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Climates of Gl 514 b

T0 review · 4 major / 4 minor · reviewed 2026-08-16 · deepseek-v4-flash

Pith's one-line read Climate simulations of the nearby super-Earth Gl 514 b find the surface is most likely either globally frozen or ice-free, with only about 1.27% of modeled cases showing polar ice caps or an ice belt.

desk verdict A serious, honest EBM parameter sweep whose headline numbers are softer than the abstract implies—worth refereeing, but the high-pCO2 regime and the probability framing need work. read the letter →

arxiv 2608.12457 v1 pith:VQSLXOBI submitted 2026-08-12 astro-ph.EP

classification astro-ph.EP
keywords exoplanetclimateenergybalancemodelhabitablezoneeccentricorbitcarbondioxideatmosphereicecoverageGl514bMdwarfplanets
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

This paper tries to establish what the climate of Gl 514 b, a nearby super-Earth on a highly eccentric orbit, is likely to be. Using a one-dimensional energy balance model, the authors explore the wide range of orbital, rotational, atmospheric, and surface properties permitted by current observations. They find the planet is most likely in one of two extreme states—a snowball or an ice-free world—and that a partial pressure of CO2 between about 7.25 and 9.5 bar would be needed to keep its surface temperate. The result matters because Gl 514 b is a prime target for future direct-imaging telescopes, and knowing whether its surface is partly ice-covered affects the photometric signal observers will see.

What carries the argument

The load-bearing tool is a one-dimensional seasonal energy balance model (the POISE module of VPLanet), which solves for latitudinal temperature and albedo along the seasonal cycle and includes dynamic ice sheets that depress the lithosphere. For this study the model was recalibrated against modern Earth's geography, global mean temperature, outgoing longwave radiation, and all four latitudinal ice lines, and it adopts the Williams & Kasting (1997) outgoing longwave radiation scheme, which makes the greenhouse effect of CO2 explicit. The model is fast enough to allow a sweep of over 130,000 parameter combinations, and the recalibration provides the bridge from Earth-calibrated physics to an exoplanet with many bars of CO2.

What would settle it

A future direct-imaging observation of Gl 514 b that measures a photometric phase curve or color signature consistent with partial ice coverage (polar caps or an ice belt) in a configuration the model labels snowball or ice-free would falsify the model's climate-state distribution. A simpler near-term check is a 3D general circulation model run at the same 8.375-bar, low-obliquity parameters: reproducing polar caps would support the EBM, while yielding an ice-free or globally glaciated surface would falsify it.

Watch

Extended reading notes

Core claim

The central claim is that Gl 514 b's surface is probably not partially ice-covered under most plausible configurations. In more than 130,000 simulations spanning eccentricities out to 0.9, obliquities from 0 to 90 degrees, CO2 partial pressures from 7 to 11 bar, land fractions, and land distributions, the planet ends in either a snowball state, an ice-free state, or (in about 1.27% of cases) a state with polar ice caps or an ice belt. A CO2 partial pressure in the range 7.25–9.5 bar permits a temperate, potentially habitable surface, with a specific configuration at 8.375 bar and low obliquity producing an Earth-like polar-cap climate. The authors stress that the 1.27% figure is not a true probability but the fraction in the parameter space they explored.

Load-bearing premise

The central assumption is that a one-dimensional energy balance model calibrated to modern Earth's ice lines, with the Williams-Kasting radiation scheme and its recalibrated heat capacities, correctly captures Gl 514 b's climate under high eccentricity and CO2 partial pressures of many bars.

Editorial extensions

If this is right

  • Direct-imaging surveys of Gl 514 b should most often see either a high-albedo, fully ice-covered disk or a low-albedo ocean world, rather than a mottled partial-ice pattern.
  • A habitable surface on Gl 514 b would require a massive CO2 atmosphere (7.25–9.5 bar), implying strong greenhouse forcing; such thick atmospheres are physically plausible around M dwarfs.
  • Improved measurements of the orbital eccentricity will sharpen climate predictions, because the model puts the planet into a snowball state for eccentricities below about 0.45 when other parameters are fixed.
  • Land distribution is not a critical factor for habitability, but land concentrated at the poles or equator can change ice coverage patterns and thus alter the photometric signature of the planet.
  • The dominance of snowball and ice-free outcomes suggests Gl 514 b may occupy a bistable climate regime, where future tidal evolution of the rotation rate or obliquity could flip the planet between the two states.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The 1.27% partial-ice fraction is likely an upper-bound estimate because the recalibrated model predicts more ice than Earth actually has (northern sea ice line at 47.7N versus the observed 72N); a model biased toward ice would undercount ice-free states, so the true partial-ice probability could be even lower.
  • The paper's 'most likely' wording is a statement about the explored parameter grid, not a Bayesian posterior; folding in plausible observational priors—such as a preference for low obliquity from tidal damping—could shift the balance between snowball and ice-free outcomes.
  • A 3D general circulation model run at the 8.375-bar, low-obliquity configuration that does produce polar caps would support the EBM result, while one that yields a fully ice-free or globally glaciated surface would indicate the EBM's heat-capacity treatment overestimates ice stability.
  • An ice belt, though rare at 0.22% of simulations, would produce a distinctive double-peaked photometric phase curve, giving direct-imaging light curves a clean way to distinguish the rare partial-ice states from the common ice-free and snowball states.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

4 major / 4 minor

Summary. The paper models the climate of the super-Earth Gl 514 b, a high-eccentricity (e = 0.45) habitable-zone planet around an M dwarf, using the one-dimensional energy balance model POISE within VPLanet. The authors recalibrate six free parameters (ice/water/land albedos, water/land heat capacities, and a diffusion coefficient) against modern Earth's global mean temperature, OLR, and four latitudinal ice lines, then run 133,316 simulations across five sets (A-E) that vary pCO2, eccentricity, obliquity, precession angle, land fraction, and land distribution. They report that the majority of simulations yield ice-free or snowball states, that about 1.27% of simulations produce polar ice caps or an ice belt, and that a pCO2 range of 7.25-9.5 bar permits surface habitability. The paper concludes that Gl 514 b could be a temperate, potentially habitable planet if it possesses a multi-bar CO2 atmosphere.

Significance. If the quantitative results hold, the paper provides useful guidance for direct-imaging follow-up of Gl 514 b and a systematic, low-cost climate classification of a high-eccentricity habitable-zone planet. The study's strengths include the use of the open-source VPLanet package, a large and clearly described parameter sweep, a transparent calibration procedure against Earth observables, and an explicit heat-capacity sensitivity test (Figure 11). The authors also honestly acknowledge several limitations, including the model's ice bias and the non-probabilistic nature of the reported fractions. However, the headline numbers (1.27% partial-ice fraction, 7.25-9.5 bar CO2 window) rest on the Williams & Kasting (1997) OLR scheme applied at CO2 pressures far above the validation shown in the paper, so the significance is contingent on that scheme's behavior in the 7-11 bar regime.

major comments (4)
  1. [Section 2.1 and Figure 2] The WK97 OLR scheme is used for simulations with pCO2 between 7 and 11 bar, but the only validation shown (Figure 2) is at 280 ppm and 5 bar. The model's temperature boundaries (-83.15 C to 86.85 C), which come from the WK97 polynomial fit, define the 'inferred snowball' and 'inferred runaway greenhouse' categories that dominate Table 5. Because the abstract's headline fractions and the CO2 habitability window are extracted from simulations that frequently hit these boundaries, the authors should demonstrate that WK97 is accurate at 7-11 bar (e.g., against line-by-line radiative transfer or a GCM) or, at minimum, show robustness of the main results to the choice among the WK97, Haqq-Misra, and Kadoya-Tajika OLR schemes.
  2. [Section 2.2 and Table 3] The calibration uses 'reasonable but arbitrary' uncertainties for the ice-line observables and reproduces the northern sea ice line at 47.7 N instead of the adopted 72 N. This poor fit indicates a systematic ice bias, which the authors acknowledge in Section 4. Since one of the paper's main products is the 1.27% partial-ice fraction, the authors should assess how this calibration bias affects that fraction, for example by rerunning the classification under alternative ice-line weights or by reporting how the fraction changes if the sea-ice constraint is relaxed.
  3. [Abstract and Section 4] The abstract's phrase 'most likely' overstates an unweighted parameter sweep. The paper explicitly states that the 1.27% fraction 'is not intended to represent the actual probability' (Section 4), and no priors are placed over pCO2, obliquity, eccentricity, or land fraction. The abstract should be reworded to reflect the sampled parameter space (e.g., 'in the sampled parameter space, the majority of simulations...') or the authors should provide a formal weighting based on observational constraints such as the eccentricity posterior from Damasso et al. (2022).
  4. [Sections 2.3 and 3] The paper never defines the quantitative criterion for 'habitable' or 'temperate' used to classify simulations and to derive the pCO2 range 7.25-9.5 bar. Please state the temperature threshold (or set of thresholds) used to designate a simulation as habitable, and clarify whether the reported range corresponds to global mean temperature, surface liquid-water conditions, or something else.
minor comments (4)
  1. [Table 3] The rows 'OLR Model NC79 WK97' and 'pCO2 [ppm] - 280' are confusing because NC79 does not use pCO2; clarify that the pCO2 column applies only to the WK97 calibration.
  2. [Section 3, Set A results] The text says that 230 out of 15,555 Set A simulations finished with polar ice caps (1.48%), while Table 5 gives a total polar-cap fraction of 1.05% across all sets; please state explicitly whether 'polar ice caps' in the Set A text includes single and bipolar caps and reconcile the numbers in the text or table.
  3. [Figure 4] The caption mentions inferred snowball and inferred runaway greenhouse states from out-of-bounds temperatures; adding the -83.15 C and 86.85 C boundaries to the figure itself would help readers interpret the classification.
  4. [Section 2.2] The statement that none of Forster et al. (2021), Walsh et al. (2017), de la Mare (2009), Edinburgh & Day (2016), or SCAR (2024) include uncertainties should be supported by citing the specific tables or sections checked, since at least some of these sources report ranges or spread measures.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the Gl 514 b climate predictions are forward outputs of an Earth-calibrated EBM, not reductions to fitted inputs or self-cited uniqueness claims.

full rationale

The paper's central claims—the 7.25–9.5 bar CO2 habitability window and the 1.27% partial-ice fraction—are forward predictions for Gl 514 b generated by the POISE EBM after recalibrating its free parameters against pre-industrial Earth observables (global mean temperature, OLR, and four ice-line latitudes). None of these calibration targets is a property of Gl 514 b, so the target predictions do not reduce by construction to any fitted quantity. The paper explicitly cautions that the 1.27% figure is only the fraction in the explored parameter space and not an actual probability, which preempts the main way such a statistic could be circular. The VPLanet/POISE lineage is self-cited, but the model is open-source, was previously tested in the FILLET intercomparison, and is recalibrated here against independent external Earth data, so the self-citation is not load-bearing. Selection of the Williams & Kasting (1997) OLR scheme and its use at 7–11 bar CO2 is an external parameterization, not an assumption imported from the present authors, and any concern about its validity in that regime is a model-extrapolation or correctness risk rather than circularity. No equation in the paper reduces to an input parameter, and no uniqueness claim from prior author work is invoked to forbid alternative model choices.

Assumptions & free parameters 6 free parameters · 5 assumptions · 0 invented entities

The central results rest on a six-parameter calibration to modern Earth and on the WK97 OLR model extrapolated to multi-bar CO2. The calibration is an external benchmark, so the circularity burden is low, but the transferability of Earth-calibrated parameters to an uncharacterized eccentric super-Earth is an unvalidated assumption. The '1.27% polar cap/belt fraction' is a property of the simulation distribution, not a probability estimate.

free parameters (6)
  • Ice albedo (a_ice) = 0.702
    Fitted by MaxLEV against pre-industrial Earth temperature, OLR, and ice line latitudes.
  • Water albedo (a_water) = 0.290
    Fitted by the same calibration to modern Earth.
  • Land albedo (a_land) = 0.528
    Fitted by the same calibration to modern Earth.
  • Heat capacity of water (C_W) = 8.67e8 J/m2/K
    Fitted; nearly three orders of magnitude larger than land heat capacity.
  • Heat capacity of land (C_L) = 2.71e6 J/m2/K
    Fitted; decreased by almost an order of magnitude relative to prior POISE calibration.
  • Diffusion coefficient (D) = 0.590
    Fitted; controls latitudinal heat transport.
assumptions (5)
  • domain assumption WK97 OLR parameterization remains valid for CO2 partial pressures up to ~11 bar and surface temperatures between -83.15 C and 86.85 C.
    The paper selects WK97 because it 'behaves realistically at higher pCO2 values' (Section 2.1), but provides no validation against 3D models or laboratory data in this regime. The pCO2 habitability window and climate-state classifications depend on this boundary.
  • domain assumption Model parameters calibrated to modern Earth are transferable to Gl 514 b despite differences in stellar spectrum, surface composition, and atmosphere.
    The paper argues Gl 514 is an early M dwarf so the ice albedo does not need modification (Section 2.2). This transferability is assumed, not tested.
  • domain assumption Gl 514 b is a rocky world with a surface and no other significant greenhouse gases varying.
    The radius and composition are unknown (no transit). The EBM requires a surface and only varies CO2; N2, O2, and H2O are fixed at Earth-like values.
  • domain assumption The 1D EBM captures the essential climate feedbacks for this planet.
    The paper notes 1D EBMs are 'best used to identify trends and categories' (Section 1) and are not ideal for predicting observables. The central 'most likely' claim rests on the model's ice-albedo feedback behavior.
  • domain assumption Orbital and rotational parameters are fixed over the 10 Myr simulations; tidal and precession evolution is negligible for the equilibrium climate.
    The paper suppresses stellar torque (Section 2.3) and later acknowledges tidal effects could change obliquity, rotation, and eccentricity (Section 4).

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Cite this review

Pith. "Pith review of Climates of Gl 514 b." pith.science (2026). https://pith.science/paper/VQSLXOBI

@misc{pith2026260812457,
  author       = {Pith},
  title        = {Pith review of: Climates of Gl 514 b},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/VQSLXOBI}},
  note         = {Machine review of arXiv:2608.12457}
}
abstract

The continuous discovery of exoplanets, each with distinctive stellar and planetary properties, along with the development of higher resolution ground and space telescopes has positioned climate evolution as a fundamental component of the study of habitability. In particular, the planet Gl 514 b, located within the habitable zone of an M0.5 dwarf star 7.62 pc from Earth, is a candidate for direct observations with future ground and space-based telescopes and therefore worthy of climate modeling. One notable aspect of this planet is its eccentricity of $e = 0.45^{+0.15}_{-0.14}$, which could affect the seasonal climate by inducing large swings in instellation over the course of an orbit. Hence, we simulate a plausible range of climates on this planet to assess the likelihood that its surface is habitable as well as estimate the surface ice coverage, which could affect the photometric signal. To perform these simulations, we use an energy balance model to explore the parameter space permitted by the observations and the allowed ranges of the obliquity, eccentricity, atmospheric CO$_2$, precession angle, land fraction, and land distribution. We find the planet is most likely to be in either a snowball or ice free state, but about 1.27% of our simulations contain polar ice caps or an ice belt. A partial pressure of CO$_2$ in the range of 7.25-9.5 bar permits the planet's surface to be habitable. These results constrain the orbital, rotational, and physical conditions required for surface habitability of Gl 514 b and will help guide future direct-imaging surveys of this and similar planets.

Figures

Figures reproduced from arXiv: 2608.12457 by the authors.

Figure 1
Figure 1. Eccentricity versus semi-major axis of Earth-sized and super-Earth exoplanets orbiting M type stars at distances of 10 pc or less. The size of the dot corresponds to the amount of insolation the planet receives (Earth’s insolation is shown for reference). Gray dots are exoplanets with unreported insolation due to multiple host stars. (From NASA Exoplanet Archive). Tajika 2014; Kadoya & Tajika 2015; Haqq-Misra et al.… view at source ↗
Figure 2
Figure 2. Different outgoing longwave radiation (OLR) models as a function of temperature. The dotted black line represents the radiation emitted by a blackbody. The solid lines represent the theoretical values for each OLR model while the dotted colored lines represent values outside of the surface temperature boundaries for each model. Left: The OLR for pCO2 = 280 ppm. Right: The OLR for pCO2 = 5 bar [PITH_FULL_IMAGE:figur… view at source ↗
Figure 3
Figure 3. An individual simulation from Set A showing the annual latitudinal climate of Gl 514 b (ε = 3.0 ◦ , ψ = 90◦ , and pCO2 = 8.375 bar). Top left: Insolation received by the planet. Top right: Surface temperature. Bottom left: Ice mass balance. A positive value represents ice accumulation while a negative value represents ice melting. Bottom right: Outgoing longwave radiation. eccentricity allowed was e = 0.45, which co… view at source ↗
Figures from the paper (8 more)
Figure 4
Figure 4. Figure 4: Final climate states for all the simulations in Set A as a function of precession angle, atmospheric CO2, and obliquity. Note that the simulations that were out of bounds are classified as inferred snowball and inferred runaway greenhouse when exceeding the OLR model b…
Figure 5
Figure 5. Figure 5: Set B latitudinal annual temperature variation of Gl 514 b after 10 Myr evolution for two different orbital con￾figurations. The nearly horizontal contours after ∼5 Myr indicate the model prediction has stabilized. Left panel: Surface temperature (in ◦C) for e = 0.45. …
Figure 6
Figure 6. Figure 6: Contour plots of Set C showing the annual mean global temperature of the planet for various e and ε configurations at different atmospheric CO2 levels in bar. Simulations whose temperatures fall outside the model bounds are classified as inferred snowballs (dark gray) …
Figure 7
Figure 7. Figure 7: Annual mean global surface temperature for different configurations of pCO2 and land fraction at 4 different ε values for Set D. Simulations where the temperature exceeded the boundaries of the WK97 model are shown in dark gray. Set D demonstrated how an increase in la…
Figure 8
Figure 8. Figure 8: Annual mean global surface temperature for different configurations of land fraction and obliquity at 4 different pCO2 values for Set D. Simulations where the surface temperature exceeds the WK97 boundaries are shown in dark gray. magnitude (see [PITH_FULL_IMAGE:figur…
Figure 9
Figure 9. Figure 9: Set E comparison of final ice coverage of a 28.4% land fraction for equatorial (top left), polar (top right), random (bottom left), and modern (bottom right) land distributions as a function of eccentricity vs. obliquity at pCO2 = 8.375 bar and ψ = 90◦ . Our simulation…
Figure 10
Figure 10. Figure 10: Histogram of the various possible climate states for each Set. Note the scale is logarithmic due to the large difference between the lowest and highest values [PITH_FULL_IMAGE:figures/full_fig_p016_10.png]
Figure 11
Figure 11. Figure 11: Mean global surface temperature for various heat capacity of land (CL) and heat capacity of water (CW ) configu￾rations. The X marks the calibrated parameters used in this work. essarily sterile. Life can still exist in subsurface water reservoirs (Lechte et al. 2019)…

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Works this paper leans on

59 extracted references · 27 canonical work pages

  1. [1]

    Abbot, D. S. 2016, ApJ, 827, 117, doi: 10.3847/0004-637X/827/2/117

  2. [2]

    2014, Astrobiology, 14, 277

    Armstrong, J., Barnes, R., Domagal-Goldman, S., et al. 2014, Astrobiology, 14, 277

  3. [3]

    J., Montazeri, F., Poro, A., & Sarabi, S

    Bahraminasr, M., Jafarzadeh, S. J., Montazeri, F., Poro, A., & Sarabi, S. 2020, Open Astronomy, 29, 231, doi: 10.1515/astro-2020-0021

  4. [4]

    2017, Celestial Mechanics and Dynamical Astronomy, 129, 509, doi: 10.1007/s10569-017-9783-7

    Barnes, R. 2017, Celestial Mechanics and Dynamical Astronomy, 129, 509, doi: 10.1007/s10569-017-9783-7

  5. [5]

    N., Jackson, B., & Greenberg, R

    Barnes, R., Raymond, S. N., Jackson, B., & Greenberg, R. 2008, Astrobiology, 8, 557, doi: 10.1089/ast.2007.0204

  6. [6]

    2020, Publications of the Astronomical Society of the Pacific, 132, 024502, doi: 10.1088/1538-3873/ab3ce8

    Barnes, R., Luger, R., Deitrick, R., et al. 2020, Publications of the Astronomical Society of the Pacific, 132, 024502, doi: 10.1088/1538-3873/ab3ce8

  7. [7]

    2024, MNRAS, 530, 4300, doi: 10.1093/mnras/stae1124

    Biasiotti, L., Simonetti, P., Vladilo, G., et al. 2024, MNRAS, 530, 4300, doi: 10.1093/mnras/stae1124

  8. [8]

    2001, Icarus, 152, 205

    Chambers, J. 2001, Icarus, 152, 205

Show all 59 references
  1. [9]

    M., Del Genio, A

    Colose, C. M., Del Genio, A. D., & Way, M. J. 2019, ApJ, 884, 138, doi: 10.3847/1538-4357/ab4131

  2. [10]

    Correia, A. C. M., Levrard, B., & Laskar, J. 2008, A&A, 488, L63, doi: 10.1051/0004-6361:200810388

  3. [11]

    2013, A&A, 551, A99, doi: 10.1051/0004-6361/201220914

    Crossfield, I. 2013, A&A, 551, A99, doi: 10.1051/0004-6361/201220914

  4. [12]

    2022, Research Notes of the American Astronomical Society, 6, 184, doi: 10.3847/2515-5172/ac905e

    Damasso, M., & Nardiello, D. 2022, Research Notes of the American Astronomical Society, 6, 184, doi: 10.3847/2515-5172/ac905e

  5. [13]

    M., et al

    Damasso, M., Perger, M., Almenara, J. M., et al. 2022, A&A, 666, A187, doi: 10.1051/0004-6361/202243522 de la Mare, W. K. 2009, Climatic Change, 92, 461, doi: 10.1007/s10584-008-9473-2

  6. [14]

    R., et al

    Deitrick, R., Barnes, R., Quinn, T. R., et al. 2018a, The Astronomical Journal, 155, 60, doi: 10.3847/1538-3881/aaa301

  7. [15]

    2023, The Planetary Science Journal, 4, 39, doi: 10.3847/PSJ/acba05

    Deitrick, R., Haqq-Misra, J., Kadoya, S., et al. 2023, The Planetary Science Journal, 4, 39, doi: 10.3847/PSJ/acba05

  8. [16]

    2018b, The Astronomical Journal, 155, 266, doi: 10.3847/1538-3881/aac214

    Deitrick, R., Barnes, R., Bitz, C., et al. 2018b, The Astronomical Journal, 155, 266, doi: 10.3847/1538-3881/aac214

  9. [17]

    1993, Icarus, 103, 67

    Dones, L., & Tremaine, S. 1993, Icarus, 103, 67

  10. [18]

    Raymond, S. N. 2010, The Astrophysical Journal, 721, 1295

  11. [19]

    Edinburgh, T., & Day, J. J. 2016, The Cryosphere, 10, 2721, doi: 10.5194/tc-10-2721-2016

  12. [20]

    2008, Celestial Mechanics and Dynamical Astronomy, 101, 171, doi: 10.1007/s10569-008-9133-x

    Ferraz-Mello, S., Rodr´ ıguez, A., & Hussmann, H. 2008, Celestial Mechanics and Dynamical Astronomy, 101, 171, doi: 10.1007/s10569-008-9133-x

  13. [21]

    2016, Monthly Notices of the Royal Astronomical Society, 463, 2768, doi: 10.1093/mnras/stw2098

    Forgan, D. 2016, Monthly Notices of the Royal Astronomical Society, 463, 2768, doi: 10.1093/mnras/stw2098

  14. [22]

    2021, in Climate Change 2021: The Physical Science Basis, ed

    Forster, P., Storelvmo, T., Armour, K., et al. 2021, in Climate Change 2021: The Physical Science Basis, ed. V. Masson-Delmotte, P. Zhai, A. Pirani, S. L. Connors, C. P´ ean, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I

  15. [23]

    Matthews, T. K. Maycock, T. Waterfield, O. Yelek¸ ci, R. Yu, & B. Zhou (Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press), 923–1054, doi: 10.1017/9781009157896.009

  16. [24]

    Haqq-Misra, J., & Hayworth, B. P. C. 2022, The Planetary Science Journal, 3, 32, doi: 10.3847/PSJ/ac49eb

  17. [25]

    E., & Kasting, J

    Harman, C. E., & Kasting, J. F. 2016, ApJ, 827, 120, doi: 10.3847/0004-637X/827/2/120 18Delgado Diaz et al

  18. [26]

    2017, Bulletin of the American Meteorological Society, 98, 1841, doi: 10.1175/BAMS-D-16-0007.1

    Hawkins, E., Ortega, P., Suckling, E., et al. 2017, Bulletin of the American Meteorological Society, 98, 1841, doi: 10.1175/BAMS-D-16-0007.1

  19. [27]

    J., et al

    He, F., Kang, W., Way, M. J., et al. 2022, The Astrophysical Journal, 933, 62, doi: 10.3847/1538-4357/ac6951

  20. [28]

    2008, Paleoceanography, 23, doi: https://doi.org/10.1029/2007PA001463

    Huybers, P., & Tziperman, E. 2008, Paleoceanography, 23, doi: https://doi.org/10.1029/2007PA001463

  21. [29]

    2014, ApJ, 790, 107, doi: 10.1088/0004-637X/790/2/107

    Kadoya, S., & Tajika, E. 2014, ApJ, 790, 107, doi: 10.1088/0004-637X/790/2/107

  22. [30]

    2015, ApJL, 815, L7, doi: 10.1088/2041-8205/815/1/L7 —

    Kadoya, S., & Tajika, E. 2015, ApJL, 815, L7, doi: 10.1088/2041-8205/815/1/L7 —. 2019, The Astrophysical Journal, 875, 7, doi: 10.3847/1538-4357/ab0aef

  23. [31]

    2021, The Messenger, 182, 38, doi: 10.18727/0722-6691/5221

    Kasper, M., Cerpa Urra, N., Pathak, P., et al. 2021, The Messenger, 182, 38, doi: 10.18727/0722-6691/5221

  24. [32]

    F., Whitmire, D

    Kasting, J. F., Whitmire, D. P., & Reynolds, R. T. 1993, Icarus, 101, 108, doi: https://doi.org/10.1006/icar.1993.1010

  25. [33]

    C., & Stocker, T

    Kilic, C., Lunkeit, F., Raible, C. C., & Stocker, T. F. 2018, ApJ, 864, 106, doi: 10.3847/1538-4357/aad5eb

  26. [34]

    C., & Stocker, T

    Kilic, C., Raible, C. C., & Stocker, T. F. 2017, ApJ, 844, 147, doi: 10.3847/1538-4357/aa7a03

  27. [35]

    1975, SAO Special Report, 364

    Kinoshita, H. 1975, SAO Special Report, 364

  28. [36]

    1977, Celestial mechanics, 15, 277, doi: 10.1007/BF01228425

    Kinoshita, H. 1977, Celestial mechanics, 15, 277, doi: 10.1007/BF01228425

  29. [37]

    2023, ApJL, 951, L39, doi: 10.3847/2041-8213/acdc26

    Krissansen-Totton, J. 2023, ApJL, 951, L39, doi: 10.3847/2041-8213/acdc26

  30. [38]

    1993, Nature, 361, 615

    Laskar, J., Joutel, F., & Robutel, P. 1993, Nature, 361, 615

  31. [39]

    A., Wallace, M

    Lechte, M. A., Wallace, M. W., van Smeerdijk Hood, A., et al. 2019, Proceedings of the National Academy of Sciences, 116, 25478, doi: 10.1073/pnas.1909165116

  32. [40]

    2022, MNRAS, 513, 2761, doi: 10.1093/mnras/stac1040

    Macdonald, E., Paradise, A., Menou, K., & Lee, C. 2022, MNRAS, 513, 2761, doi: 10.1093/mnras/stac1040

  33. [41]

    2010, Monthly Notices of the Royal Astronomical Society, 406, 1935, doi: 10.1111/j.1365-2966.2010.16804.x Milankovi´ c, M

    Miguel, Y., & Brunini, A. 2010, Monthly Notices of the Royal Astronomical Society, 406, 1935, doi: 10.1111/j.1365-2966.2010.16804.x Milankovi´ c, M. 1941, Kanon der Erdbestrahlung und seine Anwendung auf das Eiszeitenproblem: K¨ oniglich Serbische Akademie (K¨ onigl. Serbische...

  34. [42]

    R., & Coakley, J

    North, G. R., & Coakley, J. A. 1979, Journal of Atmospheric Sciences, 36, 1189 , doi: https://doi.org/10.1175/1520-0469(1979)036⟨1189: DBSAMA⟩2.0.CO;2

  35. [43]

    Z., Shields, A

    Palubski, I. Z., Shields, A. L., & Deitrick, R. 2020, The Astrophysical Journal, 890, 30 Rodr´ ıguez, A., Callegari Jr, N., Michtchenko, T. A., &

  36. [44]

    2012, Monthly Notices of the Royal Astronomical Society, 427, 2239, doi: https://doi.org/10.1111/j.1365-2966.2012.22084.x

    Hussmann, H. 2012, Monthly Notices of the Royal Astronomical Society, 427, 2239, doi: https://doi.org/10.1111/j.1365-2966.2012.22084.x

  37. [45]

    Rose, B. E. J., Cronin, T. W., & Bitz, C. M. 2017, ApJ, 846, 28, doi: 10.3847/1538-4357/aa8306

  38. [46]

    J., Johnson, M., Mills, B

    Rushby, A. J., Johnson, M., Mills, B. J. W., Watson, A. J., & Claire, M. W. 2017, in LPI Contributions, Vol. 2042, Habitable Worlds 2017: A System Science Workshop, ed. LPI Editorial Board, 4026

  39. [47]

    J., Shields, A., & Joshi, M

    Rushby, A. J., Shields, A., & Joshi, M. 2019, The Astrophysical Journal, 887, 29, doi: 10.3847/1538-4357/ab4da6 SCAR. 2024, Antarctic Digital Database, Version 7.10, https://data.bas.ac.uk/

  40. [48]

    L., Meadows, V

    Shields, A. L., Meadows, V. S., Bitz, C. M., et al. 2013, Astrobiology, 13, 715, doi: 10.1089/ast.2012.0961

  41. [49]

    S., Menou, K., & Scharf, C

    Spiegel, D. S., Menou, K., & Scharf, C. A. 2009, The Astrophysical Journal, 691, 596, doi: 10.1088/0004-637X/691/1/596

  42. [50]

    S., Raymond, S

    Spiegel, D. S., Raymond, S. N., Dressing, C. D., Scharf, C. A., & Mitchell, J. L. 2010, The Astrophysical Journal, 721, 1308

  43. [51]

    1997, Journal of Global Optimization, 11, 341, doi: 10.1023/A:1008202821328

    Storn, R., & Price, K. 1997, Journal of Global Optimization, 11, 341, doi: 10.1023/A:1008202821328

  44. [52]

    S., Aleinov, I., et al

    Tsigaridis, K., Ackerman, A. S., Aleinov, I., et al. 2025, Geoscientific Model Development, 18, 5825, doi: 10.5194/gmd-18-5825-2025

  45. [53]

    2024, HPIC: The Habitable Worlds Observatory Preliminary Input Catalog

    Tuchow, N., Stark, C., & Mamajek, E. 2024, HPIC: The Habitable Worlds Observatory Preliminary Input Catalog. https://arxiv.org/abs/2402.08038

  46. [54]

    2013, The Astrophysical Journal, 767, 65, doi: 10.1088/0004-637X/767/1/65 von Paris, P., Grenfell, J

    Vladilo, G., Murante, G., Silva, L., et al. 2013, The Astrophysical Journal, 767, 65, doi: 10.1088/0004-637X/767/1/65 von Paris, P., Grenfell, J. L., Hedelt, P., et al. 2013, A&A, 549, A94, doi: 10.1051/0004-6361/201219684

  47. [55]

    Walker, J. C. G., Hays, P. B., & Kasting, J. F. 1981, J. Geophys. Res., 86, 9776, doi: 10.1029/JC086iC10p09776

  48. [56]

    E., Fetterer, F., Stewart, J

    Walsh, J. E., Fetterer, F., Stewart, J. S., & Chapman, W. L. 2017, Geographical Review, 107, 89, doi: 10.1111/j.1931-0846.2016.12195.x

  49. [57]

    2022, The Planetary Science Journal, 3, 13, doi: 10.3847/PSJ/ac3b61

    Wilhelm, C., Barnes, R., Deitrick, R., & Mellman, R. 2022, The Planetary Science Journal, 3, 13, doi: 10.3847/PSJ/ac3b61

  50. [58]

    M., & Kasting, J

    Williams, D. M., & Kasting, J. F. 1997, Icarus, 129, 254

  51. [59]

    M., & Pollard, D

    Williams, D. M., & Pollard, D. 2003, International Journal of Astrobiology, 2, 1, doi: 10.1017/S1473550403001356

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