Articles | Volume 17, issue 12
https://doi.org/10.5194/tc-17-5357-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-5357-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Dec 2023
Research article |
| 18 Dec 2023
| 18 Dec 2023
Snow accumulation, albedo and melt patterns following road construction on permafrost, Inuvik–Tuktoyaktuk Highway, Canada
Jennika Hammar
CORRESPONDING AUTHOR
Permafrost Research Section, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
Inge Grünberg
Permafrost Research Section, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
Steven V. Kokelj
Northwest Territories Geological Survey, Government of Northwest Territories, Yellowknife, NWT, X1A 2L9, Canada
Jurjen van der Sluijs
Northwest Territories Centre for Geomatics, Government of Northwest Territories, Yellowknife, NWT, X1A 2L9, Canada
Julia Boike
Permafrost Research Section, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany
Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany
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Tabea Rettelbach, Ingmar Nitze, Inge Grünberg, Jennika Hammar, Simon Schäffler, Daniel Hein, Matthias Gessner, Tilman Bucher, Jörg Brauchle, Jörg Hartmann, Torsten Sachs, Julia Boike, and Guido Grosse
Earth Syst. Sci. Data, 16, 5767–5798, https://doi.org/10.5194/essd-16-5767-2024, https://doi.org/10.5194/essd-16-5767-2024, 2024
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Permafrost landscapes in the Arctic are rapidly changing due to climate warming. Here, we publish aerial images and elevation models with very high spatial detail that help study these landscapes in northwestern Canada and Alaska. The images were collected using the Modular Aerial Camera System (MACS). This dataset has significant implications for understanding permafrost landscape dynamics in response to climate change. It is publicly available for further research.
Mehriban Aliyeva, Michael Angelopoulos, Julia Boike, Moritz Langer, Frederieke Miesner, Scott Dallimore, Dustin Whalen, Lukas U. Arenson, and Pier Paul Overduin
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This preprint is open for discussion and under review for The Cryosphere (TC).
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In this study, we investigate the ongoing transformation of terrestrial permafrost into subsea permafrost on a rapidly eroding Arctic island using electrical resistivity tomography and numerical modelling. We draw on 60 years of shoreline data to support our findings. This work is important for understanding permafrost loss in Arctic coastal areas and for guiding future efforts to protect vulnerable shorelines.
Kathrin Maier, Zhuoxuan Xia, Lin Liu, Mark J. Lara, Jurjen van der Sluijs, Philipp Bernhard, and Irena Hajnsek
EGUsphere, https://doi.org/10.5194/egusphere-2025-2187, https://doi.org/10.5194/egusphere-2025-2187, 2025
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Our study explores how thawing permafrost on the Qinghai-Tibet Plateau triggers landslides, mobilising stored carbon. Using satellite data from 2011 to 2020, we measured soil erosion, ice loss, and carbon mobilisation. While current impacts are modest, increasing landslide activity suggests future significance. This research underscores the need to understand permafrost thaw's role in carbon dynamics and climate change.
Ephraim Erkens, Michael Angelopoulos, Jens Tronicke, Scott R. Dallimore, Dustin Whalen, Julia Boike, and Pier Paul Overduin
The Cryosphere, 19, 997–1012, https://doi.org/10.5194/tc-19-997-2025, https://doi.org/10.5194/tc-19-997-2025, 2025
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We investigate the depth of subsea permafrost formed by inundation of terrestrial permafrost due to marine transgression around the rapidly disappearing, permafrost-cored Tuktoyaktuk Island (Beaufort Sea, NWT, Canada). We use geoelectrical surveys with floating electrodes to identify the boundary between unfrozen and frozen sediment. Our findings indicate that permafrost thaw depths beneath the seabed can be explained by coastal erosion rates and landscape features before inundation.
Tabea Rettelbach, Ingmar Nitze, Inge Grünberg, Jennika Hammar, Simon Schäffler, Daniel Hein, Matthias Gessner, Tilman Bucher, Jörg Brauchle, Jörg Hartmann, Torsten Sachs, Julia Boike, and Guido Grosse
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Permafrost landscapes in the Arctic are rapidly changing due to climate warming. Here, we publish aerial images and elevation models with very high spatial detail that help study these landscapes in northwestern Canada and Alaska. The images were collected using the Modular Aerial Camera System (MACS). This dataset has significant implications for understanding permafrost landscape dynamics in response to climate change. It is publicly available for further research.
Soraya Kaiser, Julia Boike, Guido Grosse, and Moritz Langer
Earth Syst. Sci. Data, 16, 3719–3753, https://doi.org/10.5194/essd-16-3719-2024, https://doi.org/10.5194/essd-16-3719-2024, 2024
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Arctic warming, leading to permafrost degradation, poses primary threats to infrastructure and secondary ecological hazards from possible infrastructure failure. Our study created a comprehensive Alaska inventory combining various data sources with which we improved infrastructure classification and data on contaminated sites. This resource is presented as a GeoPackage allowing planning of infrastructure damage and possible implications for Arctic communities facing permafrost challenges.
Frederieke Miesner, William Lambert Cable, Pier Paul Overduin, and Julia Boike
The Cryosphere, 18, 2603–2611, https://doi.org/10.5194/tc-18-2603-2024, https://doi.org/10.5194/tc-18-2603-2024, 2024
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The temperature in the sediment below Arctic lakes determines the stability of the permafrost and microbial activity. However, measurements are scarce because of the remoteness. We present a robust and portable device to fill this gap. Test campaigns have demonstrated its utility in a range of environments during winter and summer. The measured temperatures show a great variability within and across locations. The data can be used to validate models and estimate potential emissions.
Victoria R. Dutch, Nick Rutter, Leanne Wake, Oliver Sonnentag, Gabriel Hould Gosselin, Melody Sandells, Chris Derksen, Branden Walker, Gesa Meyer, Richard Essery, Richard Kelly, Phillip Marsh, Julia Boike, and Matteo Detto
Biogeosciences, 21, 825–841, https://doi.org/10.5194/bg-21-825-2024, https://doi.org/10.5194/bg-21-825-2024, 2024
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We undertake a sensitivity study of three different parameters on the simulation of net ecosystem exchange (NEE) during the snow-covered non-growing season at an Arctic tundra site. Simulations are compared to eddy covariance measurements, with near-zero NEE simulated despite observed CO2 release. We then consider how to parameterise the model better in Arctic tundra environments on both sub-seasonal timescales and cumulatively throughout the snow-covered non-growing season.
Jurjen van der Sluijs, Steven V. Kokelj, and Jon F. Tunnicliffe
The Cryosphere, 17, 4511–4533, https://doi.org/10.5194/tc-17-4511-2023, https://doi.org/10.5194/tc-17-4511-2023, 2023
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There is an urgent need to obtain size and erosion estimates of climate-driven landslides, such as retrogressive thaw slumps. We evaluated surface interpolation techniques to estimate slump erosional volumes and developed a new inventory method by which the size and activity of these landslides are tracked through time. Models between slump area and volume reveal non-linear intensification, whereby model coefficients improve our understanding of how permafrost landscapes may evolve over time.
Juditha Aga, Julia Boike, Moritz Langer, Thomas Ingeman-Nielsen, and Sebastian Westermann
The Cryosphere, 17, 4179–4206, https://doi.org/10.5194/tc-17-4179-2023, https://doi.org/10.5194/tc-17-4179-2023, 2023
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This study presents a new model scheme for simulating ice segregation and thaw consolidation in permafrost environments, depending on ground properties and climatic forcing. It is embedded in the CryoGrid community model, a land surface model for the terrestrial cryosphere. We describe the model physics and functionalities, followed by a model validation and a sensitivity study of controlling factors.
Brian Groenke, Moritz Langer, Jan Nitzbon, Sebastian Westermann, Guillermo Gallego, and Julia Boike
The Cryosphere, 17, 3505–3533, https://doi.org/10.5194/tc-17-3505-2023, https://doi.org/10.5194/tc-17-3505-2023, 2023
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It is now well known from long-term temperature measurements that Arctic permafrost, i.e., ground that remains continuously frozen for at least 2 years, is warming in response to climate change. Temperature, however, only tells half of the story. In this study, we use computer modeling to better understand how the thawing and freezing of water in the ground affects the way permafrost responds to climate change and what temperature trends can and cannot tell us about how permafrost is changing.
Sebastian Westermann, Thomas Ingeman-Nielsen, Johanna Scheer, Kristoffer Aalstad, Juditha Aga, Nitin Chaudhary, Bernd Etzelmüller, Simon Filhol, Andreas Kääb, Cas Renette, Louise Steffensen Schmidt, Thomas Vikhamar Schuler, Robin B. Zweigel, Léo Martin, Sarah Morard, Matan Ben-Asher, Michael Angelopoulos, Julia Boike, Brian Groenke, Frederieke Miesner, Jan Nitzbon, Paul Overduin, Simone M. Stuenzi, and Moritz Langer
Geosci. Model Dev., 16, 2607–2647, https://doi.org/10.5194/gmd-16-2607-2023, https://doi.org/10.5194/gmd-16-2607-2023, 2023
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The CryoGrid community model is a new tool for simulating ground temperatures and the water and ice balance in cold regions. It is a modular design, which makes it possible to test different schemes to simulate, for example, permafrost ground in an efficient way. The model contains tools to simulate frozen and unfrozen ground, snow, glaciers, and other massive ice bodies, as well as water bodies.
Victoria R. Dutch, Nick Rutter, Leanne Wake, Melody Sandells, Chris Derksen, Branden Walker, Gabriel Hould Gosselin, Oliver Sonnentag, Richard Essery, Richard Kelly, Phillip Marsh, Joshua King, and Julia Boike
The Cryosphere, 16, 4201–4222, https://doi.org/10.5194/tc-16-4201-2022, https://doi.org/10.5194/tc-16-4201-2022, 2022
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Measurements of the properties of the snow and soil were compared to simulations of the Community Land Model to see how well the model represents snow insulation. Simulations underestimated snow thermal conductivity and wintertime soil temperatures. We test two approaches to reduce the transfer of heat through the snowpack and bring simulated soil temperatures closer to measurements, with an alternative parameterisation of snow thermal conductivity being more appropriate.
Jan Nitzbon, Damir Gadylyaev, Steffen Schlüter, John Maximilian Köhne, Guido Grosse, and Julia Boike
The Cryosphere, 16, 3507–3515, https://doi.org/10.5194/tc-16-3507-2022, https://doi.org/10.5194/tc-16-3507-2022, 2022
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The microstructure of permafrost soils contains clues to its formation and its preconditioning to future change. We used X-ray computed tomography (CT) to measure the composition of a permafrost drill core from Siberia. By combining CT with laboratory measurements, we determined the the proportions of pore ice, excess ice, minerals, organic matter, and gas contained in the core at an unprecedented resolution. Our work demonstrates the potential of CT to study permafrost properties and processes.
Lutz Beckebanze, Benjamin R. K. Runkle, Josefine Walz, Christian Wille, David Holl, Manuel Helbig, Julia Boike, Torsten Sachs, and Lars Kutzbach
Biogeosciences, 19, 3863–3876, https://doi.org/10.5194/bg-19-3863-2022, https://doi.org/10.5194/bg-19-3863-2022, 2022
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In this study, we present observations of lateral and vertical carbon fluxes from a permafrost-affected study site in the Russian Arctic. From this dataset we estimate the net ecosystem carbon balance for this study site. We show that lateral carbon export has a low impact on the net ecosystem carbon balance during the complete study period (3 months). Nevertheless, our results also show that lateral carbon export can exceed vertical carbon uptake at the beginning of the growing season.
Noah D. Smith, Eleanor J. Burke, Kjetil Schanke Aas, Inge H. J. Althuizen, Julia Boike, Casper Tai Christiansen, Bernd Etzelmüller, Thomas Friborg, Hanna Lee, Heather Rumbold, Rachael H. Turton, Sebastian Westermann, and Sarah E. Chadburn
Geosci. Model Dev., 15, 3603–3639, https://doi.org/10.5194/gmd-15-3603-2022, https://doi.org/10.5194/gmd-15-3603-2022, 2022
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The Arctic has large areas of small mounds that are caused by ice lifting up the soil. Snow blown by wind gathers in hollows next to these mounds, insulating them in winter. The hollows tend to be wetter, and thus the soil absorbs more heat in summer. The warm wet soil in the hollows decomposes, releasing methane. We have made a model of this, and we have tested how it behaves and whether it looks like sites in Scandinavia and Siberia. Sometimes we get more methane than a model without mounds.
Stefan Kruse, Simone M. Stuenzi, Julia Boike, Moritz Langer, Josias Gloy, and Ulrike Herzschuh
Geosci. Model Dev., 15, 2395–2422, https://doi.org/10.5194/gmd-15-2395-2022, https://doi.org/10.5194/gmd-15-2395-2022, 2022
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We coupled established models for boreal forest (LAVESI) and permafrost dynamics (CryoGrid) in Siberia to investigate interactions of the diverse vegetation layer with permafrost soils. Our tests showed improved active layer depth estimations and newly included species growth according to their species-specific limits. We conclude that the new model system can be applied to simulate boreal forest dynamics and transitions under global warming and disturbances, expanding our knowledge.
Anna-Maria Virkkala, Susan M. Natali, Brendan M. Rogers, Jennifer D. Watts, Kathleen Savage, Sara June Connon, Marguerite Mauritz, Edward A. G. Schuur, Darcy Peter, Christina Minions, Julia Nojeim, Roisin Commane, Craig A. Emmerton, Mathias Goeckede, Manuel Helbig, David Holl, Hiroki Iwata, Hideki Kobayashi, Pasi Kolari, Efrén López-Blanco, Maija E. Marushchak, Mikhail Mastepanov, Lutz Merbold, Frans-Jan W. Parmentier, Matthias Peichl, Torsten Sachs, Oliver Sonnentag, Masahito Ueyama, Carolina Voigt, Mika Aurela, Julia Boike, Gerardo Celis, Namyi Chae, Torben R. Christensen, M. Syndonia Bret-Harte, Sigrid Dengel, Han Dolman, Colin W. Edgar, Bo Elberling, Eugenie Euskirchen, Achim Grelle, Juha Hatakka, Elyn Humphreys, Järvi Järveoja, Ayumi Kotani, Lars Kutzbach, Tuomas Laurila, Annalea Lohila, Ivan Mammarella, Yojiro Matsuura, Gesa Meyer, Mats B. Nilsson, Steven F. Oberbauer, Sang-Jong Park, Roman Petrov, Anatoly S. Prokushkin, Christopher Schulze, Vincent L. St. Louis, Eeva-Stiina Tuittila, Juha-Pekka Tuovinen, William Quinton, Andrej Varlagin, Donatella Zona, and Viacheslav I. Zyryanov
Earth Syst. Sci. Data, 14, 179–208, https://doi.org/10.5194/essd-14-179-2022, https://doi.org/10.5194/essd-14-179-2022, 2022
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The effects of climate warming on carbon cycling across the Arctic–boreal zone (ABZ) remain poorly understood due to the relatively limited distribution of ABZ flux sites. Fortunately, this flux network is constantly increasing, but new measurements are published in various platforms, making it challenging to understand the ABZ carbon cycle as a whole. Here, we compiled a new database of Arctic–boreal CO2 fluxes to help facilitate large-scale assessments of the ABZ carbon cycle.
Katharina Jentzsch, Julia Boike, and Thomas Foken
Atmos. Meas. Tech., 14, 7291–7296, https://doi.org/10.5194/amt-14-7291-2021, https://doi.org/10.5194/amt-14-7291-2021, 2021
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Very small CO2 fluxes are measured at night in Arctic regions. If the sensible heat flux is not close to zero under these conditions, the WPL correction will take values on the order of the flux. A special quality control is proposed for these cases.
Steven V. Kokelj, Justin Kokoszka, Jurjen van der Sluijs, Ashley C. A. Rudy, Jon Tunnicliffe, Sarah Shakil, Suzanne E. Tank, and Scott Zolkos
The Cryosphere, 15, 3059–3081, https://doi.org/10.5194/tc-15-3059-2021, https://doi.org/10.5194/tc-15-3059-2021, 2021
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Climate-driven landslides are transforming glacially conditioned permafrost terrain, coupling slopes with aquatic systems, and triggering a cascade of downstream effects. Nonlinear intensification of thawing slopes is primarily affecting headwater systems where slope sediment yields overwhelm stream transport capacity. The propagation of effects across watershed scales indicates that western Arctic Canada will be an interconnected hotspot of thaw-driven change through the coming millennia.
Lydia Stolpmann, Caroline Coch, Anne Morgenstern, Julia Boike, Michael Fritz, Ulrike Herzschuh, Kathleen Stoof-Leichsenring, Yury Dvornikov, Birgit Heim, Josefine Lenz, Amy Larsen, Katey Walter Anthony, Benjamin Jones, Karen Frey, and Guido Grosse
Biogeosciences, 18, 3917–3936, https://doi.org/10.5194/bg-18-3917-2021, https://doi.org/10.5194/bg-18-3917-2021, 2021
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Our new database summarizes DOC concentrations of 2167 water samples from 1833 lakes in permafrost regions across the Arctic to provide insights into linkages between DOC and environment. We found increasing lake DOC concentration with decreasing permafrost extent and higher DOC concentrations in boreal permafrost sites compared to tundra sites. Our study shows that DOC concentration depends on the environmental properties of a lake, especially permafrost extent, ecoregion, and vegetation.
Juditha Undine Schmidt, Bernd Etzelmüller, Thomas Vikhamar Schuler, Florence Magnin, Julia Boike, Moritz Langer, and Sebastian Westermann
The Cryosphere, 15, 2491–2509, https://doi.org/10.5194/tc-15-2491-2021, https://doi.org/10.5194/tc-15-2491-2021, 2021
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This study presents rock surface temperatures (RSTs) of steep high-Arctic rock walls on Svalbard from 2016 to 2020. The field data show that coastal cliffs are characterized by warmer RSTs than inland locations during winter seasons. By running model simulations, we analyze factors leading to that effect, calculate the surface energy balance and simulate different future scenarios. Both field data and model results can contribute to a further understanding of RST in high-Arctic rock walls.
Jan Nitzbon, Moritz Langer, Léo C. P. Martin, Sebastian Westermann, Thomas Schneider von Deimling, and Julia Boike
The Cryosphere, 15, 1399–1422, https://doi.org/10.5194/tc-15-1399-2021, https://doi.org/10.5194/tc-15-1399-2021, 2021
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We used a numerical model to investigate how small-scale landscape heterogeneities affect permafrost thaw under climate-warming scenarios. Our results show that representing small-scale heterogeneities in the model can decide whether a landscape is water-logged or well-drained in the future. This in turn affects how fast permafrost thaws under warming. Our research emphasizes the importance of considering small-scale processes in model assessments of permafrost thaw under climate change.
Simone Maria Stuenzi, Julia Boike, William Cable, Ulrike Herzschuh, Stefan Kruse, Luidmila A. Pestryakova, Thomas Schneider von Deimling, Sebastian Westermann, Evgenii S. Zakharov, and Moritz Langer
Biogeosciences, 18, 343–365, https://doi.org/10.5194/bg-18-343-2021, https://doi.org/10.5194/bg-18-343-2021, 2021
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Boreal forests in eastern Siberia are an essential component of global climate patterns. We use a physically based model and field measurements to study the interactions between forests, permanently frozen ground and the atmosphere. We find that forests exert a strong control on the thermal state of permafrost through changing snow cover dynamics and altering the surface energy balance, through absorbing most of the incoming solar radiation and suppressing below-canopy turbulent fluxes.
Rupesh Subedi, Steven V. Kokelj, and Stephan Gruber
The Cryosphere, 14, 4341–4364, https://doi.org/10.5194/tc-14-4341-2020, https://doi.org/10.5194/tc-14-4341-2020, 2020
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Permafrost beneath tundra near Lac de Gras (Northwest Territories, Canada) contains more ice and less organic carbon than shown in global compilations. Excess-ice content of 20–60 %, likely remnant Laurentide basal ice, is found in upland till. This study is based on 24 boreholes up to 10 m deep. Findings highlight geology and glacial legacy as determinants of a mosaic of permafrost characteristics with potential for thaw subsidence up to several metres in some locations.
Scott Zolkos, Suzanne E. Tank, Robert G. Striegl, Steven V. Kokelj, Justin Kokoszka, Cristian Estop-Aragonés, and David Olefeldt
Biogeosciences, 17, 5163–5182, https://doi.org/10.5194/bg-17-5163-2020, https://doi.org/10.5194/bg-17-5163-2020, 2020
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High-latitude warming thaws permafrost, exposing minerals to weathering and fluvial transport. We studied the effects of abrupt thaw and associated weathering on carbon cycling in western Canada. Permafrost collapse affected < 1 % of the landscape yet enabled carbonate weathering associated with CO2 degassing in headwaters and increased bicarbonate export across watershed scales. Weathering may become a driver of carbon cycling in ice- and mineral-rich permafrost terrain across the Arctic.
Jean-Louis Bonne, Hanno Meyer, Melanie Behrens, Julia Boike, Sepp Kipfstuhl, Benjamin Rabe, Toni Schmidt, Lutz Schönicke, Hans Christian Steen-Larsen, and Martin Werner
Atmos. Chem. Phys., 20, 10493–10511, https://doi.org/10.5194/acp-20-10493-2020, https://doi.org/10.5194/acp-20-10493-2020, 2020
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This study introduces 2 years of continuous near-surface in situ observations of the stable isotopic composition of water vapour in parallel with precipitation in north-eastern Siberia. We evaluate the atmospheric transport of moisture towards the region of our observations with simulations constrained by meteorological reanalyses and use this information to interpret the temporal variations of the vapour isotopic composition from seasonal to synoptic timescales.
Cited articles
Ackerman, D.: Shrub-induced snowpack variability alters wintertime soil respiration across a simulated tundra landscape, Polar Res., 37, 1468197, https://doi.org/10.1080/17518369.2018.1468197, 2018. a
Ackerman, D. E. and Finlay, J. C.: Road dust biases NDVI and alters edaphic properties in Alaskan arctic tundra, Sci. Rep., 9, 1–8, https://doi.org/10.1038/s41598-018-36804-3, 2019. a, b, c
Antonova, S., Thiel, C., Höfle, B., Anders, K., Helm, V., Zwieback, S., Marx, S., and Boike, J.: Estimating tree height from TanDEM-X data at the northwestern Canadian treeline, Remote Sens. Environ., 231, 111251, https://doi.org/10.1016/j.rse.2019.111251, 2019. a
Benson, C., Holmgren, B., Timmer, R., Weller, G., and Parrish, S.: Observations on the seasonal snow cover and radiation climate at Prudhoe Bay, Alaska during 1972, Ecological investigations of the tundra biome in the Prudhoe Bay region, Alaska, Biological Papers of the University of Alaska, Special report, 12–50, https://doi.org/10.5962/bhl.title.11578, 1975. a, b, c, d, e, f, g, h
Bergstedt, H., Jones, B. M., Walker, D. A., Peirce, J. L., Bartsch, A., Pointner, G., Kanevskiy, M. Z., Raynolds, M. K., and Buchhorn, M.: The spatial and temporal influence of infrastructure and road dust on seasonal snowmelt, vegetation productivity, and early season surface water cover in the Prudhoe Bay Oilfield, Arctic Science, 9, 243–259, https://doi.org/10.1139/as-2022-0013, 2022. a, b
Biskaborn, B. K., Smith, S. L., Noetzli, J., Matthes, H., Vieira, G., Streletskiy, D. A., Schoeneich, P., Romanovsky, V. E., Lewkowicz, A. G., Abramov, A., Allard, M., Boike, J., Cable, W. L., Christiansen, H. H., Delaloye, R., Diekmann, B., Drozdov, D., Etzelmüller, B., Grosse, G., Guglielmin, M., Ingeman-Nielsen, T., Isaksen, K., Ishikawa, M., Johansson, M., Johannsson, H., Joo, A., Kaverin, D., Kholodov, A., Konstantinov, P., Kröger, T., Lambiel, C., Lanckman, J. P., Luo, D., Malkova, G., Meiklejohn, I., Moskalenko, N., Oliva, M., Phillips, M., Ramos, M., Sannel, A. B. K., Sergeev, D., Seybold, C., Skryabin, P., Vasiliev, A., Wu, Q., Yoshikawa, K., Zheleznyak, M., and Lantuit, H.: Permafrost is warming at a global scale, Nat. Commun., 10, 1–11, https://doi.org/10.1038/s41467-018-08240-4, 2019. a
Bookhagen, B.: Pre-process and classify lidar or SfM point-cloud data for processing with PC_geomorph_roughness, GitHub [code], https://github.com/BodoBookhagen/PC_geomorph_roughness/blob/master/docs/PC_geomorph_roughness_manual.pdf (last access: 10 December 2023), 2018. a
Brandt, J.: The extent of the North American boreal zone, Environ. Rev., 17, 101–161, https://doi.org/10.1139/A09-004, 2009. a
Cameron, E. A. and Lantz, T. C.: Drivers of tall shrub proliferation adjacent to the Dempster Highway, Northwest Territories, Canada, Environ. Res. Lett., 11, 045006, https://doi.org/10.1088/1748-9326/11/4/045006, 2016. a
Cogley, J., Hock, R., Rasmussen, L., Arendt, A., Bauder, A., Braithwaite, R., Jansson, P., Kaser, G., Möller, M., Nicholson, L., and Zemp, M.: Glossary of glacier mass balance and related terms, vol. 86 of IHP-VII Technical Documents in Hydrology, UNESCO-IHP, https://doi.org/10.5167/uzh-53475, 2011. a
Darrow, M. M.: Thermal modeling of roadway embankments over permafrost, Cold Reg. Sci. Technol., 65, 474–487, https://doi.org/10.1016/j.coldregions.2010.11.001, 2011. a
De Guzman, E. M. B., Alfaro, M. C., Doré, G., Arenson, L. U., and Piamsalee, A.: Performance of highway embankments in the Arctic constructed under winter conditions, Can. Geotechn. J., 58, 722–736, https://doi.org/10.1139/cgj-2019-0121, 2021. a, b
Dozier, J.: Spectral signature of alpine snow cover from the landsat thematic mapper, Remote Sens. Environ., 28, 9–22, https://doi.org/10.1016/0034-4257(89)90101-6, 1989. a
Duk-Rodkin, A. and Lemmen, D.: Glacial history of the Mackenzie region, in: The Physical Environment of the Mackenzie Valley, Northwest Territories: a Baseline for the Assessment of Environmental Change, edited by: Dyke, L. and Brooks, G., 547, 11–20, Geological Survey of Canada, https://doi.org/10.4095/211903, 2000. a
Everett, K. R.: Distribution and properties of road dust along the northern portion of the Haul Road, in: Environmental engineering and ecological baseline investigations along the Yukon River-Prudhoe Bay Haul Road, CRREL Report, edited by: Brown, J. and Berg, R., chap. 3, 101–128, Publisher: U.S. Army Cold Regions Research and Engineering Laboratory, 1980. a, b, c, d
Fortier, R., LeBlanc, A. M., and Yu, W.: Impacts of permafrost degradation on a road embankment at Umiujaq in Nunavik (Quebec), Canada, Can. Geotech. J., 48, 720–740, https://doi.org/10.1139/t10-101, 2011. a
Fraser, R. H., Lantz, T. C., Olthof, I., Kokelj, S. V., and Sims, R. A.: Warming-Induced Shrub Expansion and Lichen Decline in the Western Canadian Arctic, Ecosystems, 17, 1151–1168, https://doi.org/10.1007/s10021-014-9783-3, 2014. a
Ge, Y. and Gong, G.: Land surface insulation response to snow depth variability, J. Geophys. Res.-Atmos., 115, 1–11, https://doi.org/10.1029/2009JD012798, 2010. a
Gill, H. K., Lantz, T. C., O'Neill, B., and Kokelj, S. V.: Cumulative impacts and feedbacks of a gravel road on shrub tundra ecosystems in the Peel Plateau, Northwest Territories, Canada, Arct. Antarct. Alp. Res., 46, 947–961, https://doi.org/10.1657/1938-4246-46.4.947, 2014. a, b, c
Gouttevin, I., Menegoz, M., Dominé, F., Krinner, G., Koven, C., Ciais, P., Tarnocai, C., and Boike, J.: How the insulating properties of snow affect soil carbon distribution in the continental pan-Arctic area, J. Geophys. Res.-Biogeo., 117, 1–11, https://doi.org/10.1029/2011JG001916, 2012. a
Government of Canada: Infrastructure Canada Projects and Programs (since 2002) – Northwest Territories, https://www.infrastructure.gc.ca/investments-2002-investissements/nt-eng.html (last access: 26 October 2023), 2023. a
Grünberg, I., Wilcox, E. J., Zwieback, S., Marsh, P., and Boike, J.: Linking tundra vegetation, snow, soil temperature, and permafrost, Biogeosciences, 17, 4261–4279, https://doi.org/10.5194/bg-17-4261-2020, 2020. a
Gädeke, A., Langer, M., Boike, J., Burke, E. J., Chang, J., Head, M., Reyer, C. P. O., Schaphoff, S., Thiery, W., and Thonicke, K.: Climate change reduces winter overland travel across the Pan-Arctic even under low-end global warming scenarios, Environ. Res. Lett., 16, 024049, https://doi.org/10.1088/1748-9326/abdcf2, 2021. a
Hagolle, O., Huc, M., Desjardins, C., Auer, S., and Richter, R.: MAJA Algorithm Theoretical Basis Document, Zenodo, https://doi.org/10.5281/zenodo.1209633, 2017. a
Hall, D. K., Riggs, G. A., and Salomonson, V. V.: Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data, Remote Sens. Environ., 54, 127–140, https://doi.org/10.1016/0034-4257(95)00137-P, 1995. a, b, c
Hammar, J., Grünberg, I., Hendricks, S., Jutila, A., Helm, V., and Boike, J.: Snow covered digital elevation model and snow depth product (2019), Trail Valley Creek, NWT, Canada, Pangaea [data set], https://doi.org/10.1594/PANGAEA.962552, 2023. a, b
Hendricks, S.: AWI ALS toolbox, GitHub [code], https://github.com/shendric/awi-als-toolbox.git (last access: 15 August 2021), 2019. a
Hinkel, K., Paetzold, F., Nelson, F., and Bockheim, J.: Patterns of soil temperature and moisture in the active layer and upper permafrost at Barrow, Alaska: 1993–1999, Global Planet. Change, 29, 293–309, https://doi.org/10.1016/S0921-8181(01)00096-0, 2001. a
Idrees, M., Burn, C., Moore, J., and Calmels, F.: Monitoring permafrost conditions along the Dempster Highway, in: GeoQuébec 2015: challenges from North to South, 2015. a
Judge, A. S., Taylor, A. E., and Burgess, M.: Canadian Geothermal Data Collection–Northern Wells 1977–1978, Geothermal Series, 11, Earth Physics Branch, Energy, Mines and Resources, Ottawa, 1979. a
Keller, J. and Lamprecht, R.: Road dust as an indicator for air pollution transport and deposition: An application of SPOT imagery, Remote Sens. Environ., 54, 1–12, https://doi.org/10.1016/0034-4257(95)00119-L, 1995. a
Kokelj, S. V., Palmer, M. J., Lantz, T. C., and Burn, C. R.: Ground Temperatures and Permafrost Warming from Forest to Tundra, Tuktoyaktuk Coastlands and Anderson Plain, NWT, Canada, Permafrost Periglac., 28, 543–551, https://doi.org/10.1002/ppp.1934, 2017. a, b
Kulkarni, A. V., Srinivasulu, J., Manjul, S. S., and Mathur, P.: Field based spectral reflectance studies to develop NDSI method for snow cover monitoring, J. Indian Soc. Remot., 30, 73–80, https://doi.org/10.1007/BF02989978, 2002. a
Lange, S., Cable, W. L., Grünberg, I., and Boike, J.: GNSS measurements Inuvik-Tuktoyaktuk-Highway (ITH) and Trail Valley Creek (TVC) 2018, Pangaea [data set], https://doi.org/10.1594/PANGAEA.918649, 2020. a
Lange, S., Grünberg, I., Anders, K., Hartmann, J., Helm, V., and Boike, J.: Airborne Laser Scanning (ALS) point clouds of the Inuvik-Tuktuyaktuk-Highway, NWT, Canada (2018), Pangaea, https://doi.org/10.1594/PANGAEA.939655, 2021. a
Lanouette, F., Doré, G., Fortier, D., and Lemieux, C.: Influence of snow cover on the ground thermal regime along an embankment built on permafrost: In-situ measurements, 68th Canadian Geotechnical Conference and 7th Canadian Permafrost Conference, Québec, https://doi.org/10.13140/RG.2.1.2482.1848, 2015. a
Lawrence, D. M. and Swenson, S. C.: Permafrost response to increasing Arctic shrub abundance depends on the relative influence of shrubs on local soil cooling versus large-scale climate warming, Environ. Res. Lett., 6, 045504, https://doi.org/10.1088/1748-9326/6/4/045504, 2011. a
Liang, S., Shuey, C. J., Russ, A. L., Fang, H., Chen, M., Walthall, C. L., Daughtry, C. S., and Hunt, R.: Narrowband to broadband conversions of land surface albedo: II. Validation, Remote Sens. Environ., 84, 25–41, https://doi.org/10.1016/S0034-4257(02)00068-8, 2003. a, b
Lievens, H., Brangers, I., Marshall, H.-P., Jonas, T., Olefs, M., and De Lannoy, G.: Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps, The Cryosphere, 16, 159–177, https://doi.org/10.5194/tc-16-159-2022, 2022. a
Liston, G. E. and Sturm, M.: A snow-transport model for complex terrain, J. Glaciol., 44, 498–516, https://doi.org/10.3189/S0022143000002021, 1998. a
Macander, M. J., Swingley, C. S., Joly, K., and Raynolds, M. K.: Landsat-based snow persistence map for northwest Alaska, Remote Sens. Environ., 163, 23–31, https://doi.org/10.1016/j.rse.2015.02.028, 2015. a
Mackay, J.: The Mackenzie Delta Area, N.W.T., Canada, Queen's printer, 1963. a
Mackay, J. R.: Permafrost Depths, Lower Mackenzie Valley, Northwest Territories, Arctic, 20, 21–26, https://doi.org/10.14430/arctic3275, 1967. a
Marsh, P., Bartlett, P., MacKay, M., Pohl, S., and Lantz, T.: Snowmelt energetics at a shrub tundra site in the western Canadian Arctic, Hydrol. Process., 24, 3603–3620, https://doi.org/10.1002/hyp.7786, 2010. a
McFeeters, S. K.: The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features, Int. J. Remote Sens., 17, 1425–1432, https://doi.org/10.1080/01431169608948714, 1996. a, b
Morse, P. D. and Wolfe, S. A.: Geological and meteorological controls on icing (aufeis) dynamics (1985 to 2014) in subarctic Canada, J. Geophys. Res.-Earth, 120, 1670–1686, https://doi.org/10.1002/2015JF003534, 2015. a
Muñoz Sabater, J.: ERA5-Land hourly data from 1950 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), https://doi.org/10.24381/cds.e2161bac, 2019. a
Myers-Smith, I. H. and Hik, D. S.: Shrub canopies influence soil temperatures but not nutrient dynamics: An experimental test of tundra snow-shrub interactions, Ecol. Evol., 3, 3683–3700, https://doi.org/10.1002/ece3.710, 2013. a
Naegeli, K., Damm, A., Huss, M., Wulf, H., Schaepman, M., and Hoelzle, M.: Cross-Comparison of Albedo Products for Glacier Surfaces Derived from Airborne and Satellite (Sentinel-2 and Landsat 8) Optical Data, Remote Sensing, 9, 110, https://doi.org/10.3390/rs9020110, 2017. a, b, c
Nelson, F. E., Anisimov, O. A., and Shiklomanov, N. I.: Subsidence risk from thawing permafrost, Nature, 410, 889–890, https://doi.org/10.1038/35073746, 2001. a
Nill, L., Grünberg, I., Ullmann, T., Gessner, M., Boike, J., and Hostert, P.: Remote Sensing of Environment Arctic shrub expansion revealed by Landsat-derived multitemporal vegetation cover fractions in the Western Canadian Arctic, Remote Sens. Environ., 281, 113228, https://doi.org/10.1016/j.rse.2022.113228, 2022. a
Park, H., Fedorov, A. N., Zheleznyak, M. N., Konstantinov, P. Y., and Walsh, J. E.: Effect of snow cover on pan-Arctic permafrost thermal regimes, Clim. Dynam., 44, 2873–2895, https://doi.org/10.1007/s00382-014-2356-5, 2015. a, b, c
PDAL contributors: PDAL: The Point Data Abstraction Library, Zenodo, https://doi.org/10.5281/zenodo.2616780, 2022. a
Pingel, T. J., Clarke, K. C., and McBride, W. A.: An improved simple morphological filter for the terrain classification of airborne LIDAR data, ISPRS J. Photogramm., 77, 21–30, https://doi.org/10.1016/j.isprsjprs.2012.12.002, 2013. a
Rantanen, M., Karpechko, A. Y., Lipponen, A., Nordling, K., Hyvärinen, O., Ruosteenoja, K., Vihma, T., and Laaksonen, A.: The Arctic has warmed nearly four times faster than the globe since 1979, Commun. Earth Environ., 3, 168, https://doi.org/10.1038/s43247-022-00498-3, 2022. a
Raynolds, M. K., Walker, D. A., Ambrosius, K. J., Brown, J., Everett, K. R., Kanevskiy, M., Kofinas, G. P., Romanovsky, V. E., Shur, Y., and Webber, P. J.: Cumulative geoecological effects of 62 years of infrastructure and climate change in ice-rich permafrost landscapes, Prudhoe Bay Oilfield, Alaska, Glob. Change Biol., 20, 1211–1224, https://doi.org/10.1111/gcb.12500, 2014. a
Ren, S., Miles, E. S., Jia, L., Menenti, M., Kneib, M., Buri, P., McCarthy, M. J., Shaw, T. E., Yang, W., and Pellicciotti, F.: Anisotropy parameterization development and evaluation for glacier surface albedo retrieval from satellite observations, Remote Sensing, 13, 1714, https://doi.org/10.3390/rs13091714, 2021. a
Riegl: Airborne laser scanner with online waveform processing, http://www.riegl.com/uploads/tx_pxpriegldownloads/DataSheet_VQ-580_2015-03-23.pdf (last access: 1 November 2023), 2021. a
Schneider von Deimling, T., Lee, H., Ingeman-Nielsen, T., Westermann, S., Romanovsky, V., Lamoureux, S., Walker, D. A., Chadburn, S., Trochim, E., Cai, L., Nitzbon, J., Jacobi, S., and Langer, M.: Consequences of permafrost degradation for Arctic infrastructure – bridging the model gap between regional and engineering scales, The Cryosphere, 15, 2451–2471, https://doi.org/10.5194/tc-15-2451-2021, 2021. a, b
Spark, W.: Average Monthly Snowfall in Inuvik, https://weatherspark.com/y/292/Average-Weather-in-Inuvik-Canada-Year-Round#Figures-Snowfall (last access: 21 April 2023), 2023. a
Sturm, M. and Wagner, A. M.: Using repeated patterns in snow distribution modeling: An Arctic example, Water Resour. Res., 46, W12549, https://doi.org/10.1029/2010WR009434, 2010. a
Traversa, G., Fugazza, D., Senese, A., and Frezzotti, M.: Landsat 8 OLI broadband albedo validation in Antarctica and Greenland, Remote Sensing, 13, 1–19, https://doi.org/10.3390/rs13040799, 2021. a
van der Sluijs, J., Kokelj, S. V., Fraser, R. H., Tunnicliffe, J., and Lacelle, D.: Permafrost terrain dynamics and infrastructure impacts revealed by UAV photogrammetry and thermal imaging, Remote Sensing, 10, 1734, https://doi.org/10.3390/rs10111734, 2018. a, b
van der Sluijs, J., Kokelj, S. V., and Tunnicliffe, J. F.: Allometric scaling of retrogressive thaw slumps, The Cryosphere, 17, 4511–4533, https://doi.org/10.5194/tc-17-4511-2023, 2023a. a
van der Sluijs, J., Saiet, E., Bakelaar, C. N., Wentworth, A., Fraser, R. H., and Kokelj, S. V.: Beyond visual-line-of-sight (BVLOS) drone operations for environmental and infrastructure monitoring: a case study in northwestern Canada, Drone Systems and Applications, 11, 1–15, https://doi.org/10.1139/dsa-2023-0012, 2023b. a
Walker, B., Wilcox, E. J., and Marsh, P.: Accuracy assessment of late winter snow depth mapping for tundra environments using structure-from-motion photogrammetry, Arctic Science, 7, 588–604, https://doi.org/10.1139/as-2020-0006, 2021. a
Walker, D. A. and Everett, K. R.: Road dust and its environmental impact on Alaskan taiga and tundra, Arct. Alp. Res., 19, 479–489, https://doi.org/10.2307/1551414, 1987. a, b, c
Walker, D. A., Raynolds, M. K., Kanevskiy, M. Z., Shur, Y. S., Romanovsky, V. E., Jones, B. M., Buchhorn, M., Jorgenson, M. T., Šibík, J., Breen, A. L., Kade, A., Watson-Cook, E., Bergstedt, H., Liljedahl, A. K., Daanen, R. P., Connor, B., Nicolsky, D., and Peirce, J. L.: Cumulative impacts of a gravel road and climate change in an ice-wedge polygon landscape, Prudhoe Bay, AK, Arctic Science, 27, 1–27, https://doi.org/10.1139/as-2021-0014, 2022. a, b
Wen, J., Liu, Q., Liu, Q., Xiao, Q., and Li, X.: Parametrized BRDF for atmospheric and topographic correction and albedo estimation in Jiangxi rugged terrain, China, Int. J. Remote Sens., 30, 2875–2896, https://doi.org/10.1080/01431160802558618, 2009. a
Wilcox, E. J., Keim, D., de Jong, T., Walker, B., Sonnentag, O., Sniderhan, A. E., Mann, P., and Marsh, P.: Tundra shrub expansion may amplify permafrost thaw by advancing snowmelt timing, Arctic Science, 5, 202–217, https://doi.org/10.1139/as-2018-0028, 2019. a, b, c
Zeng, H. and Jia, G.: Impacts of snow cover on vegetation phenology in the arctic from satellite data, Adv. Atmos. Sci., 30, 1421–1432, https://doi.org/10.1007/s00376-012-2173-x, 2013. a
Zupanc, A.: Improving Cloud Detection with Machine Learning, https://medium.com/sentinel-hub/improving-cloud-detection-with-machine-learning-c09dc5d7cf13 (last access: 1 November 2023), 2019. a
Zupanc, A.: Cloud Masks at Your Service, https://medium.com/sentinel-hub/cloud-masks-at-your-service-6e5b2cb2ce8a (last access: 1 November 2023), 2020. a
Zupanc, A.: Sentinel Hub Cloud Detector, https://www.sentinel-hub.com/sites/default/s2cloudless.pdf (last access: 1 November 2023), 2021. a
Short summary
Roads on permafrost have significant environmental effects. This study assessed the Inuvik to Tuktoyaktuk Highway (ITH) in Canada and its impact on snow accumulation, albedo and snowmelt timing. Our findings revealed that snow accumulation increased by up to 36 m from the road, 12-day earlier snowmelt within 100 m due to reduced albedo, and altered snowmelt patterns in seemingly undisturbed areas. Remote sensing aids in understanding road impacts on permafrost.
Roads on permafrost have significant environmental effects. This study assessed the Inuvik to...
