Articles | Volume 13, issue 2
https://doi.org/10.5194/tc-13-693-2019
© Author(s) 2019. 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-13-693-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Feb 2019
Research article |
| 28 Feb 2019
| 28 Feb 2019
New insights into the environmental factors controlling the ground thermal regime across the Northern Hemisphere: a comparison between permafrost and non-permafrost areas
Olli Karjalainen
CORRESPONDING AUTHOR
Geography Research Unit, University of Oulu, 90014, Oulu, Finland
Miska Luoto
Department of Geosciences and Geography, University of Helsinki,
00014, Helsinki, Finland
Juha Aalto
Department of Geosciences and Geography, University of Helsinki,
00014, Helsinki, Finland
Finnish Meteorological Institute, 00101, Helsinki, Finland
Jan Hjort
Geography Research Unit, University of Oulu, 90014, Oulu, Finland
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For the first time, suitable environments for palsas and peat plateaus were modeled for the whole Northern Hemisphere. The hotspots of occurrences were in northern Europe, western Siberia, and subarctic Canada. Climate change was predicted to cause almost complete loss of the studied landforms by the late century. Our predictions filled knowledge gaps in the distribution of the landforms, and they can be utilized in estimation of the pace and impacts of the climate change over northern regions.
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The amount of underground ice in the Arctic permafrost has a central role when assessing climate change-induced changes to natural conditions and human activity in the Arctic. Here, we present compilations of field-verified ground ice observations and high-resolution estimates of Northern Hemisphere ground ice content. The data highlight the variability of ground ice contents across the Arctic and provide called-for information to be used in modelling and environmental assessment studies.
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Datasets including ground temperature, active layer thickness, the probability of permafrost occurrence, and the zonation of hydrothermal condition with a 1 km resolution were released by integrating unprecedentedly large amounts of field data and multisource remote sensing data using multi-statistical\machine-learning models. It updates the understanding of the current thermal state and distribution for permafrost in the Northern Hemisphere.
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For the first time, suitable environments for palsas and peat plateaus were modeled for the whole Northern Hemisphere. The hotspots of occurrences were in northern Europe, western Siberia, and subarctic Canada. Climate change was predicted to cause almost complete loss of the studied landforms by the late century. Our predictions filled knowledge gaps in the distribution of the landforms, and they can be utilized in estimation of the pace and impacts of the climate change over northern regions.
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Manuscript not accepted for further review
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The amount of underground ice in the Arctic permafrost has a central role when assessing climate change-induced changes to natural conditions and human activity in the Arctic. Here, we present compilations of field-verified ground ice observations and high-resolution estimates of Northern Hemisphere ground ice content. The data highlight the variability of ground ice contents across the Arctic and provide called-for information to be used in modelling and environmental assessment studies.
Youhua Ran, Xin Li, Guodong Cheng, Jingxin Che, Juha Aalto, Olli Karjalainen, Jan Hjort, Miska Luoto, Huijun Jin, Jaroslav Obu, Masahiro Hori, Qihao Yu, and Xiaoli Chang
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Datasets including ground temperature, active layer thickness, the probability of permafrost occurrence, and the zonation of hydrothermal condition with a 1 km resolution were released by integrating unprecedentedly large amounts of field data and multisource remote sensing data using multi-statistical\machine-learning models. It updates the understanding of the current thermal state and distribution for permafrost in the Northern Hemisphere.
Related subject area
Discipline: Frozen ground | Subject: Arctic (e.g. Greenland)
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The current state and 125 kyr history of permafrost on the Kara Sea shelf: modeling constraints
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Tyler C. Herrington, Christopher G. Fletcher, and Heather Kropp
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Philipp Bernhard, Simon Zwieback, and Irena Hajnsek
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Elchin E. Jafarov, Dylan R. Harp, Ethan T. Coon, Baptiste Dafflon, Anh Phuong Tran, Adam L. Atchley, Youzuo Lin, and Cathy J. Wilson
The Cryosphere, 14, 77–91, https://doi.org/10.5194/tc-14-77-2020, https://doi.org/10.5194/tc-14-77-2020, 2020
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Improved subsurface parameterization and benchmarking data are needed to reduce current uncertainty in predicting permafrost response to a warming climate. We developed a subsurface parameter estimation framework that can be used to estimate soil properties where subsurface data are available. We utilize diverse geophysical datasets such as electrical resistance data, soil moisture data, and soil temperature data to recover soil porosity and soil thermal conductivity.
Emmanuel Léger, Baptiste Dafflon, Yves Robert, Craig Ulrich, John E. Peterson, Sébastien C. Biraud, Vladimir E. Romanovsky, and Susan S. Hubbard
The Cryosphere, 13, 2853–2867, https://doi.org/10.5194/tc-13-2853-2019, https://doi.org/10.5194/tc-13-2853-2019, 2019
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We propose a new strategy called distributed temperature profiling (DTP) for improving the estimation of soil thermal properties through the use of an unprecedented number of laterally and vertically distributed temperature measurements. We tested a DTP system prototype by moving it sequentially across a discontinuous permafrost environment. The DTP enabled high-resolution identification of near-surface permafrost location and covariability with topography, vegetation, and soil properties.
Christine Kroisleitner, Annett Bartsch, and Helena Bergstedt
The Cryosphere, 12, 2349–2370, https://doi.org/10.5194/tc-12-2349-2018, https://doi.org/10.5194/tc-12-2349-2018, 2018
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Knowledge about permafrost extent is required with respect to climate change. We used borehole temperature records from across the Arctic for the assessment of surface status information (frozen or unfrozen) derived from space-borne microwave sensors for permafrost extent mapping. The comparison to mean annual ground temperature (MAGT) at the coldest sensor depth revealed that not only extent but also temperature can be obtained from C-band-derived surface state with a residual error of 2.22 °C.
Cited articles
Aalto, J., Harrison, S., and Luoto, M.: Statistical modelling predicts
almost complete loss of major periglacial processes in Northern Europe by
2100, Nat. Commun., 8, 515, https://doi.org/10.1038/s41467-017-00669-3,
2017.
Aalto, J., Karjalainen, O., Hjort, J., and Luoto, M.: Statistical
forecasting of current and future circum-Arctic ground temperatures and
active layer thickness, Geophys. Res. Lett., 45, 4889–4898,
https://doi.org/10.1029/2018GL078007, 2018a.
Aalto, J., Scherrer, D., Lenoir, J., Guisan, A., and Luoto, M.:
Biogeophysical controls on soil-atmosphere thermal differences: implications
on warming Arctic ecosystems, Environ. Res. Lett., 13, 074003,
https://doi.org/10.1088/1748-9326/aac83e, 2018b.
AMAP: Snow, Water, Ice and Permafrost in the Arctic (SWIPA): Climate Change
and the Cryosphere, Arctic Monitoring and Assessment Programme (AMAP), Oslo,
Norway, 2017.
Atchley, A. L., Coon, E. T., Painter, S. L., Harp, D. R., and Wilson, C. J.:
Influences and interactions of inundation, peat, and snow on active layer
thickness, Geophys. Res. Lett., 43, 5116–5123,
https://doi.org/10.1002/2016GL068550, 2016.
Bailey, V. L., Bond-Lamberty, B., DeAngelis, K., Grandy, A. S., Hawkes, C.
V., Heckman, K., Lajtha, K., Phillips, R. P., Sulman, B. N., Todd-Brown, K.
E. O., and Wallenstein, M. D.: Soil carbon cycling proxies: understanding
their critical role in predicting climate change feedbacks, Glob. Change
Biol., 24, 895–905, https://doi.org/10.1111/gcb.13926, 2017.
Bartsch, A., Höfler, A., Kroisleitner, C., and Trofaier, A. M.: Land
cover mapping in northern high latitude permafrost regions with satellite
data: achievements and remaining challenges, Remote Sens., 8, 979,
https://doi.org/10.3390/rs8120979, 2016.
Bintanja, R. and Andry, O.: Towards a rain-dominated Arctic, Nat. Clim.
Change, 7, 263–267, https://doi.org/10.1038/nclimate3240, 2017.
Biskaborn, B. K., Lanckman, J.-P., Lantuit, H., Elger, K., Streletskiy, D. A., Cable, W. L., and Romanovsky, V. E.: The new
database of the Global Terrestrial Network for Permafrost (GTN-P), Earth Syst. Sci. Data, 7, 245–259, https://doi.org/10.5194/essd-7-245-2015, 2015.
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, 264,
https://doi.org/10.1038/s41467-018-08240-4, 2019.
Bokhorst, S., Højlund Pedersen, S., Brucker, L., Anisimov, O., Bjerke, J.
W., Brown, R. D., Ehrich, D., Essery, R. L. H., Heilig, A., Ingvander, S.,
Johansson C., Johansson, M., Jónsdóttir, I. S., Inga, N., Luojus,
K., Macelloni, G., Mariash, H., McLennan, D., Rosqvist, G. N., Sato, A.,
Savela, H., Schneebeli, M., Sokolov, A., Sokratov, S. A., Terzago, S.,
Vikhamar-Schuler, D.,Williamson, S., Qiu, Y., and Callaghan, T. V.: Changing
Arctic snow cover: a review of recent developments and assessment of future
needs for observations, modelling, and impacts, Ambio, 45, 516–537,
https://doi.org/10.1007/s13280-016-0770-0, 2016.
Bonnaventure, P. P. and Lamoureux, S. F.: The active layer: a conceptual
review of monitoring, modelling techniques and changes in a warming climate,
Prog. Phys. Geog., 37, 352–376, https://doi.org/10.1177/0309133313478314,
2013.
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, 2001.
Brown, J., Hinkel, K. M., and Nelson, F. E.: The circumpolar active layer
monitoring (CALM) program: research designs and initial results, Polar Geography, 24, 165–258, 2000.
Brown, J., Ferrians Jr., O. J., Heginbottom, J. A., and Melnikov, E. S.:
Circum-Arctic Map of Permafrost and Ground-Ice Conditions Version 2,
National Snow and Ice Data Center, https://nsidc.org/data/ggd318, 2002.
Callaghan, T. V., Johansson, M., Anisimov, O., Christiansen, H. H.,
Instanes, A., Romanovsky, V. E., and Smith, S.: Changing permafrost and its
impacts, in: Snow, Water, Ice and Permafrost in the Arctic (SWIPA): Climate
Change and the Cryosphere, Arctic Monitoring and Assessment Programme
(AMAP), Oslo, Norway, 2011.
Chadburn, S. E., Burke, E. J., Cox, P. M., Friedlingstein, P., Hugelius, G.,
and Westermann, S.: An observation-based constraint on permafrost loss as a
function of global warming, Nat. Clim. Change, 7, 340–344,
https://doi.org/10.1038/nclimate3262, 2017.
Didan, K.: MOD13A2 MODIS/Terra Vegetation Indices 16-Day L3 Global 1 km SIN
Grid V006, NASA EOSDIS LP DAAC, https://doi.org/10.5067/MODIS/MOD13A2.006,
2015.
Etzelmüller, B.: Recent advances in mountain permafrost research,
Permafrost Periglac., 24, 99–107, https://doi.org/10.1002/ppp.1772, 2013.
Etzelmüller, B., Schuler, T. V., Isaksen, K., Christiansen, H. H., Farbrot, H., and Benestad, R.: Modeling the
temperature evolution of Svalbard permafrost during the 20th and 21st century, The Cryosphere, 5, 67–79, https://doi.org/10.5194/tc-5-67-2011, 2011.
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D.,
Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf, D.: The shuttle radar topography mission, Rev. Geophys.,
45, RG2004, https://doi.org/10.1029/2005RG000183, 2007.
Fiddes, J., Endrizzi, S., and Gruber, S.: Large-area land surface simulations in heterogeneous terrain driven by
global data sets: application to mountain permafrost, The Cryosphere, 9, 411–426, https://doi.org/10.5194/tc-9-411-2015, 2015.
Fisher, J. P., Estop-Aragonés, C., Thierry, A., Charman, D. J., Wolfe,
S. A., Hartley, I. P., Murton, J. B., Williams, M., and Phoenix, G. K.: The
influence of vegetation and soil characteristics on active-layer thickness
of permafrost soils in boreal forest, Glob. Change Biol., 22, 3217–3140,
https://doi.org/10.1111/gcb.13248, 2016.
Frauenfeld, O. W., Zhang, T., and Barry, R. G.: Interdecadal changes in
seasonal freeze and thaw depths in Russia, J. Geophys. Res., 109, D05101,
https://doi.org/10.1029/2003JD004245, 2004.
Frauenfeld, O. W., Zhang, T., and McCreight J. L.: Northern hemisphere
freezing/thawing index variations over the twentieth century, Int. J.
Climatol., 27, 47–63, https://doi.org/10.1002/joc.1372, 2007.
French, H. M.: The Periglacial Environment, 3rd Edn, Wiley, 2007.
Friedman, J., Hastie, T., and Tibshirani, R.: Additive logistic regression:
a statistical view of boosting, Ann. Stat., 28, 337–407,
2000.
Gangodamage, C., Rowland, J. C., Hubbard, S. S., Brumby, S. P., Liljedahl,
A. K., Wainwright, H., Wilson, C. J., Altmann, G. L., Dafflon, B., Peterson,
J., Ulrich, C., Tweedie, C. E., and Wullschleger, S. D.: Extrapolating
active layer thickness measurements across Arctic polygonal terrain using
LiDAR and NDVI data sets, Water Resour. Res., 50, 6339–6357,
https://doi.org/10.1002/2013WR014283, 2014.
Grosse, G., Goetz, S., McGuire, A. D., Romanovsky, V. E., and Schuur, E. A.
G.: Changing permafrost in a warming world and feedbacks to the Earth
system, Environ. Res. Lett., 11, 040201,
https://doi.org/10.1088/1748-9326/11/4/040201, 2016.
Gruber, S., Fleiner, R., Guegan, E., Panday, P., Schmid, M.-O., Stumm, D., Wester, P., Zhang, Y., and Zhao, L.:
Review article: Inferring permafrost and permafrost thaw in the mountains of the Hindu Kush Himalaya region, The
Cryosphere, 11, 81–99, https://doi.org/10.5194/tc-11-81-2017, 2017.
Guo, D., Li, D., and Hua, W.: Quantifying air temperature evolution in the
permafrost region from 1901 to 2014, Int. J. Climatol., 38, 66–76,
https://doi.org/10.1002/joc.5161, 2017.
Harlan, R. L. and Nixon J. F.: Ground thermal regime, in: Geotechnical
Engineering for Cold Regions, edited by: Andersland, O. B. and Anderson, D. M.,
McGraw-Hill, New York, 103–163, 1978.
Hasler, A., Geertsema, M., Foord, V., Gruber, S., and Noetzli, J.: The influence of surface characteristics,
topography and continentality on mountain permafrost in British Columbia, The Cryosphere, 9, 1025–1038, https://doi.org/10.5194/tc-9-1025-2015, 2015.
Hastie, T. J. and Tibshirani, R. J.: Generalized Additive Models, CRC Press,
1990.
Heikkinen, R. K., Luoto, M., Araújo, M. B., Virkkala, R., Thuiller, W.,
and Sykes, M. T.: Methods and uncertainties in bioclimatic envelope
modelling under climate change, Prog. Phys. Geog., 30, 751–777,
https://doi.org/10.1177/0309133306071957, 2006.
Hengl, T., Mendes de Jesus, J., Heuvelink, G. B. M., Ruiperez Gonzalez, M.,
Kilibarda, M., Blagotić, A., Shangguan, W., Wright, M. N., Geng, X.,
Bauer-Marschallinger, B., Antonio Guevara, M., Vargas, R., MacMillan, R. A.,
Batjes, N. H., Leenaars, J. G. B., Ribeiro, E., Wheeler, I., Mantel, S., and
Kempen, B.: SoilGrids250m – global gridded soil information based on machine
learning, PLoS ONE 12, e0169748,
https://doi.org/10.1371/journal.pone.0169748, 2017 (data available at: https://files.isric.org/soilgrids, last access: 3 January 2018).
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., and Jarvis, A.:
Very high resolution interpolated climate surfaces for global land areas,
Int. J Climatol., 25, 1965–1978, https://doi.org/10.1002/joc.1276, 2005 (data available at: https://worldclim.org/current, last access: 1 February 2016).
Hijmans, R. J., Phillips S., Leathwick, J., and Elith, J.: dismo: Species
Distribution Modeling, R package version 1.1-1, available at:
http://cran.r-project.org/web/packages/dismo/index.html,
last access: 16 June 2016.
Hjort, J. and Luoto, M.: Novel theoretical insights into geomorphic
process–environment relationships using simulated response curves, Earth
Surf. Proc. Land., 36, 363–371, https://doi.org/10.1002/esp.2048,
2011.
Hjort, J., Karjalainen, O., Aalto, J., Westermann, S., Romanovsky, V. E.,
Nelson, F. E., Etzelmüller, B., and Luoto, M.: Degrading permafrost puts
Arctic infrastructure at risk by mid-century, Nat. Commun., 9, 5147,
https://doi.org/10.1038/s41467-018-07557-4, 2018.
Johnson, K. D., Harden, J. W., McGuire, A. D., Clark, M., Yuan, F., and
Finley, A. O.: Permafrost and organic layer interactions over a climate
gradient in a discontinuous permafrost zone, Environ. Res. Lett., 8, 035028,
https://doi.org/10.1088/1748-9326/8/3/035028, 2013.
Jorgenson, M. T., Romanovsky, V., Harden, J., Shur, Y., O'Donnell, J.,
Schuur, E. A. G., Kanevskiy, M., and Marchenko, S.: Resilience and
vulnerability of permafrost to climate change, Can. J. Forest Res., 40,
1219–1236, https://doi.org/10.1139/X10-060, 2010.
Jorgenson, M. T., Harden, J., Kanevskiy, M., O'Donnell, J., Wickland, K.,
Ewing, S., Manies, K., Zhuang, Q., Shur, Y., Striegl, R., and Koch, J.:
Reorganization of vegetation, hydrology and soil carbon after permafrost
degradation across heterogeneous boreal landscapes, Environ. Res. Lett., 8,
035017, https://doi.org/10.1088/1748-9326/8/3/035017, 2013.
Kane, D. L., Hinkel, K. M., Goering, D. J., Hinzman, L. D., and Outcalt, S.
I.: Non-conductive heat transfer associated with frozen soils, Global Planet.
Change, 29, 275–292, https://doi.org/10.1016/S0921-8181(01)00095-9, 2001.
Kemppinen, J., Niittynen, P., Riihimäki, H., and Luoto, M.: Modelling
soil moisture in a high-latitude landscape using LiDAR and soil data, Earth
Surf. Proc. Land., 43, 1019–1031, https://doi.org/10.1002/esp.4301,
2018.
Kurylyk, B. L., MacQuarrie, K. T. B., and McKenzie, J. M.: Climate change
impacts on groundwater and soil temperatures in cold and temperature
regions: implications, mathematical theory, and emerging simulation tools,
Earth-Sci. Rev., 138, 313–334,
https://doi.org/10.1016/j.earscirev.2014.06.006, 2014.
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.
Liaw, A. and Wiener, M.: Classification and regression by randomForest, R
news 2, 18–22, 2002.
Liljedahl, A. K., Boike J., Daanen, R. P., Fedorov, A. N., Frost, G. V.,
Grosse, G., Hinzman, L. D., Iijma, Y., Jorgenson, J. C., Matveyeva, N.,
Necsoiu, M., Raynolds, M. K., Romanovsky, V. E., Schulla, J., Tape, K. D.,
Walker, D. A., Wilson, C. J., Yabuki, H., and Zona, D.: Pan-Arctic ice-wedge
degradation in warming permafrost and its influence on tundra hydrology,
Nat. Geosci., 9, 312–319, https://doi.org/10.1038/ngeo2674, 2016.
Luo, D., Wu, Q., Jin, H., Marchenko, S. S., Lü, L., and Gao, S.: Recent
changes in the active layer thickness across the northern hemisphere,
Environ. Earth Sci., 75, 555, https://doi.org/10.1007/s12665-015-5229-2,
2016.
Marmion, M., Parviainen, M., Luoto, M., Heikkinen, R. K., and Thuiller, W.:
Evaluation of consensus methods in predictive species distribution
modelling, Divers. Distrib., 15, 59–69,
https://doi.org/10.1111/j.1472-4642.2008.00491.x, 2009.
Marmy, A., Salzmann, N., Scherler, M., and Hauck, C.: Permafrost model
sensitivity to seasonal climatic changes and extreme events in mountainous
regions, Env. Res. Lett., 8, 035048,
https://doi.org/10.1088/1748-9326/8/3/035048, 2013.
McCullagh, P. and Nelder, J.: Generalized Linear Models, 2nd edn,
Chapman-Hall, London, 1989.
McCune, B. and Keon, D.: Equations for potential annual direct incident
radiation and heat load, J. Veg. Sci., 13, 603–606,
https://doi.org/10.1111/j.1654-1103.2002.tb02087.x, 2002.
Melnikov, E. S., Leibman, M. O., Moskalenko, N. G., and Vasiliev, A. A.:
Active-layer monitoring in the cryolithozone of West Siberia, Polar
Geography, 28, 267–285, https://doi.org/10.1080/789610206, 2004.
Morse, P. D., Burn, C. R., and Kokelj, S. V.: Influence of snow on
near-surface ground temperatures in upland and alluvial environments of the
outer Mackenzie Delta, Northwest Territories, Can. J. Earth Sci., 49,
895–913, https://doi.org/10.1139/E2012-012, 2012.
Nakagawa, S. and Cuthill, I. C.: Effect size, confidence interval and
statistical significance: a practical guide for biologists, Biol. Rev., 82,
591–605, https://doi.org/10.1111/j.1469-185X.2007.00027.x, 2007.
Oelke, C., Zhang, T., Serreze, M. C., and Armstrong, R. L.: Regional-scale
modeling of soil freeze/thaw over the Arctic drainage basin, J. Geophys.
Res., 108, 4314, https:/doi.org/10.1029/2002JD002722, 2003.
Osterkamp, T. E.: Characteristics of the recent warming of permafrost in
Alaska, J. Geophys. Res., 112, F02S02, https://doi.org/10.1029/2006JF000578,
2007.
Park, H., Walsh, J., Fedorov, A. N., Sherstiukov, A. B., Iijima, Y., and Ohata, T.: The influence of
climate and hydrological variables on opposite anomaly in active-layer thickness between Eurasian and North American watersheds,
The Cryosphere, 7, 631–645, https://doi.org/10.5194/tc-7-631-2013, 2013.
Peng, X., Zhang, T., Frauenfeld, O. W., Wang, K., Luo, D., Cao, B., Su, H.,
Jun, H., and Wu, Q.: Spatiotemporal changes in active layer thickness under
contemporary and projected climate in the Northern Hemisphere, J. Climate, 31,
251–266, https://doi.org/10.1175/JCLI-D-16-0721.1, 2018.
R Core Team: R: A language and environment for statistical computing, R
Foundation for Statistical Computing, Vienna, Austria,
available at: https://www.r-project.org/, last access: 10 December 2015.
Romanovsky, V. E. and Osterkamp, T. E.: Effects of unfrozen water on heat
and mass transport processes in the active layer and permafrost, Permafrost
Periglac., 11, 219–239, 2000.
Romanovsky, V. E., Smith, S. L., and Christiansen, H. H.: Permafrost thermal
state in the polar northern hemisphere during the International Polar Year
2007–2009: a synthesis, Permafrost Periglac., 21, 106–116,
https://doi.org/10.1002/ppp.689, 2010.
Romanovsky, V. E., Smith, S. L., Shiklomanov, N. I., Streletskiy, D. A.,
Isaksen, K., Kholodov, A. L., Christiansen, H. H., Drozdov, D. S., Malkova,
G. V., and Marchenko, S. S.: Terrestrial permafrost, B. Am.
Meteorol. Soc., 98, 147–149,
https://doi.org/10.1175/2017BAMSStateoftheClimate.1, 2017.
Sheffield, J., Goteti, G., and Wood, E. F.: Development of a 50-year
high-resolution global dataset of meteorological forcings for land surface
modeling, J. Climate, 19, 3088–3111, https://doi.org/10.1175/JCLI3790.1,
2006 (data available at: http://hydrology.princeton.edu/data.pgf.php, last access: 5 February 2016).
Shiklomanov, N. I.: Non-climatic factors and long-term, continental-scale
changes in seasonally frozen ground, Environ. Res. Lett., 7, 011003,
https://doi.org/10.1088/1748-9326/7/1/011003, 2012.
Smith, M. W. and Riseborough, D. W.: Permafrost monitoring and detection of
climate change, Permafrost Periglac., 7, 301–309, 1996.
Smith, S. and Burgess, M.: Ground temperature database for Northern Canada,
Geological Survey of Canada, Open File Report 3954,
https://doi.org/10.4095/211804, 2000.
Smith, M. W. and Riseborough, D. W.: Climate and the limits of permafrost: a
zonal analysis, Permafrost Periglac., 13, 1–15,
https://doi.org/10.1002/ppp.410, 2002.
Smith, S. L., Wolfe, S. A., Riseborough, D. W., and Nixon, M.: Active-layer
characteristics and summer climate indices, Mackenzie Valley, Northwest
Territories, Canada, Permafrost Periglac., 20, 201–220,
https://doi.org/10.1002/ppp.651, 2009.
Streletskiy, D. A., Anisimov, O., and Vasiliev, A.: Permafrost degradation,
in: Snow and ice-related hazards, risks and disasters, edited by: Haeberli, W. and
Whiteman, C., Elsevier, 303–344, 2015.
Throop, J., Lewkowicz, A. G., and Smith, S. L.: Climate and ground
temperature relations at sites across the continuous and discontinuous
permafrost zones, northern Canada, Can. J. Earth Sci., 49, 865–876,
https://doi.org/10.1139/e11-075, 2012.
Thuiller, W., Lafourcade, B., Engler, R., and Araújo, M. B.: BIOMOD – a
platform for ensemble forecasting of species distribution, Ecography, 32,
369–373, https://doi.org/10.1111/j.1600-0587.2008.05742.x, 2009.
United States Geological Survey: Shuttle Radar Topography Mission, 30 Arc Second Scene SRTM_GTOPO_u30_mosaic,
Global Land Cover Facility, University of Maryland, available at: http://glcf.umd.edu/data/srtm (last access: 22 October 2015), 2004.
Vincent, W. F., Lemay, M., and Allard, M.: Arctic permafrost landscapes in
transition: towards integrated Earth system approach, Arctic Science, 3,
39–64, https://doi.org/10.1139/as-2016-0027, 2017.
Westermann, S., Boike, J., Langer, M., Schuler, T. V., and Etzelmüller, B.: Modeling the impact of wintertime rain
events on the thermal regime of permafrost, The Cryosphere, 5, 945–959, https://doi.org/10.5194/tc-5-945-2011, 2011.
Westermann, S., Duguay, C. R., Grosse, G., and Kääb, A.: Remote
sensing of permafrost and frozen ground, in: Remote Sensing of the
Cryosphere, edited by: Tedesco, M., Wiley, 307–344, 2015.
Woo, M.: Permafrost Hydrology, Springer-Verlag, Berlin Heidelberg, 2012.
Wood, S. N.: Fast stable restricted maximum likelihood and marginal
likelihood estimation of semiparametric generalized linear models, J. R.
Stat. Soc. B, 73, 3–36, 2011.
Wu, Q., Zhang, T., and Liu, Y.: Thermal state of the active layer and permafrost along the Qinghai-Xizang (Tibet) Railway
from 2006 to 2010, The Cryosphere, 6, 607–612, https://doi.org/10.5194/tc-6-607-2012, 2012.
Zhang, T.: Influence of the seasonal snow cover on the ground thermal
regime: an overview, Rev. Geophys., 43, RG4002, https://doi.org/10.1029/2004RG000157, 2005.
Zhang, T., Osterkamp, T. E., and Stamnes, K.: Effects of climate on the
active layer and permafrost on the North Slope of Alaska, USA, Permafrost
Periglac., 8, 45–67, 1997.
Zhang, T., Chen, W., Smith, S. L., Riseborough, D. W., and Cihlar, J.: Soil
temperature in Canada during the twentieth century: complex responses to
atmospheric climate change, J. Geophys. Res, 110, D03112,
https://doi.org/10.1029/2004JD004910, 2005.
Zhang, Y., Chen, W., and Cihlar, J.: A process-based model for quantifying
the impact of climate change on permafrost thermal regimes, J. Geophys.
Res., 108, 4695, https://doi.org/10.1029/2002JD003354, 2003.
Zhang, Y., Sherstiukov, A. B., Qian, B., Kokelj, S. V., and Lantz, T. C.:
Impacts of snow on soil temperature observed across the circumpolar north,
Environ. Res. Lett., 13, 044012, https://doi.org/10.1088/1748-9326/aab1e7,
2018.
Yi, Y., Kimball, J. S., Chen, R. H., Moghaddam, M., Reichle, R. H., Mishra, U., Zona, D., and Oechel, W. C.:
Characterizing permafrost active layer dynamics and sensitivity to landscape spatial heterogeneity in Alaska,
The Cryosphere, 12, 145–161, https://doi.org/10.5194/tc-12-145-2018, 2018.
Yin, G., Niu, F., Lin, Z., Luo, J., and Liu, M.: Effects of local factors
and climate on permafrost conditions and distribution in Beiluhe basin,
Qinghai-Tibet Plateau, China, Sci. Total Environ., 581–582, 472–485,
https://doi.org/10.1016/j.scitotenv.2016.12.155, 2017.
Short summary
Using a statistical modelling framework, we examined the environmental factors controlling ground thermal regimes inside and outside the Northern Hemisphere permafrost domain. We found that climatic factors were paramount in both regions, but with varying relative importance and effect size. The relationships were often non-linear, especially in permafrost conditions. Our results suggest that these non-linearities should be accounted for in future ground thermal models at the hemisphere scale.
Using a statistical modelling framework, we examined the environmental factors controlling...
