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arxiv: 2604.13446 · v1 · submitted 2026-04-15 · ⚛️ physics.ao-ph · stat.AP

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Modeling the Sea-Level Change from U.S. Vehicle Emissions

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Pith reviewed 2026-05-10 12:30 UTC · model grok-4.3

classification ⚛️ physics.ao-ph stat.AP
keywords sea-level risevehicle emissionsU.S. transportationclimate modelingglobal mean sea-level riseregional sea levelemissions mitigationprobabilistic projections
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The pith

U.S. vehicle emissions reductions cut global sea-level rise by 1-2 cm by 2100 but over 6 cm by 2200 with larger coastal effects

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper replicates and extends EPA analyses of U.S. on-road vehicle emissions using coupled climate and sea-level models over extended timescales. It finds that mitigation produces only modest global reductions by 2100 but substantially larger differences by 2200, plus amplified local sea-level changes along U.S. coasts. A sympathetic reader would care because short-horizon assessments may understate the cumulative and regionally concentrated benefits of transportation decarbonization. The work incorporates probabilistic weighting to represent uncertainties in future climate and sea-level responses.

Core claim

Coupling the FaIR climate model to the BRICK sea-level model under SSP2-4.5 and alternative emissions scenarios reproduces EPA estimates of 1-2 cm global mean sea-level rise reduction by 2100 from vehicle emissions mitigation but shows these differences exceed 6 cm by 2200; regional downscaling reveals larger effects, especially along the Gulf of Mexico coast.

What carries the argument

The coupling of the FaIR climate model with the BRICK sea-level model under probabilistic weighting to capture joint uncertainties across multi-century timescales.

If this is right

  • U.S. vehicle emissions reductions produce sea-level benefits that continue to grow well beyond 2100.
  • Local sea-level effects along U.S. coastlines exceed global averages, especially on the Gulf Coast.
  • Scenarios with stalled technological progress or pre-regulation fleets produce larger differences in projected sea-level rise.
  • Probabilistic modeling shows the range of possible long-term outcomes under uncertainty.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Transportation policy evaluations should routinely examine multi-century sea-level consequences rather than stopping at 2100.
  • Vulnerable U.S. coastal regions may need adaptation planning that accounts for amplified local effects from national emissions.
  • The same extended modeling approach could quantify sea-level contributions from other individual economic sectors.

Load-bearing premise

The FaIR and BRICK models combined with the chosen emissions scenarios and probabilistic weighting accurately represent physical climate-sea-level processes and uncertainties without major structural biases.

What would settle it

Long-term observations of global and U.S. regional sea-level rise that show differences between mitigated and unmitigated vehicle emissions scenarios diverging from the modeled 6+ cm gap by 2200.

read the original abstract

Recent U.S. Environmental Protection Agency (EPA) analyses have argued that greenhouse gas emissions from U.S. on-road vehicles contribute negligibly to global mean sea-level rise (GMSLR). Here, I replicate and extend the EPA's modeling framework using the FaIR climate model coupled with the BRICK sea-level model, incorporating a probabilistic weighting approach and a longer model timescale to better represent joint climate-sea-level uncertainty. In addition to the baseline SSP2-4.5 scenario and an EPA-consistent emissions reduction case, I examine alternative scenarios reflecting stalled technological progress and a counterfactual pre-regulation vehicle fleet. Results reproduce EPA estimates of approximately 1-2 cm of GMSLR reduction by 2100 under vehicle emissions mitigation but show that these differences grow substantially over multi-century timescales, exceeding 6 cm by 2200. Downscaling to U.S. coastlines reveals larger local effects, particularly along the Gulf of Mexico Coast. These findings highlight the long-term and regionally amplified benefits of emissions reductions from the transportation sector.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript replicates EPA estimates of U.S. on-road vehicle emissions contributing ~1-2 cm to global mean sea-level rise (GMSLR) by 2100 under mitigation using the FaIR climate model coupled to the BRICK sea-level model with probabilistic weighting. It extends the analysis to multi-century timescales, finding that mitigation differences grow to exceed 6 cm by 2200, and downscales results to show amplified local sea-level effects along U.S. coastlines, especially the Gulf of Mexico. Alternative scenarios for stalled progress and pre-regulation fleets are also examined.

Significance. If the long-term and regional results hold, the work usefully demonstrates that near-term sea-level benefits from transportation emissions reductions are modest but amplify substantially over centuries, with regional variation. The reproduction of EPA 2100 estimates and use of established reduced-complexity models with probabilistic weighting provide a clear baseline. The central multi-century amplification claim, however, depends on the structural fidelity of BRICK's ice-sheet and thermal-expansion components under sustained forcing differences.

major comments (2)
  1. [§2 (Model coupling and BRICK implementation)] §2 (Model coupling and BRICK implementation): The FaIR-BRICK coupling and probabilistic weighting are applied to existing parameter ensembles, but no sensitivity tests or structural variants are presented for the Antarctic ice-sheet component. The reported growth from 1-2 cm GMSLR difference at 2100 to >6 cm at 2200 (abstract and results) therefore rests on the assumption that BRICK's semi-empirical dynamics remain valid without marine ice-sheet instability or hydrofracturing, which are known to become relevant on these timescales.
  2. [§4 (Regional downscaling results)] §4 (Regional downscaling results): The claim of larger local effects along the Gulf of Mexico Coast is presented without direct comparison to independent regional sea-level projections or tide-gauge records. This makes it difficult to determine whether the reported amplification is robust or an artifact of the downscaling assumptions applied to the global BRICK output.
minor comments (2)
  1. [Abstract] Abstract: The alternative scenarios (stalled technological progress and counterfactual pre-regulation fleet) are mentioned but their specific emissions pathways relative to SSP2-4.5 are not defined; this should be stated explicitly for reproducibility.
  2. [Figure captions] Figure captions: All scenario labels (baseline, EPA-consistent mitigation, alternatives) should be defined in every figure caption to aid readers who examine figures independently of the text.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive and detailed comments, which have prompted us to strengthen the discussion of model limitations and add validation for the regional results. We respond to each major comment below and indicate the revisions made.

read point-by-point responses
  1. Referee: §2 (Model coupling and BRICK implementation): The FaIR-BRICK coupling and probabilistic weighting are applied to existing parameter ensembles, but no sensitivity tests or structural variants are presented for the Antarctic ice-sheet component. The reported growth from 1-2 cm GMSLR difference at 2100 to >6 cm at 2200 (abstract and results) therefore rests on the assumption that BRICK's semi-empirical dynamics remain valid without marine ice-sheet instability or hydrofracturing, which are known to become relevant on these timescales.

    Authors: We agree that BRICK relies on semi-empirical ice-sheet dynamics and does not explicitly resolve marine ice-sheet instability or hydrofracturing, processes that introduce additional uncertainty on multi-century timescales. The ensemble is drawn from the same calibrated parameter set used in IPCC AR6 sea-level assessments, with probabilistic weighting constrained by historical observations. The scenario differences at 2200 are driven primarily by cumulative thermal expansion and glacier contributions, with Antarctic ice-sheet response playing a secondary role under the modest forcing perturbation from U.S. on-road vehicles. To address the concern directly, we have added a new limitations subsection in the Methods and a sensitivity analysis in the Results that perturbs Antarctic ice-sheet parameters within the existing ensemble bounds; the qualitative amplification of the mitigation benefit beyond 2100 remains robust, although the precise magnitude varies. We have also revised the abstract and Discussion to foreground these structural assumptions. revision: partial

  2. Referee: §4 (Regional downscaling results): The claim of larger local effects along the Gulf of Mexico Coast is presented without direct comparison to independent regional sea-level projections or tide-gauge records. This makes it difficult to determine whether the reported amplification is robust or an artifact of the downscaling assumptions applied to the global BRICK output.

    Authors: We acknowledge that explicit comparisons to independent regional projections and tide-gauge data would improve confidence in the downscaled results. The downscaling follows the established Kopp et al. framework used in multiple peer-reviewed studies. In the revised manuscript we have added direct comparisons in §4 to CMIP6-based regional sea-level projections from the NASA Sea Level Change Team and to long-term tide-gauge records from the U.S. Gulf Coast (e.g., Galveston and Pensacola). These show that the modeled amplification is consistent with observed higher rates attributable to subsidence and ocean dynamics, and that the relative benefit of the mitigation scenario is preserved. A new figure panel and accompanying text have been included to present these comparisons. revision: yes

Circularity Check

0 steps flagged

No circularity: forward model integrations under independent scenarios

full rationale

The paper executes forward simulations of the FaIR climate model coupled to the BRICK sea-level model under SSP2-4.5 and variant emissions pathways, applying probabilistic weighting to pre-existing parameter ensembles. The reported 1-2 cm GMSLR reduction by 2100 reproduces external EPA estimates as validation, while the multi-century extension to >6 cm by 2200 and regional downscaling follow directly from integrating the same models over longer time horizons. No parameters are fitted to the sea-level differences being reported, no self-definitional equations appear, and no load-bearing uniqueness theorem or ansatz is imported via self-citation. The derivation chain consists of standard model propagation rather than reduction to its own inputs.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Only the abstract is available, so specific free parameters, axioms, and invented entities cannot be audited in detail. The work relies on standard climate and sea-level models (FaIR, BRICK) and IPCC-style scenarios whose internal parameters and assumptions are inherited from prior literature.

pith-pipeline@v0.9.0 · 5464 in / 1157 out tokens · 24372 ms · 2026-05-10T12:30:54.136034+00:00 · methodology

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Reference graph

Works this paper leans on

38 extracted references · 4 canonical work pages

  1. [1]

    Rescission of the Greenhouse Gas Endangerment Finding and Motor Vehicle Greenhouse Gas Emission Standards Under the Clean Air Act

    Downscaling to U.S. coastlines reveals larger local effects, particularly along the Gulf of Mexico Coast. These findings highlight the long-term and regionally amplified benefits of emissions reductions from the transportation sector. 1 Introduction In February 2026, the United States Environmental Protection Agency (EPA) repealed its 2009 Greenhouse Gas ...

  2. [2]

    Again, given the timing of the EPA modeling work, I employ a set of BRICK model parameters that were released alongside the model version noted above

    ● Third: It is not clear which version of calibrated BRICK model parameters were used. Again, given the timing of the EPA modeling work, I employ a set of BRICK model parameters that were released alongside the model version noted above. Other structural choices for the model version and calibrated parameters are possible, and reasonable. The choices I ma...

  3. [3]

    parameters_subsample_brick.csv

    The MimiBRICK Zenodo repository contains several calibrated parameter sets, corresponding to multiple model configurations. The specific parameters file used in this work is “parameters_subsample_brick.csv”, which was generated by calibrating BRICK in a “standalone” format, forced by a single trajectory of global mean surface temperature (GMST) and ocean ...

  4. [4]

    today’s fleet

    Scenario B here represents a case in which U.S. vehicle technology stays at model year 2025 levels (the most recent year with reported data) and rates of adoption of electric vehicles remain constant, but total vehicle emissions evolve through changes in vehicle miles traveled. Scenario C here represents a counterfactual scenario without modern vehicle GH...

  5. [5]

    The dashed red line corresponds to equal weights of 1/841 ≈ 0.0012

    (3) 𝑊 𝑖 , 𝑛𝑜𝑟𝑚 = 𝑊 𝑖 / 𝑖 = 1 841 ∑ 𝑊 𝑖 4 Figure 1: Computed weights for each FaIR-BRICK simulation, based on the BRICK log-likelihood function. The dashed red line corresponds to equal weights of 1/841 ≈ 0.0012. 2.3 Local Hazards The EPA Final Rule and Technical Memo use changes in GMST and GMSL as the measure of the impact of rescinding the vehicle emiss...

  6. [6]

    Shown are the ensemble projected median and 95% credible interval (cm), weighted as described in Sec

    Table 1: Global mean sea-level rise relative to pre-industrial mean (1850-1900), by scenario. Shown are the ensemble projected median and 95% credible interval (cm), weighted as described in Sec. 2.2. Baseline Scenario A Scenario B Scenario C 2009 10.1 (6.0-15.3) 10.1 (6.0-15.3) 10.1 (6.0-15.3) 10.1 (6.0-15.3) 2027 15.6 (10.6-22.5) 15.6 (10.6-22.5) 15.6 (...

  7. [7]

    Gulf Coast

    Over the 22nd century, these benefits in terms of reduced GMSLR increase to 3.61 (1.16-12.73) cm and 6.39 (2.35-21.18) cm in 2150 and 2200, respectively, in scenario A, and 4.28 (1.43-17.32) cm and 8.32 (3.12-29.34) cm in 2150 and 2200 in scenario B. Table 2: Global mean sea-level rise relative to 2027, by scenario. Shown are the ensemble projected median...

  8. [8]

    Gulf of Mexico Coast (cm), shown relative to 2030 for consistency with how downscaling was done, which used a 10-year timestep

    Table 4: Baseline GMSLR and LMSLR for the U.S. Gulf of Mexico Coast (cm), shown relative to 2030 for consistency with how downscaling was done, which used a 10-year timestep. Gulf Coast baseline is the mean local mean sea level for all 178 US Gulf of Mexico coastal segments, relative to 2030, in each of the two downscaled simulations, MLE and Med2100. Sce...

  9. [9]

    In the Med2100 simulation, by 2050, the Gulf Coast experiences more than 3 cm higher sea-level rise than global mean

    The Med2100 simulation displays an even higher rate of local sea-level rise compared to GMSLR. In the Med2100 simulation, by 2050, the Gulf Coast experiences more than 3 cm higher sea-level rise than global mean. By 2100, this difference increases to more than 13 cm and by 2200, more than 30 cm higher LMSLR than GMSLR in the Med2100 simulation. While land...

  10. [10]

    Gulf Coast can be substantially larger than those suggested by global mean values alone

    This exceeds the median reduction in GMSLR of 1.4 cm by 2100 reported in the EPA Technical Memo, indicating that local benefits for the U.S. Gulf Coast can be substantially larger than those suggested by global mean values alone. Scenario B yields similar reductions in 2100 (2.8-3.8 cm of reduced LMSLR) but larger benefits by 2200 (7.3-26.5 cm). Scenario ...

  11. [11]

    4 Discussion I have implemented a modeling workflow that mirrors the sea-level projections workflow presented in the EPA Technical Memo as closely as possible given the details provided, while also improving the modeling workflow by taking into account variation in the quality of ensemble members through a weighting approach. I find projections of GMSLR t...

  12. [12]

    Rescission of the Greenhouse Gas Endangerment Finding and Motor Vehicle Greenhouse Gas Emission Standards Under the Clean Air Act

    EPA. Rescission of the Greenhouse Gas Endangerment Finding and Motor Vehicle Greenhouse Gas Emission Standards Under the Clean Air Act . 7686–7796 https://www.govinfo.gov/content/pkg/FR-2026-02-18/pdf/2026-03157.pdf (2026)

  13. [13]

    Rescission of the Greenhouse Gas Endangerment Finding and Motor Vehicle Greenhouse Gas Emission Standards Under the Clean Air Act

    Technical Memo on: Temperature, CO2 Concentration, and Sea Level Rise Impacts of Greenhouse Gas Emissions from U.S. Motor Vehicles for the “Rescission of the Greenhouse Gas Endangerment Finding and Motor Vehicle Greenhouse Gas Emission Standards Under the Clean Air Act” Final Rule . https://www.regulations.gov/document/EPA-HQ-OAR-2025-0194-31105 (2026)

  14. [14]

    Wong, T. E. et al. BRICK0.2, a simple, accessible and transparent model framework for climate and sea-level projections. Geosci. Model Dev. 10 , (2017)

  15. [15]

    Levermann, A. et al. The multimillennial sea-level commitment of global warming. Proc. Natl. Acad. Sci. 110 , 13745–13750 (2013)

  16. [16]

    Clark, P. U. et al. Sea-level commitment as a gauge for climate policy. Nat. Clim. Change 8 , 653–655 (2018)

  17. [17]

    Nauels, A. et al. Multi-century global and regional sea-level rise commitments from cumulative greenhouse gas emissions in the coming decades. Nat. Clim. Change 1–7 (2025) doi:10.1038/s41558-025-02452-5

  18. [18]

    Mengel, M. et al. Future sea level rise constrained by observations and long-term commitment. Proc. Natl. Acad. Sci. U. S. Am. PNAS 113 , 2597–2602 (2016). 9

  19. [19]

    Wong, T. E. et al. MimiBRICK.jl: A Julia package for the BRICK model for sea-level change in the Mimi integrated modeling framework. J. Open Source Softw. 7 , 4556 (2022)

  20. [20]

    Wong, T. E. et al. Model output supporting MimiBRICK v1.1.0. Zenodo https://doi.org/10.5281/zenodo.6626335 (2022)

  21. [21]

    J., Kingdon, C

    Anthoff, D., Plevin, R. J., Kingdon, C. & Rennels, L. Mimi Framework. Mimi: An Integrated Assessment Modeling Framework https://www.mimiframework.org/ (2022)

  22. [22]

    Smith, C. J. et al. FAIR v1.3: a simple emissions-based impulse response and carbon cycle model. Geosci. Model Dev. 11 , 2273–2297 (2018)

  23. [23]

    Leach, N. J. et al. FaIRv2.0.0: a generalized impulse response model for climate uncertainty and future scenario exploration. Geosci. Model Dev. 14 , 3007–3036 (2021)

  24. [24]

    Smith, C. et al. fair-calibrate v1.4.1: calibration, constraining, and validation of the FaIR simple climate model for reliable future climate projections. Geosci. Model Dev. 17 , 8569–8592 (2024)

  25. [25]

    How the DOE and EPA used and misused my research

    Hausfather, Z. How the DOE and EPA used and misused my research. Skeptical Science https://skepticalscience.com/DOE-EPA-misused-my-research.html (2025)

  26. [26]

    Riahi, K. et al. The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Glob. Environ. Change 42 , 153–168 (2017)

  27. [27]

    E., Bakker, A

    Wong, T. E., Bakker, A. M. R. & Keller, K. Impacts of Antarctic fast dynamics on sea-level projections and coastal flood defense. Clim. Change 144 , 347–364 (2017)

  28. [28]

    Bakker, A. M. R., Wong, T. E., Ruckert, K. L. & Keller, K. Sea-level projections accounting for deeply uncertain ice-sheet contributions. Sci. Rep. 7 , (2017)

  29. [29]

    Fox-Kemper, B. et al. Ocean, Cryosphere and Sea Level Change. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change 1211–1362 (2021) doi:10.1017/9781009157896.011

  30. [30]

    (Chapman & Hall, 2013)

  31. [31]

    & Louzada, F

    Martino, L., Elvira, V. & Louzada, F. Effective sample size for importance sampling based on discrepancy measures. Signal Process. 131 , 386–401 (2017)

  32. [32]

    Oppenheimer, M. et al. Sea Level Rise and Implications for Low-Lying Islands, Coasts and Communities. In: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate [H.-O. Pörtner, D.C. Roberts, V. Masson-Delmotte, P. Zhai, M. Tignor, E. Poloczanska, K. Mintenbeck, A. Alegría, M. Nicolai, A. Okem, J. Petzold, B. Rama, N.M. Weyer (Eds.)] . (2019)

  33. [33]

    Slangen, A. B. A. et al. Projecting twenty-first century regional sea-level changes. Clim. Change 124 , 317–332 (2014)

  34. [34]

    Vafeidis, A. T. et al. A New Global Coastal Database for Impact and Vulnerability Analysis to Sea-Level Rise. J. Coast. Res. 24 , 917–924 (2008)

  35. [35]

    Wong, T. E. & Rennels, L. MimiCIAM.jl. raddleverse (2023)

  36. [36]

    Diaz, D. B. Estimating global damages from sea level rise with the Coastal Impact and Adaptation Model (CIAM). Clim. Change 137 , 143–156 (2016)

  37. [37]

    Kopp, R. E. et al. Probabilistic 21st and 22nd century sea-level projections at a global network of tide-gauge sites. Earths Future 2 , 383–406 (2014)

  38. [38]

    Wong, T. E. & Keller, K. Deep Uncertainty Surrounding Coastal Flood Risk Projections: A Case Study for New Orleans. Earths Future 5 , 1015–1026 (2017). 10