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Chris Smith 🇪🇺
@chrisroadmap
Climate scientist . Climate projections, radiative forcing, emulators, energy system. IPCC SR1.5 & AR6 contributor. Open science. Runner.
Leeds, UKJoined March 2011

Chris Smith 🇪🇺’s Tweets

less than 24hrs to get your abstracts in!
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Wow, things creep up fast. Right on the heels of an awesome AGU session, the abstract deadline for #EGU23 is next week - 10 Jan Emulators and simple climate models: development and applications meetingorganizer.copernicus.org/EGU23/session/
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Abstract submission open for #EGU23 session AS3.5 on composition-climate interactions. See meetingorganizer.Copernicus.org/EGU23/session/ On behalf of William Collins, , , myself and
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Do not miss the #EGU23 Call for Abstracts! Submit your abstract by 13.00CET 10 January 2023 Abstract submission guidelines egu23.eu/programme/how_ Please contact us for any questions or technical issues at: egu23@copernicus.org #Sustainability #CircularEconomy #energy
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While trying to get FaIR out for an AGU-ready release (fail), me and Thomas Gasser also had a nice little primer paper come out on modelling non-CO2 contributions to climate change: authors.elsevier.com/a/1gG9W9C%7EIt
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Wondering how climate models are used to estimate the mitigation potential of methane? Need a refresher on earth system models vs. emulators? This excellent new Primer is for you: doi.org/10.1016/j.onee @chrisroadmap @ICASLeeds @IIASAVienna
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It was a great morning! For those who were interested in the climate emulators and simple climate models get ready for #EGU23! You won’t want to miss session on simple climate models - development and applications
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It looks quiet now, but going to be a GREAT poster season for GC32L: Evaluating and quantifying uncertainty in climate models and emulators, convened by @krdorheim and colleagues. Come by! #AGU22
An empty poster hall in a convention center
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Tip for AGU in-person last-minute poster presenters: FedEx is cheaper than the official provider (~$74 inc. tax for 36x48 in; that's the biggest they do), there's loads of them in downtown Chicago & they offer same day pick-up if ordered before noon.
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The other day I did a thread on modelled & historical concentrations, but this was not using harmonised data & the same model. Now the data is available to compare across MAGICC & FAIR from AR6. Both doing well for CO₂ (but MAGICC in last years?) twitter.com/Peters_Glen/st 1/
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What is going on with atmospheric N₂O? @LeonSimons8 pointed out that N₂O concentrations have diverted somewhat from the modelled SSPs (based on IAMs, & presumably MAGICC). Is this a problem? Well, it is hard to say, but probably needs more digging... 1/
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🚨3-year post-doc at Met Norway!🚨 We have an exciting new Horizon Europe project w/10 European partners to build a new systems-dynamics based IAM that includes feedbacks from climate change on human and natural systems:
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The study shows pledges to cut emissions agreed at #COP26 are not likely to be sufficient to restrain global temperature rise to 1.5°C In this video, presenter @alexdeakin explains how more ambitious pledges could make a difference. #MetOfficeCOP27 #GetClimateReady
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An update to the analysis we did last year on the Global Methane Pledge taking new signatories into account
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#GlobalMethanePledge when delivered by 150 signatories will save 0.07C of temperature rise - could save 0.1C if China joined @CONSTRAIN_EU @chrisroadmap
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temperature benefit of methane pledge
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So what is the message? The opportunity to reduce uncertainty in aerosol forcing has a lot of promise - and if I was to be provocative - more so than climate sensitivity. But either would be very useful, and give us more confidence in where we are headed under a given scenario.
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Aerosol forcing, at least in theory, can be estimated from observations over the last few decades. The uncertainty is still large and we can't go back to pre-industrial, but again great work has been done recently to narrow this uncertainty (e.g. Bellouin et al. 2020).
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We would argue that (E)CS is harder to observationally constrain. Though excellent work has been done over the last decade or so to reduce uncertainty (e.g. Sherwood et al. 2020; AR6 WG1 Ch7), (E)CS can never be directly observed.
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Given the strong anti-correlation between present-day aerosol forcing and climate sensitivity, this is essentially the same question viewed from a different angle. It's more intuitively obvious that low CS implies less warming, and high CS gives more warming.
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The unmasking of strong (1.5 ± 0.1 W m-2) present-day aerosol forcing gives 2°C of warming. Weak aerosol forcing (0.5 ± 0.1 W m-2) can remain under 1.5°C. All pathways are consistent with historical observations, by definition as constrained during the IPCC AR6 WG1 process.
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We took the IPCC AR6 projections of SSP1-2.6 using the reduced-complexity FaIR climate emulator and formulated the question as: "if we knew the aerosol forcing was strong/average/weak, what can we say about warming?"
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