I'll close this issue.