@oo1
I think that you have been working to make the paper clearer. So i am using your definition draft and adding a section after the "Abstract". It goes like so:
Unit of measure
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Exposed data are annual throughput of carbon-dioxide equivalent emissions. The unit is giga-tonnes of CO2-equivalent/year, or Gt/year for short. For any greenhouse gas, the number represents the mass of carbon dioxide that would warm the earth over a hundred years as much as the mass of the gas newly-sent.
Thank you for your feedback. Let's suppose that we do not wish to indicate tonnage (of CO2-equivalent over 100 years) but flux (tonnage of CO2-equivalent over 100 years per year).
I wonder if we would use the unit often found in the literature: "GtCOe.y-1".
I do not contest that it is scientific but i propose that it cannot be understood without a degree in math.
I do not worry about trolls: my purpose is to be understood by non-trolls. What do you think?
Xi is pushing climate, study shows
Enabling climate acceleration are economic sectors such as land use, China coal, Saudi Aramco, Coal India, Gazprom (Russia), National Iranian Oil — in that order. Since 2021, China coal sends more carbon in the air than NATO equities and Arab states combined. The China coal sector is increasing capacity and is delivering 12.7 GtCOe in 2024.
The #GreenhouseForcing results are published at: http://data.yt/projections/2024-results.html @climate
Eric Maugendre @hachyderm.io I am a French data scientist (he/him). Founder of an in-house product of 👮🏽data capture: http://data.yt/#presentations Here i enjoy conversations about privacy, input redress, #data governance.