The UNFCCC data in developed countries is pretty good, & perhaps even the gold standard. But we still need independent checks.
I would not even think of using UNFCCC data for developing countries, as it is incomplete, & buried deep within pdfs. Manual data entry required.
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The distinction between Annex I & non-Annex I for reporting was largely political, & may be a reason that non-Annex I reports so poorly (justify politics).
This is meant to change after the Paris Agreement, with all countries reporting (from 2024).
For Iraq, a war-torn country, there is one official estimate. Other datasets estimate annual emissions (using IEA, FAO, etc).
The Washington Post developed a method to match reported emissions (green dots) with independent inventories (black) to get a new estimates (green).
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The fact that Iraq has a very low official estimate that is very early in time means that when combined with official estimates, the gap is rather large by 2019.
Without more data it is very hard to verify the gap in 2019. What would an official estimate look like in 2019?
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China is not as bad, but we don't have sufficiently detailed emission inventories from China to understand what causes the differences. But, since China is 30% of global emissions, a small difference in China is a big difference at aggregate.
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We have done lots of work on fossil CO₂ emissions.
We are starting to do work on GHG emissions, but we have a long way to go. We have very little capacity & basically no funding for this work. This work should be updated annually, improved yearly, like we do in @gcarbonproject for CO₂ emissions.
There are projects working on this like @V_ERIFY_H2020, @che_project, @CoCO2_project, but for many of these the goal is to use observational data products (important).
But, there is so much to do just working with energy, land, & emissions data. Boring & tedious desk work!
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You may have heard that after revisions to land-use change emissions, total global CO₂ emissions are approximately flat over the last decade (black line).
But, how much do we revise carbon budget components each year?
Let's have a look...
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Fossil CO₂ emissions are revised each year, particularly the last decades. We update data & improve methods. Chinese data has had major revisions & cement was completely revised in 2018, plus lots of smaller improvements.
Land-use change (LUC) emissions are much more uncertain:
* 2014-2015: one bookkeeping model used
* 2016-2019: two bookkeeping models used
* 2020-2021: three bookkeeping models used
* 2021: major update of land-use forcing (change) datasets
After dropping 5.4% in 2020, global fossil CO₂ emissions are expected to increase 4.9% [4.1-5.7%] in 2021, finishing just 0.8% below 2019 emission levels.
"Everyone wants to keep the dream of 1.5°C alive. In every practical sense you are kidding yourself if you think that we are remotely heading towards 1.5°C"
The UNFCCC Synthesis Report says NDCs will lead to a 5% rise in emissions from 2019 to 2030. This is 16% above 2010 levels, as opposed to ~50% below as required for <1.5C. unfccc.int/news/updated-n…
If global CO₂ emissions stay at net zero, either:
* All countries need to be net zero ~2050, or
* Rich countries have net negative emissions post-2050, allowing developing countries to emit longer post-2050.
"Instead of leaving such work to volunteers, global institutions should marshal the funding & expertise to collect crucial data, & mandate their publication"
💯agree with @_HannahRitchie. No one wants to fund the giant who's shoulders we stand on.
The approach to science is to fund big models, expensive observations, etc. All this is needed, but somehow science seems to have forgotten the importance careful curation & maintenance of data.
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Science is full of projects that improve models, do model comparisons, process some satellite data, etc, & if you are lucky there might be a task that scrapes together some data to feed the models.
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