the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Snow thermal conductivity controls future winter carbon emissions in shrub-tundra
Abstract. The Arctic winter is disproportionately vulnerable to climate warming and approximately 1700 Gt of carbon stored in high latitude permafrost ecosystems is at risk of degradation in the future due to enhanced microbial activity. Few studies have been directed at high-latitude cold season land-atmosphere processes and it is suggested that the contribution of winter season greenhouse gas (GHG) fluxes to the annual carbon budget may have been underestimated. Snow, acting as a thermal blanket, influences Arctic soil temperatures during winter and parameters such as snow effective thermal conductivity (Keff) are not well constrained in land surface models which impacts our ability to accurately simulate wintertime soil carbon emissions. A point-model version of the Community Land Model (CLM5.0) forced by an ensemble of NA-CORDEX (North American Coordinated Regional Downscaling Experiment) future climate realisations (RCP 4.5 and 8.5) indicates that median winter CO2 emissions will have more than tripled by the end of the century (2066–2096) under RCP 8.5 and using a Keff parameterisation which is more representative of Arctic snowpack. Implementing this Keff parameterisation increases simulated winter CO2 in the latter half of the century (2066–2096) by 130 % and CH4 flux by 50 % under RCP 8.5 compared to the widely used default Keff parameterisation. The influence of snow Keff parameterisation within CLM5.0 on future simulated CO2 and CH4 is at least as significant, if not more so, than climate variability from a range of NA-CORDEX projections to 2100. Furthermore, CLM5.0 simulations show that enhanced future air and soil temperatures increases the duration of the early winter (Sept–Oct) zero-curtain, a crucial period of soil carbon emissions, by up to a month and recent increases in both zero-curtain and winter CO2 emissions appear set to continue to 2100. Modelled winter soil temperatures and carbon emissions demonstrate the importance of climate mitigation in preventing a significant increase in winter carbon emissions from the Arctic in the future.
- Preprint
(1844 KB) - Metadata XML
- BibTeX
- EndNote
Status: final response (author comments only)
-
CC1: 'Comment on egusphere-2024-2445', Jeff Welker, 20 Aug 2024
This is a very important paper and set of discoveries.
However, it is missing recognition of the massive set of studies that discovered and addressed these issues going back to the original US ITEX program at Toolik AK and the NSF ATLAS (Arctic Transition in the Land Atmosphere System) that should be included.
Those being:
Jones, M. H., Fahnestock, J. T., Walker, D. A., Walker, M. D., and Welker, J. M. (1998) Carbon dioxide fluxes in moist and dry arctic tundra during the snow-free season: responses to increases in summer temperature and winter snow accumulation. Arctic and Alpine Research 30: 373-380.
Fahnestock, J. T., Jones, M. H., Brooks, P. D., Walker, D. A., and Welker, J. M. (1998) Winter and early spring CO2 flux from tundra communities of northern Alaska. Journal of Geophysical Research 102 (D22): 29925-29931.
Fahnestock, J. T., Jones, M. H., Brooks, P. D., and Welker, J. M. (1999) Significant CO2 emissions from tundra soils during winter: Implications for annual carbon budgets of arctic communities. Global Biogeochemical Cycles 13: 775-779.
Welker, J. M., Fahnestock, J. T., and Jones, M. H. (2000) Annual CO2 flux from dry and moist arctic tundra: Field responses to increases in summer temperature and winter snow depth. Climatic Change 44: 139-150.
Schimel, J. S., Bilbrough, C. B., and Welker, J. M. (2004) Increased snow depth affects microbial activity and nitrogen mineralization in two Arctic tundra communities. Soil Biology and Biochemistry 36: 217-227.
Schimel, J., Fahnestock, J., Michaelson, G., Milkan, C., Ping, C, Romanovsky, V., and Welker, J. M. (2006) Cold-season production of CO2 in Arctic soils: Can laboratory and field estimates be reconciled through a simple modeling approach? Arctic, Antarctic and Alpine Research 38(2): 249-255
Sullivan, P. F., Arens, S., Sveinbjörnsson, B., and Welker, J. M. (2010) Modeling the seasonality of belowground respiration along an elevation gradient in the western Chugach Mountains, Alaska. Biogeochemistry 101(1-3): 61-75.
Lupascu, M., Czimczik, C. I., Welker, M., Cooper, L., and Welker, J. M. (2018) Winter ecosystem respiration and sources of CO2 from the High Arctic tundra of Svalbard: Response to a deeper snow experiment. JGR Biogeosciences DOI.org/10.1029/ 2018JG004396.
Pedron, S., Xu, X., Walker, J., Welker, J. M., Klein, E. and Czimczik, C. (2021) Time-integrated Collection of CO2 for 14C Analysis from Soils. Radiocarbon DOI: 10.101/RDC.2021.42.
Pedron, S. A., Welker, J. M., Euskirchen, E., Klein, E. S., Walker, J. C., Xu, X., and Czimczik, C. I. (2022) Closing the winter gap-Year-round measurements of soil CO2 emission sources in Arctic Tundra. Geophysical Research Letters doi.org/10.1029/2021GL097347.
Citation: https://doi.org/10.5194/egusphere-2024-2445-CC1 -
AC1: 'Reply on CC1', Johnny Rutherford, 12 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2445/egusphere-2024-2445-AC1-supplement.pdf
-
AC1: 'Reply on CC1', Johnny Rutherford, 12 Jun 2025
-
RC1: 'Comment on egusphere-2024-2445', Katharina Jentzsch, 20 Apr 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2445/egusphere-2024-2445-RC1-supplement.pdf
-
AC2: 'Reply on RC1', Johnny Rutherford, 12 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2445/egusphere-2024-2445-AC2-supplement.pdf
-
AC4: 'References', Johnny Rutherford, 12 Jun 2025
Callaghan, T. V., Johansson, M., Brown, R. D., Groisman, P. Y., Labba, N., Radionov, V., Bradley, R. S., Blangy, S., Bulygina, O. N., Christensen, T. R., Colman, J. E., Essery, R. L. H., Forbes, B. C., Forchhammer, M. C., Golubev, V. N., Honrath, R. E., Juday, G. P., Meshcherskaya, A. V., Phoenix, G. K., Pomeroy, J., Rautio, A., Robinson, D. A., Schmidt, N. M., Serreze, M. C., Shevchenko, V. P., Shiklomanov, A. I., Shmakin, A. B., Sköld, P., Sturm, M., Woo, M.-K. & Wood, E. F. 2011. Multiple Effects of Changes in Arctic Snow Cover. AMBIO, 40, 32-45.
Jordan, R. E. 1991. A One-Dimensional Temperature Model for a Snow Cover: Technical Documentation for Sntherm. 89.
Sturm, M., Holmgren, J., König, M. & Morris, K. 1997. The Thermal Conductivity of Seasonal Snow. Journal of Glaciology, 43, 26-41.
Citation: https://doi.org/10.5194/egusphere-2024-2445-AC4
-
AC2: 'Reply on RC1', Johnny Rutherford, 12 Jun 2025
-
RC2: 'Comment on egusphere-2024-2445', Anonymous Referee #2, 26 May 2025
Rutherford and others study the consequences of using more realistic snow thermal parameters and biogeochemical temperature sensitivities for future carbon dioxide and methane release in a tundra ecosystem. The results make some interesting points but I was unsure why the particular site was chosen if no data are being compared against model results, especially as the earlier simulation period overlaps with the present day. As such it is unclear if the base model is realistic in the first place, which is critical for defensible future scenarios. I recommend trying to use existing observations, especially for things like snow duration and soil temperature that are measurable, for ensuring that model results are realistic before moving on to the important topic of making the model more realistic.
86: what does ‘not appropriate’ mean in this context? Why is it not appropriate?
161: note the spread of Q values…these are related to the chemical composition of the respired material and can change quite a lot, especially with respect to more labile carbon inputs that are easier to decompose.
222: note reference formatting error
The analysis in Figure 3 is interesting but for the particular site is there a measured data record to compare against, especially because the 2016-2046 averaging period includes the present day? It’s critical to understand how well modeled values match measurements to help instill confidence in the future projections.
Citation: https://doi.org/10.5194/egusphere-2024-2445-RC2 -
AC3: 'Reply on RC2', Johnny Rutherford, 12 Jun 2025
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2445/egusphere-2024-2445-AC3-supplement.pdf
-
AC3: 'Reply on RC2', Johnny Rutherford, 12 Jun 2025
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
465 | 120 | 67 | 652 | 27 | 39 |
- HTML: 465
- PDF: 120
- XML: 67
- Total: 652
- BibTeX: 27
- EndNote: 39
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1