Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Check for offshore electricity emissions #44

Open
1 task
lewisjared opened this issue Aug 18, 2024 · 6 comments
Open
1 task

Check for offshore electricity emissions #44

lewisjared opened this issue Aug 18, 2024 · 6 comments
Labels

Comments

@lewisjared
Copy link
Collaborator

lewisjared commented Aug 18, 2024

The problem

Decide if the electricity layer should be land-masked or not.

From Peter's comment here: #43 (comment)

Definition of "done"

  • Decide if the electricity layer should be land-masked or not.

Additional context

@lewisjared
Copy link
Collaborator Author

The night time lights layer is causing 12.5% of stationary, transport and industrial emissions to be placed offshore. The discrepancy test fails for these layers if they are land masked. This seems very high so it should be investigated.

@lewisjared
Copy link
Collaborator Author

I'm not sure about the details, but perhaps instead of masking we need to apply land area weighting? Alternatively the landmark could be expanded by x km to provide a buffer for offshore facilities

@prayner
Copy link
Contributor

prayner commented Aug 18, 2024 via email

@prayner
Copy link
Contributor

prayner commented Aug 18, 2024 via email

@lewisjared
Copy link
Collaborator Author

National domain

@prayner
Copy link
Contributor

prayner commented Aug 21, 2024

This is less of a problem than it appears ... using percentage errors
makes things look worse.
I ran the code then calculated totals without (1st number) and with
(second) the landmask. Fields which are masked already of course show
no difference.

OCH4_AGRICULTURE 0.16581610706220368 0.16581610706220368
OCH4_LULUCF 0.496588772438125 0.496588772438125
OCH4_WASTE 0.438749315468585 0.438749315468585
OCH4_LIVESTOCK 2.0541241120884504 2.0541241120884504
OCH4_INDUSTRIAL 0.0027976190476189915 0.0024463792167483014
OCH4_STATIONARY 0.05175595238095241 0.04525801550984454
OCH4_TRANSPORT 0.011190476190476162 0.00978551686699338
OCH4_ELECTRICITY 0.010087008862274222 0.010087008862274222
OCH4_FUGITIVE 1.149471726190475 0.9856538901068982
OCH4_TERMITE 0.47830002347239997 0.47830002347239997
OCH4_FIRE 0.33801258175785165 0.33801258175785165
OCH4_WETLANDS 9.725745624000517 9.725745624000517
OCH4_TOTAL 14.922639367772161 14.750567395663124

The fields which are showing impacts of landmasking are very small
indeed. The difference in the total is about 1% and that's almost all
contributed by fugitives which we don't want to mask. Electricity is
tiny but seems to correspond to a gridpoint which is misbehaving in
early inversion runs so I'll still look at that. The only thing I'm
worried about is whether this behaviour comes from a deeper error e.g.
nightlight regridding going wrong. I'll show a regridded nightlight
map to someone competent and if it's ok will close.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

No branches or pull requests

2 participants