updated yaml for regionmapping files

[eahoegner]

adjusted to match new file names and folder structure for updated regionmappings

[jkikstra]

Looks great, two small changes then we can merge.

[jkikstra]

Let's keep it unchanged for now?

[jkikstra]

Can all be uncommented now

[jkikstra]

@eahoegner can you please revert the data/compare_wfd_inputs commit?

[eahoegner]

one question @jkikstra. we are here using three country combinations:

  sdn_ssd: ["ssd", "sdn"]
  isr_pse: ["isr", "pse"]
  srb_ksv: ["srb", "srb (kosovo)"]

however, in the historical data from CEDS and BB4CMIP7 we only aggregate srb_ksv. CEDS does report ssd and sdn, but no pse. BB4CMIP7 i can't check right now, need to re-download first when back in better wifi. but it would make sense to resemble historical here, wouldn't it?

[eahoegner]

actually, our aggregated historical dataset does have pse, although only for 40 species/sector combinations rather than 120 and with NaNs for earlier years. so I guess we can do the country combinations, but have to also do them for hist as well

[jkikstra]

actually, our aggregated historical dataset does have pse, although only for 40 species/sector combinations rather than 120 and with NaNs for earlier years. so I guess we can do the country combinations, but have to also do them for hist as well

40, not 120 - does that mean only fires has PSE?

[eahoegner]

seems like it, yes. i assume then that means we should aggregate this, otherwise parts of the emissions are counted under isr and parts under pse

[eahoegner]

downscaling spans 194 countries now

[jkikstra]

seems like it, yes. i assume then that means we should aggregate this, otherwise parts of the emissions are counted under isr and parts under pse

agreed

[jkikstra]

Would be good to create an overview of how to aggregate all data from GFED and CEDS, into the highest number of countries that can be uniquely matched to the GDP data.
Not sure if GDP data would also need to be aggregated.
For instance, pse and isrl.

kosovo should now be in the new GDP data though - probably as XKX (link)

[jkikstra]

Thanks a lot for this.

I think we need a strategy of how to deal with small territories/missing countries.

data:

• gfed (iso mask)
• ceds (aggregate data)
• ceds (proxy masks): https://iiasahub.sharepoint.com/:f:/r/sites/eceprog/Shared%20Documents/Projects/CMIP7/IAM%20Data%20Processing/concordia_cmip7_v0_testing/input/gridding/20250523/Jarmo_files/mask?csf=1&web=1&e=ppMlcZ
• IAM region mappings
• GDP

For this, we want to understand

• how the current workflow deals with emissions for 'missing' regions
• how we make sure we're not 'losing' any emissions
• how we make sure that the downsclaing of combined regions makes sense
• how we make sure that the gridding of combined regions makes sense