the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
How temperature seasonality drives interglacial permafrost dynamics: Implications for paleo reconstructions and future thaw trajectories
Abstract. Various proxy records have suggested widespread permafrost degradation in northern high latitudes during interglacial warm climates, including the mid Holocene (MH, 6000 years before present) and the last interglacial (LIG, 127 ka BP), and linked this to substantially warmer high-latitude climates compared to the pre-industrial period (PI). However, most Earth system models suggest only modest warming or even slight cooling in terms of annual mean surface temperatures during these interglacials, seemingly contradicting the reconstructions of widespread permafrost degradation. Here, we combine paleo climate simulations of the Alfred Wegener Institute's Earth system model version 2.5 (AWI-ESM-2.5) with the CryoGridLite permafrost model to investigate the ground thermal regime and freeze-thaw dynamics in northern high-latitude land areas during the MH and the LIG in comparison to the PI. Specifically, we decompose how the annual mean and seasonal amplitude (that is, the difference between the maximum and minimum monthly mean) of surface temperatures affect the occurrence of permafrost, seasonal frost, thaw depths and durations, and thermal contraction cracking activity. Our simulations reveal that (i) local permafrost probabilities and global permafrost extent are predominantly determined by mean surface temperatures, (ii) maximum thaw depths are increasing with both annual mean and seasonal amplitudes, and (iii) thermal contraction cracking within the permafrost domain is almost solely driven by the seasonal amplitude of surface temperatures. Thus, not only mean warming, but also the enhanced seasonal temperature amplitude due to a different orbital forcing have driven permafrost and ground ice dynamics during past interglacial climates. Our results provide an additional explanation of reconstructed periods of marked permafrost degradation in the past, which was driven by deep surficial thaw during summer, while colder winters allowed for permafrost persistence in greater depths. Our results further suggest that past interglacial climates have limited suitability as analogues for future permafrost thaw trajectories, as rising mean temperatures paralleled by decreasing seasonal amplitudes expose the northern permafrost region to magnitudes of thaw that are likely unprecedented since at least Marine Isotope Stage 11c (about 400 ka BP).
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RC1: 'Comment on egusphere-2024-4011', Anonymous Referee #1, 11 Mar 2025
This study highlights the importance of seasonality in permafrost dynamics. I think that this is a good paper, including clear logic and professional writing. The results will be important for permafrost research. My comments are the following.
L12, some readers may be interested in how annual mean and seasonal amplitudes changes, here.
L104, what is the deepest soil column of simulation for CryoGridLite permafrost model?
L37, “Brierley et al. (2020); Otto-Bliesner et al. (2021)” should be (Brierley et al., 2020; Otto-Bliesner et al., 2021).
L170, the authors say that speleothem growth suggests absence of permafrost here, but in L180 the authors say that locations with speleothem growth is agreement with the model if permafrost probability <90%. The former and the latter appear to be contradictory.
Figure 4, remove a “on the”, it is repeated.
Figure 5, I suggest to add the significance of these correlations.
Lines 240-245, the phenomenon is clear, i.e., mean temperature control the permafrost area rather than seasonal temperature amplitude. However, what are the physical explanations?
L320 and L324, what is the difference between “a mean global surface warming above recent conditions” and “MH-PI global temperature anomaly”?
L467-471, here, I suggest to state that whilst the most recent interglacial climates providing less analogues for the future with respective to permafrost dynamics, this do not exclude that the past older warming period may be appropriate. For instance, the most simulation study (https://doi.org/10.1073/pnas.2301954120) on the mid- Pliocene warm period (mPWP, ~3.264 to 3.025 Ma) permafrost. During the mPWP, the temperature increase significantly in both winter and summer. The period also evolves regional differences in warming, in particular in the high latitudes. These are similar to the future warming. So, mPWP permafrost remains one of the analogs for the future permafrost dynamics, and likely the results (highly restricted extent) has implications for the future.
Citation: https://doi.org/10.5194/egusphere-2024-4011-RC1 -
RC2: 'Comment on egusphere-2024-4011', Anonymous Referee #2, 25 Apr 2025
Summary
This study explores how both seasonal and annual mean temperature variations influence permafrost dynamics during past interglacial periods, specifically the Mid Holocene (MH) and Last Interglacial (LIG). The authors employ simulations from the AWI-ESM-2.5 Earth System Model in conjunction with the CryoGridLite permafrost model to analyze ground thermal characteristics such as permafrost extent, thaw depth, and thermal contraction cracking. The key finding is that permafrost extent is primarily controlled by annual mean temperatures, whereas thaw depth and thermal contraction cracking are predominantly influenced by the amplitude of seasonal temperature variations. Importantly, the study concludes that past interglacial climates are not suitable analogues for projecting future permafrost thaw, as modern climate change trends involve rising mean temperatures coupled with decreasing seasonality, a pattern not observed in the past.
Major Comments:1. Missing Literature on Borehole Temperature Reconstructions: The manuscript omits an important body of work related to reconstructing past climate from borehole temperature data. Borehole climatology offers critical insights into ground surface temperature (GST) changes over the past centuries and millennia. For instance:
- Liu et al. (2021) applied Tikhonov regularization to infer ~1.8°C of ground warming over the past ~308 years, aligning with instrumental records.
- Mareschal & Beltrami (1992) and Beltrami & Mareschal (1991) pioneered SVD-based inversions of borehole data, identifying historical warming in regions like eastern Canada.
- Shen & Beck (1991) used least-squares inversion with regularization for stable GST reconstructions.
- Pollack & Huang (2000) presented a global borehole climatology, documenting multi-century surface warming. These studies offer a complementary line of evidence that should be discussed to provide a more complete context for past permafrost dynamics.
2. Clarification of Paleo Proxy Records: A paragraph introducing and defining speleothem and pollen records is needed for readers unfamiliar with these proxies. While valuable, these records are spatially limited and prone to interpretive uncertainty, which affects their robustness in validating model outputs.
3. Model Bias and Alternatives: The AWI-ESM-2.5 model has a documented cold bias in high-latitude regions, which likely leads to an overestimation of permafrost extent. The authors should discuss whether other Earth System Models (e.g., CESM, MPI-ESM) have been considered for comparison, especially those with better temperature performance at high latitudes.
Minor Comments:
P2, Line 50: The introduction notes that few models address permafrost conditions in past climates. The conclusion should explicitly state how this study advances that field and relates to previous work.
Figure 3d: Why is there no simulated permafrost in the southwestern part of Russia? A similar issue arises in Quebec, Canada—please clarify.
Figure 4: A consistent colorbar across all panels would improve clarity. What does the current colorbar represent?
Figures: Expand abbreviations like PI (Pre-Industrial), LIG (Last Interglacial), etc. Also, labels like "ΔTa" need more descriptive titles.
P3, Line 60: Clarify why focusing on both the current and last interglacial periods is important, particularly in relation to temperature amplitude.
Cracking Quantification: Explain in more detail how thermal contraction cracking is quantified in the model.
P3, Line 80: Are glacier masks, topography, and related inputs dynamic in the model, or are they static? How might this affect the results?
P5, Line 108: If dynamic hydrology were included in CryoGridLite, how might this change the study’s findings?
P6, Line 132: The text mentions subsidence. Was uniform subsidence assumed across the region, or was spatial variability considered?
P8, Line 192: I suggest that important locations discussed in the results, such as the Nahanni Plateau, be marked directly on the maps for clarity.
Figure 7: Needs a more detailed and explanatory caption.
Comparison Figures (multiple subplots): Consider presenting differences between simulations for a clearer quantitative comparison. Matching areas could be quantified in percentage terms.
Conclusions: The conclusion should be restructured to directly reflect and address the key objectives and issues raised in the introduction, creating a more cohesive narrative.
References:- Liu et al. (2021). Application of Tikhonov regularization to reconstruct past climate record from borehole temperature. Inverse Problems in Science and Engineering, 29(13), 3167–3189. https://doi.org/10.1080/17415977.2021.1975700
- Mareschal, J.-C., & Beltrami, H. (1992). Evidence for recent warming from perturbed geothermal gradients: examples from eastern Canada. Climate Dynamics, 6, 135–143.
- Beltrami, H., & Mareschal, J.-C. (1991). Recent warming in eastern Canada inferred from geothermal measurements. Geophysical Research Letters, 18, 605–608.
- Shen, P.Y., & Beck, A.E. (1991). Least squares inversion of borehole temperature measurements in functional space. Journal of Geophysical Research: Solid Earth, 96(B12), 19965–19979.
- Pollack, H.N., & Huang, S. (2000). Climate reconstruction from subsurface temperatures. Annual Review of Earth and Planetary Sciences, 28(1), 339–365.
- Bodri, L., & Čermák, V. (2011). Borehole climatology: A new method how to reconstruct climate. Amsterdam: Elsevier.
Citation: https://doi.org/10.5194/egusphere-2024-4011-RC2
Data sets
Interglacial permafrost dynamics: CryoGridLite.jl climate forcing data based on AWI-ESM-2 climate model output Jan Nitzbon https://doi.org/10.5281/zenodo.14244199
Compilation of speleothem growth records and hiatuses in the northern hemisphere (north of 20°N) for the mid Holocene (6 ka BP) and the last interglacial (127 ka BP) Luca Alexander Müller-Ißberner et al. https://doi.org/10.5281/zenodo.14512888
Model code and software
Interglacial permafrost dynamics: CryoGridLite.jl model diagnostics, plotting and analysis scripts Jan Nitzbon https://doi.org/10.5281/zenodo.14243857
Interglacial permafrost dynamics: CryoGridLite.jl model source code and parameter input file Jan Nitzbon and Moritz Langer https://doi.org/10.5281/zenodo.14243849
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