"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…
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Ambition has gone up, mainly through raised ambition in the US, EU, and China (the big emitters) with minor changes from other big emitters. These ambitions need to be matched with policy. As seen in some countries, this is not easy... unep.org/resources/emis…
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This all means the world is heading to about 2.5C in 2100, from which the temperature will keep rising after 2100.
This is not 5°C, nor 4°C, not even 3°C. But, it needs policies for that to happen. It is not a given.
Countries have high ambition. We have been sucked into the rhetoric of governments. If governments implement policies to mach ambition, we could be good for ~2°C. Of course, this is great, but lots needs to happen. go.nature.com/3A3nIAs
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Optimism is high because countries are making pledges, keeping the dream alive.
If we want to solve the climate problem, what matters most is what countries are doing TODAY.
Be optimistic when meaningful policies get implemented...
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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.
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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