Open jkikstra opened 2 months ago
Thanks @jkikstra, super nice summary.
Therefore, I assume those responsible for the concentrations (@znicholls) would probably make just take the emissions as harmonized following 2., and feed that into an SCM, outside of climate-assessment.
Yep this is spot on. For the final CMIP7 ScenarioMIP, the SCMs (MAGICC, FaIR etc.) will only use the results based on the full regional, sectoral harmonisation (i.e. 2.). (It is this full regional, sectoral harmonisation which sits underneath the RCMIP emissions set, thanks again to @gidden for the years pulling that together took out of his life.)
At the same time, the IAM teams need quick feedback on the climate outcomes of their emissions pathways, in a way that is as close as possible to what we expect to come out from the final climate assessment/concentrations
Yes, definitely a challenge! My feeling is this: the AR6 workflow will put us in the right ballpark so groups can be ~ +/- 0.15C to whatever target they're trying to hit. If the IAM teams want to end up closer than that, say +/- 0.03C, once all is said and done, then we're going to need to work out our process and timeline a bit more precisely.
I think the steps are basically:
In terms of timeline:
Thanks Zeb. I will incorporate these points above and update later.
Yes, definitely a challenge! My feeling is this: the AR6 workflow will put us in the right ballpark so groups can be ~ +/- 0.15C to whatever target they're trying to hit. If the IAM teams want to end up closer than that, say +/- 0.03C, once all is said and done, then we're going to need to work out our process and timeline a bit more precisely.
Tomorrow, we have the climate & harmonization discussion in the ScenarioMIP in-person meeting. I will share this with them. My feeling is that 0.15K is very much unacceptable for the community towards the next round of submissions; therefore asking if a recent FaIR calibration can be used. I will give an overview of the constraints. But let's stay in touch.
My feeling is that 0.15K is very much unacceptable for the community towards the next round of submissions; therefore asking if a recent FaIR calibration can be used. I will give an overview of the constraints.
Ok. I would say the community is still not really understanding the limits of climate projections then (and what is going to happen once they're ultimately sent through ESMs anyway). A simple TCRE calculation puts you in the +/- 0.2C ballpark already, so modelling groups shouldn't have that many surprises and, any surprises that are there should all be basically related to non-CO2 stuff.
Nonetheless, if you can tell me when the ideal deadline for a frozen calibration for CMIP7 scenario runs would be and why, I can see what is possible from the MAGICC side.
towards the next round of submissions
When is this planned for?
therefore asking if a recent FaIR calibration can be used
Just as a note, this may not be any closer to the final CMIP7 calibration than the AR6 setup (depending on what new science we have to include in the projections, e.g. updated wetland methane emissions parameterisations).
Hey @znicholls, didn't mean to rock the boat / startle you. Just relaying first impressions - but nothing decided yet.
I just spoke also to a few more people, some also think sticking with AR6 setup is anyway fine.
towards the next round of submissions
When is this planned for?
December
I would say the community is still not really understanding the limits of climate projections then
From the IAM side, it's about designing the pathways in such a way that they are as much as possible in line with a "best science best estimate". 0.15K is a lot, for best estimate differences. It makes a big difference, for the Very Low scenarios, on how much/quick you can/need to go down in the first decade(s) to limit peak temperatures enough.
Therefore, having an update before the December submissions would be very helpful, such that the IAMs can make some 'best guess' tweaks still after that submission still (towards the final submission), where they need to align more with the scenario design.
But if the best estimate is that it's not 'closer' to the final calibration later, then it would of course not be worth the work!
updated wetland methane emissions parameterisations
~ +/- 0.15C
They would like to know why you estimate this at 0.15; what are the updates in climate science that you expect could lead to the major part of this potential change?
December
Tight, but good to know there is some time to do some thinking.
But if the best estimate is that it's not 'closer' to the final calibration later, then it would of course not be worth the work!
Yep, and this is the bit that's impossible to predict. We've got to pick which best-estimate we want to match. I think there's lots of good arguments for matching AR6 best-estimate, rather than whatever we have in December, but let's see what we learn over the coming months before deciding. I guess the key point is this: it's tricky and there's no obvious/objective answer.
They would like to know why you estimate this at 0.15; what are the updates in climate science that you expect could lead to the major part of this potential change?
Expert judgement :) In more detail, it's knowing the rough magnitude of what ESMs might serve up as they improve their carbon cycles, how much uncertainty there is around the best-estimate for non-CO2 stuff (particularly methane and aerosols), seeing the difference between MAGICC and FaIR (which could both be argued to be 'best-estimate', but differ by roughly this much in some cases), the uncertainty in observational timeseries. The change could be zero of course, but if we have a change bigger than ~0.15C, I would go looking for a bug in my code first. If the change is smaller than this, then I would not be surprised if we can explain it all due to science updates. Chris might have more thoughts on what, if any, new science has come out since AR6 and what impact this would have, which would give a more evidence based estimate.
Alrighty, my notes from discussion today. @jkikstra may add his own too:
Understanding: we're targeting a scenario team meeting at end of Jan. We want to have a frozen emulator set by then to allow IAM teams to then iterate on their scenarios with a known target.
A suggestion: don't think of harmonisation as something you do at the end. Think of it like you think of climate emulators. i.e. if you think climate emulators should be frozen by mid-Jan, then you also want harmonisation frozen by mid-Jan. Reasoning: these two elements can be equally painful for getting a 1.5C scenario to be 1.5C +/- 0.03C and not 1.5C +/- 0.10C. Infilling should also be included in this basket, i.e. think of climate emulators, harmonisation and infilling altogether, not as separate steps. (I am 100% certain that, if you freeze your scenarios, then only start fiddling with harmonisation in May, a massive headache and delays in delivery will be the result.)
A further suggestion: to do this well, numerous iterations will be required. Get teams prepared for the idea that they should be talking regularly and iterating as fast as possible, rather than meeting once every two months, and not speaking in the meantime (that'll only give you ~4 iterations between now and final scenarios, which probably won't be enough). The more times we can get scenarios to run through the entire machinery, and be checked by multiple people, the better the outputs will be.
Figuring out sensitivity to historical emissions
Want to do 3 experiments:
Steps:
Expected timeline: aiming to have this all done by mid-November
Expected science updates for CMIP7
Chris is already involved in indicators, so, as far as we know, the only major update is this wetland methane stuff, and even that only has limited lines of evidence so far.
So, the summary is probably, our known knowns are probably only going to give small revisions compared to AR6. Those known knowns will push warming up, but in low emissions scenarios probably only marginally (hundredths of a degree, not tenths). Known unknowns remain at +/-0.15C, we'll have to just live with that.
Steps:
Expected timeline: aiming to have this all done by mid-November
Processing historical emissions
Looks good to me, @znicholls. I spoke to Keywan about the following timeline (now also added to the first post). He thinks that this would work really well:
Current timeline
* 2024 * October-December: * updating historical emissions * introducing IAM teams to concordia workflow (regional, part 2) * settling on v1.0 for variable mapping (CEDSplus-IAM-concordia) * experimenting with harmonization methods (global, part 1) * October 28-31: CMIP7 Forcings Task Team meeting in Reading * October-November: running sensitivity experiments in FaIR and MAGICC * November 14: reporting fixes for v1.0 (becomes v1.1) of IAM scenarios * December: new round of IAM scenarios (v2.0) - with immediate AR6 climate assessment * 2025 * Jan 14 2025: updated climate-assessment (with FaIR and MAGICC updates, historical emissions updates, harmonization updates, infilling updates) ready * Soon after Jan 14: updated climate assessment (can be compared to previous climate assessment) * March-May 2025: new round of IAM scenarios (v2.0) * June 2025: final harmonization (part 2) & updated emulator workflow (part 1)
Throughout: (bi)weekly meetings on especially part 2, once the workflow is operational.
Super, thanks. Looks really good to me too!
For the ScenarioMIP process, many new variables are being added. Now the question is, how to map these emissions for harmonization?
There are a bunch of things here to take into account. Here, I list the ones I am now thinking of. More can be added to this description later. (last updated: 26.09.2024)
Note: for this repository, only the "mapping" tables are important, such that we have a complete & clear list. However, for lack of a better place, and to try to keep the discussion in one place, I provide more background information and more on current issues as well.
Introduction to Harmonization processes
There are two harmonization processes:
I will focus here on part 2., because it is not yet operational. However, I will also write bits about part 1., where changes may be required, too.
Current timeline
Throughout: (bi)weekly meetings on especially part 2, once the workflow is operational.
General issues
Additionality
Unless otherwise states, there should not be any overlap between emissions categories. E.g. if there is International Shipping and Transport, than Transport should not include emissions from International Shipping.
Completeness
Unless otherwise stated, summing up all variables should account for the total emissions. No emissions should be 'missed'.
Land-use emissions reporting. (IAM v Inventories)
There's the wish to have two separate reportings: (i) one following standard previous IAM practice, and (ii) one aligned with national inventories.
Two outstanding questions here:
Historical emissions data sources
Harmonization happens against some historical emissions dataset. This dictates, to a large extent, what kind of harmonization is possible.
Current questions about CMIP7 harmonization database:
Timing of harmonization
It is current practice to harmonize to a specific year.
Harmonization methods / rules
The harmonization rules applied affect future pathways, and thus affects how closely an emissions pathway reflects the original scenario.
Part 2: harmonization for ESMs
Current variable mapping (incomplete, to be improved upon)
My starting point is a description of the variables used in the RESCUE project was provided by @coroa, here:
This includes, for each expected emissions species:
There is also a used mapping of CEDS variables onto these RESCUE variables:
CO2
Known issues:
Emissions|CO2|AFOLU|Positive
is not yet part of the scenario templateCarbon Removal
variables in the template are missing)BC, CH4, CO, NH3, N2O, NOx, OC, Sulfur, VOC
Known issues:
HFC (total), C2F6, CF4, SF6
Known issues:
Part 1: harmonization for SCMs
Current variable mapping (incomplete, to be improved upon)
No mapping is required, it works on IAMC variables. All the required variables are currently included in the template. The workflow takes in a list of variables, documented here.
-> TODO: add table for climate emulator pipeline
Should 1. be updated to be as close as possible to 2.?
If method 1. follows all updates that are in method 2., you can get pretty close. So one can think that then method 1. would be the way to provide concentrations, too. However, pretty close, is not exactly the same, which is what we need.
If we want to allow IAM modelling teams to make their own, separate, harmonization decisions, on a regional level, it is not technically possible (or at least, lots of potentially unnecessary work) to reproduce this in the global-level-only climate-assessment workflow. Therefore, I assume those responsible for the concentrations (@znicholls) would probably make just take the emissions as harmonized following 2., and feed that into an SCM, outside of climate-assessment.
At the same time, the IAM teams need quick feedback on the climate outcomes of their emissions pathways, in a way that is as close as possible to what we expect to come out from the final climate assessment/concentrations. This means that climate-assessment would still need to be updated, for: (1) historical emissions, (2) climate model (FAIR/MAGICC/...) calibration, (3) harmonization methods.
People: @gidden @znicholls @coroa @phackstock (and others from IAM modelling teams will need to be included in this discussion too, with e.g. Nico Bauer already having brought this up in the last ScenarioMIP meeting).