"[M]easurement & tracking of GHG emissions [across scales] reflect a collection of ad hoc mandates & voluntary interests"
& argue to operationalise daily maps of emissions, "much like viewing daily weather"
Have a (free) read: pnas.org/content/118/35
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I completely agree with nearly all their points. The current system is a mess, & their roadmap would help understand & clean up a lot of that mess.
The unclear part to me is the best end point (which such a roadmap might reveal). Do we need / want daily real-time estimates?
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I would suspect daily emissions will go up & down, depending on weather, traffic, events, etc. Really one wants to smooth out the daily variations to get a trend. What time period for reporting is best? Daily, weekly, monthly, annual, ...?
And at what spatial resolution?
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For now, "real time" (eg monthly) estimates require proxy data & that proxy data is not always the best. Eg
iopscience.iop.org/article/10.108
agupubs.onlinelibrary.wiley.com/doi/10.1029/20
Though, has plenty of good US examples...
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Lots of work to be done, some examples I am involved in at & , more on operationalising verification & complementing inventory approaches with observational data.
Also check out the work of , basically using data to check data.
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