In this new paper we turn that around and seek to identify plausible scenarios and analyze them as a subset of all scenarios
Plausibility as a criteria to evaluate scenarios comes from IPCC
We define plausibility as an acceptable growth rate error in CO2 emissions 2005-2020 & 2005-2040
We use 2 error filters with 1311 AR5 & SSP scenarios identifying the 5-10% & 20-40% most plausible scenarios ⬇️
Here you can see the envelope of plausible scenarios overlaid on all 1311 scenarios
The plausibility filter does not make much difference at the top end - both top out at <50 Gt CO2 to 2100
The low end is a bit lower for the less stringent filter
You will want to look at this figure for a little bit, I think it is amazing
It shows how ridiculous current baseline scenarios are & also shows most plausible scenarios center on SSP3.4 outcomes (and that's good news!)
The subset of plausible scenarios project continued climate policy implementation -- so there is a lot of work to do
But they collectively indicate that the world in 2021 is much better positioned to take on this challenge (and it is a challenge) than conventionally assumed
The plausibility of negative CO2 technologies has been questioned
Neg CO2 is central to most of our plausible scenarios
So we stripped out the negative emissions and our conclusions still hold
The plausible scenarios illustrate the importance of neg CO2 to policy success
For fellow nerds we also decompose the plausibility analysis by Kaya factors & all looks solid (except pc GDP, which we documented in Burgess et al 2020: iopscience.iop.org/article/10.108…)
Here are our conclusions
One big question is metaphysical: Does this analysis say something meaningful about our collective future, just about how we think about that future or both?
Taking IPCC scenarios seriously, this analysis is welcome good news, but much work remains
Please see my colleague @matthewgburgess excellent thread on the paper here:
You might remember late last year a study was published arguing that hurricanes were staying stronger, longer over land, looking at 1967-2018
Headlines followed ...
New study looks at a longer time period-1900-2019-finds over the period of record that storms are actually weakening faster (non-sig downward trend), even after removing outliers
"There is no significant linear trend throughout the whole 120-year period"
Tropical cyclones in Hong Kong region 1885-2017
"The reconstructed series of TCs from 1885 to 2017 indicated an apparent decreasing trend accompanied by obvious inter-annual to multi-decadal variability." link.springer.com/article/10.100…
From the same paper, TC landfalls in China 1884-2016
"the number of TCs affecting southern China coastal zone and the TC-caused precipitation in China mainland has actually decreased over the last 5–6 decades"
From the same paper, TC landfalls in Japan 1900-2014
"both the trends of annual TCs in Japan and affecting HK during the past 110 years plus showed a similar decrease (−0.08 and −0.11 TC/10 years, respectively)"
My focus is on "following the science?" and will focus on COIVD-19, science advice and @EScAPE_Covid19
Among things I'll discuss is the lack of US preparation for the pandemic in the context of science advice, including data ... as this jaw-dropping revelation from @alexismadrigal@yayitsrob reveals