Articles | Volume 16, issue 3
https://doi.org/10.5194/essd-16-1425-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-16-1425-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Mar 2024
Data description paper |
| 15 Mar 2024
| 15 Mar 2024
An observational network of ground surface temperature under different land-cover types on the northeastern Qinghai–Tibet Plateau
Raul-David Şerban
CORRESPONDING AUTHOR
Faculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Bolzano 39100, Italy
Institute for Alpine Environment, Eurac Research, Bolzano 39100, Italy
National Key Laboratory of Cryosphere Science and Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Huijun Jin
CORRESPONDING AUTHOR
National Key Laboratory of Cryosphere Science and Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
School of Civil Engineering and Transportation, Permafrost Institute, and China-Russia Joint Laboratory of Cold Regions Engineering and Environment, Northeast Forestry University, Harbin 150090, China
Mihaela Şerban
Applied Geomorphology and Interdisciplinary Research Centre, Department of Geography, West University of Timişoara, Timişoara 300223, Romania
Giacomo Bertoldi
Institute for Alpine Environment, Eurac Research, Bolzano 39100, Italy
Dongliang Luo
National Key Laboratory of Cryosphere Science and Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Qingfeng Wang
National Key Laboratory of Cryosphere Science and Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
National Key Laboratory of Cryosphere Science and Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Ruixia He
National Key Laboratory of Cryosphere Science and Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Xiaoying Jin
School of Civil Engineering and Transportation, Permafrost Institute, and China-Russia Joint Laboratory of Cold Regions Engineering and Environment, Northeast Forestry University, Harbin 150090, China
Xinze Li
National Key Laboratory of Cryosphere Science and Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
College of Engineering, China University of Petroleum-Beijing, Karamayi 834000, China
Jianjun Tang
School of Civil Engineering and Transportation, Permafrost Institute, and China-Russia Joint Laboratory of Cold Regions Engineering and Environment, Northeast Forestry University, Harbin 150090, China
Hongwei Wang
National Key Laboratory of Cryosphere Science and Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
School of Civil Engineering and Transportation, Permafrost Institute, and China-Russia Joint Laboratory of Cold Regions Engineering and Environment, Northeast Forestry University, Harbin 150090, China
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Domain: ESSD – Ice | Subject: Permafrost
The first hillslope thermokarst inventory for the permafrost region of the Qilian Mountains
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Modern air, englacial and permafrost temperatures at high altitude on Mt Ortles (3905 m a.s.l.), in the eastern European Alps
A new 2010 permafrost distribution map over the Qinghai–Tibet Plateau based on subregion survey maps: a benchmark for regional permafrost modeling
Xiaoqing Peng, Guangshang Yang, Oliver W. Frauenfeld, Xuanjia Li, Weiwei Tian, Guanqun Chen, Yuan Huang, Gang Wei, Jing Luo, Cuicui Mu, and Fujun Niu
Earth Syst. Sci. Data, 16, 2033–2045, https://doi.org/10.5194/essd-16-2033-2024, https://doi.org/10.5194/essd-16-2033-2024, 2024
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It is important to know about the distribution of thermokarst landscapes. However, most work has been done in the permafrost regions of the Qinghai–Tibetan Plateau, except for the Qilian Mountains in the northeast. Here we used satellite images and field work to investigate and analyze its potential driving factors. We found a total of 1064 hillslope thermokarst (HT) features in this area, and 82 % were initiated in the last 10 years. These findings will be significant for the next predictions.
Soraya Kaiser, Julia Boike, Guido Grosse, and Moritz Langer
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-393, https://doi.org/10.5194/essd-2023-393, 2024
Revised manuscript accepted for ESSD
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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 damages and possible implications for Arctic communities facing permafrost challenges.
Luca Carturan, Fabrizio De Blasi, Roberto Dinale, Gianfranco Dragà, Paolo Gabrielli, Volkmar Mair, Roberto Seppi, David Tonidandel, Thomas Zanoner, Tiziana Lazzarina Zendrini, and Giancarlo Dalla Fontana
Earth Syst. Sci. Data, 15, 4661–4688, https://doi.org/10.5194/essd-15-4661-2023, https://doi.org/10.5194/essd-15-4661-2023, 2023
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This paper presents a new dataset of air, englacial, soil surface and rock wall temperatures collected between 2010 and 2016 on Mt Ortles, which is the highest summit of South Tyrol, Italy. Details are provided on instrument type and characteristics, field methods, and data quality control and assessment. The obtained data series are available through an open data repository. This is a rare dataset from a summit area lacking observations on permafrost and glaciers and their climatic response.
Zetao Cao, Zhuotong Nan, Jianan Hu, Yuhong Chen, and Yaonan Zhang
Earth Syst. Sci. Data, 15, 3905–3930, https://doi.org/10.5194/essd-15-3905-2023, https://doi.org/10.5194/essd-15-3905-2023, 2023
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This study provides a new 2010 permafrost distribution map of the Qinghai–Tibet Plateau (QTP), using an effective mapping approach based entirely on satellite temperature data, well constrained by survey-based subregion maps, and considering the effects of local factors. The map shows that permafrost underlies about 41 % of the total QTP. We evaluated it with borehole observations and other maps, and all evidence indicates that this map has excellent accuracy.
Cited articles
Aalto, J., Le Roux, P. C., and Luoto, M.: Vegetation mediates soil temperature and moisture in arctic-alpine environments, Arctic, Antarct. Alp. Res., 45, 429–439, https://doi.org/10.1657/1938-4246-45.4.429, 2013.
Akaike, H.: A new look at the statistical model identification, IEEE Trans. Automat. Contr., 19, 716–723, https://doi.org/10.1109/TAC.1974.1100705, 1974.
Apaloo, J., Brenning, A., and Bodin, X.: Interactions between seasonal snow cover, ground surface temperature and topography (Andes of Santiago, Chile, 33.5° S), Permafr. Periglac. Process., 23, 277–291, https://doi.org/10.1002/ppp.1753, 2012.
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, 1–11, https://doi.org/10.1038/s41467-018-08240-4, 2019.
Bosson, J. B., Deline, P., Bodin, X., Schoeneich, P., Baron, L., Gardent, M., and Lambiel, C.: The influence of ground ice distribution on geomorphic dynamics since the Little Ice Age in proglacial areas of two cirque glacier systems, Earth Surf. Process. Landforms, 40, 666–680, https://doi.org/10.1002/esp.3666, 2015.
Cao, B., Zhang, T., Peng, X., Mu, C., Wang, Q., Zheng, L., Wang, K., and Zhong, X.: Thermal characteristics and recent changes of permafrost in the upper reaches of the Heihe River Basin, Western China, J. Geophys. Res.-Atmos., 123, 7935–7949, https://doi.org/10.1029/2018JD028442, 2018.
Cao, B., Zhang, T., Wu, Q., Sheng, Y., Zhao, L., and Zou, D.: Brief communication: Evaluation and inter-comparisons of Qinghai–Tibet Plateau permafrost maps based on a new inventory of field evidence, The Cryosphere, 13, 511–519, https://doi.org/10.5194/tc-13-511-2019, 2019a.
Cao, B., Zhang, T., Wu, Q., Sheng, Y., Zhao, L., and Zou, D.: Permafrost zonation index map and statistics over the Qinghai–Tibet Plateau based on field evidence, Permafr. Periglac. Process., 30, 178–194, https://doi.org/10.1002/ppp.2006, 2019b.
Cao, B., Wang, S., Hao, J., Sun, W., and Zhang, K.: Inconsistency and correction of manually observed ground surface temperatures over snow-covered regions, Agric. For. Meteorol., 338, 109518, https://doi.org/10.1016/j.agrformet.2023.109518, 2023.
Cao, Z., Nan, Z., Hu, J., Chen, Y., and Zhang, Y.: A new 2010 permafrost distribution map over the Qinghai–Tibet Plateau based on subregion survey maps: a benchmark for regional permafrost modeling, Earth Syst. Sci. Data, 15, 3905–3930, https://doi.org/10.5194/essd-15-3905-2023, 2023.
Christiansen, H., Humlum, O., and Eckerstorfer, M.: Central svalbard 2000-2011 meteorological dynamics and periglacial landscape response, Arctic, Antarct. Alp. Res., 45, 6–18, https://doi.org/10.1657/1938-4246-45.16, 2013.
Colombo, N., Ferronato, C., Vittori Antisari, L., Marziali, L., Salerno, F., Fratianni, S., D'Amico, M. E., Ribolini, A., Godone, D., Sartini, S., Paro, L., Morra di Cella, U., and Freppaz, M.: A rock-glacier – pond system (NW Italian Alps): Soil and sediment properties, geochemistry, and trace-metal bioavailability, Catena, 194, 104700, https://doi.org/10.1016/j.catena.2020.104700, 2020.
Cui, Y., Xu, W., Zhou, Z., Zhao, C., Ding, Y., Ao, X., and Zhou, X.: Bias analysis and correction of ground surface temperature observations across China, J. Meteorol. Res., 34, 1324–1334, https://doi.org/10.1007/s13351-020-0031-9, 2020.
Du, M., Kawashima, S., Yonemura, S., Yamada, T., Zhang, X., Liu, J., Li, Y., Gu, S., and Tang, Y.: Temperature distribution in the high mountain regions on the Tibetan Plateau - Measurement and simulation, in: MODSIM07 – Land, Water and Environmental Management: Integrated Systems for Sustainability, Proceedings, 2146–2152, 2007.
Etzelmüller, B., Farbrot, H., Guðmundsson, Á., Humlum, O., Tveito, O. E., and Björnsson, H.: The regional distribution of mountain permafrost in Iceland, Permafr. Periglac. Process., 18, 185–199, https://doi.org/10.1002/ppp.583, 2007.
Ferreira, A., Vieira, G., Ramos, M., and Nieuwendam, A.: Ground temperature and permafrost distribution in Hurd Peninsula (Livingston Island, Maritime Antarctic): An assessment using freezing indexes and TTOP modelling, Catena, 149, 560–571, https://doi.org/10.1016/j.catena.2016.08.027, 2017.
Gisnås, K., Westermann, S., Schuler, T. V., Litherland, T., Isaksen, K., Boike, J., and Etzelmüller, B.: A statistical approach to represent small-scale variability of permafrost temperatures due to snow cover, The Cryosphere, 8, 2063–2074, https://doi.org/10.5194/tc-8-2063-2014, 2014.
Gizatullin, R., Dvoynikov, M., Romanova, N., and Nikitin, V.: Drilling in gas hydrates: Managing gas appearance risks, Energies, 16, 2387, https://doi.org/10.3390/en16052387, 2023.
Goncharova, O. Y., Matyshak, G. V., Epstein, H. E., Sefilian, A. R., and Bobrik, A. A.: Influence of snow cover on soil temperatures: Meso- and micro-scale topographic effects (a case study from the northern West Siberia discontinuous permafrost zone), Catena, 183, https://doi.org/10.1016/j.catena.2019.104224, 2019.
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.
Gubler, S., Fiddes, J., Keller, M., and Gruber, S.: Scale-dependent measurement and analysis of ground surface temperature variability in alpine terrain, Cryosphere, 5, 431–443, https://doi.org/10.5194/tc-5-431-2011, 2011.
Guglielmin, M., Ellis Evans, C. J., and Cannone, N.: Active layer thermal regime under different vegetation conditions in permafrost areas. A case study at Signy Island (Maritime Antarctica), Geoderma, 144, 73–85, https://doi.org/10.1016/j.geoderma.2007.10.010, 2008.
Hagedorn, F., Gavazov, K., and Alexander, J. M.: Above- and belowground linkages shape responses of mountain vegetation to climate change, Science, 365, 1119–1123, https://doi.org/10.1126/science.aax4737, 2019.
Hauck, C., Isaksen, K., Mühll, D. V., and Sollid, J. L.: Geophysical surveys designed to delineate the altitudinal limit of mountain permafrost: An example from Jotunheimen, Norway, Permafr. Periglac. Process., 15, 191–205, https://doi.org/10.1002/ppp.493, 2004.
Heggem, E. S. F., Etzelmüller, B., Anarmaa, S., Sharkhuu, N., Goulden, C. E., and Nandinsetseg, B.: Spatial distribution of ground surface temperatures and active layer depths in the Hövsgöl area, northern Mongolia, Permafr. Periglac. Process., 17, 357–369, https://doi.org/10.1002/ppp.568, 2006.
Hrbáček, F., Oliva, M., Fernández, J. R., Kòažková, M., and de Pablo, M. A.: Modelling ground thermal regime in bordering (dis)continuous permafrost environments, Environ. Res., 181, 108901, https://doi.org/10.1016/j.envres.2019.108901, 2020.
Ikeda, A.: Combination of conventional geophysical methods for sounding the composition of rock glaciers in the Swiss Alps, Permafr. Periglac. Process., 17, 35–48, https://doi.org/10.1002/ppp.550, 2006.
Isaksen, K., Ødegård, R. S., Etzelmüller, B., Hilbich, C., Hauck, C., Farbrot, H., Eiken, T., Hygen, H. O., and Hipp, T. F.: Degrading mountain permafrost in Southern Norway: Spatial and temporal variability of mean ground temperatures, 1999–2009, Permafr. Periglac. Process., 22, 361–377, https://doi.org/10.1002/ppp.728, 2011.
Ishikawa, M.: Thermal regimes at the snow-ground interface and their implications for permafrost investigation, Geomorphology, 52, 105–120, https://doi.org/10.1016/S0169-555X(02)00251-9, 2003.
Jiao, M., Zhao, L., Wang, C., Hu, G., Li, Y., Zhao, J., Zou, D., Xing, Z., Qiao, Y., Liu, G., Du, E., Xiao, M., and Hou, Y.: Spatiotemporal variations of soil temperature at 10 and 50 cm depths in permafrost regions along the Qinghai-Tibet Engineering Corridor, Remote Sens., 15, 455, https://doi.org/10.3390/rs15020455, 2023.
Jin, H., Li, S., Cheng, G., Shaoling, W., and Li, X.: Permafrost and climatic change in China, Glob. Planet. Change, 26, 387–404, https://doi.org/10.1016/S0921-8181(00)00051-5, 2000.
Jin, H., Zhao, L., Wang, S., and Jin, R.: Thermal regimes and degradation modes of permafrost along the Qinghai-Tibet Highway, Sci. China Ser. D Earth Sci., 49, 1170–1183, https://doi.org/10.1007/s11430-006-2003-z, 2006.
Jin, H., Wei, Z., Wang, S., Yu, Q., Lü, L., Wu, Q., and Ji, Y.: Assessment of frozen-ground conditions for engineering geology along the Qinghai-Tibet highway and railway, China, Eng. Geol., 101, 96–109, https://doi.org/10.1016/j.enggeo.2008.04.001, 2008.
Jin, H., He, R., Cheng, G., Wu, Q., Wang, S., Lü, L., and Chang, X.: Changes in frozen ground in the Source Area of the Yellow River on the Qinghai–Tibet Plateau, China, and their eco-environmental impacts, Environ. Res. Lett., 4, 045206, https://doi.org/10.1088/1748-9326/4/4/045206, 2009.
Jin, X., Jin, H., Luo, D., Sheng, Y., Wu, Q., Wu, J., Wang, W., Huang, S., Li, X., Liang, S., Wang, Q., He, R., Serban, R. D., Ma, Q., Gao, S., and Li, Y.: Impacts of permafrost degradation on hydrology and vegetation in the Source Area of the Yellow River on Northeastern Qinghai-Tibet Plateau, Southwest China, Front. Earth Sci., 10, 1–12, https://doi.org/10.3389/feart.2022.845824, 2022.
Klotz, L. A., Sonnentag, O., Wang, Z., Wang, J. A., and Kang, M.: Oil and natural gas wells across the NASA ABoVE domain: fugitive methane emissions and broader environmental impacts, Environ. Res. Lett., 18, 035008, https://doi.org/10.1088/1748-9326/acbe52, 2023.
Kutasov, I. M. and Eppelbaum, L. V.: Utilization of the Horner plot for determining the temperature of frozen formations – A novel approach, Geothermics, 71, 259–263, https://doi.org/10.1016/j.geothermics.2017.10.005, 2018.
Lewkowicz, A. G.: Evaluation of miniature temperature-loggers to monitor snowpack evolution at mountain permafrost sites, northwestern Canada, Permafr. Periglac. Process., 19, 323–331, https://doi.org/10.1002/ppp.625, 2008.
Li, X., Perry, G., and Brierley, G. J.: Grassland ecosystems of the Yellow River Source Zone: Degradation and restoration, in: Landscape and Ecosystem Diversity, Dynamics and Management in the Yellow River Source Zone. Springer Geography., edited by: Brierley, G. J., Li, X., Cullum, C., and Gao, J., Springer, Cham, 137–165, https://doi.org/10.1007/978-3-319-30475-5_7, 2016.
Li, Y., Zhang, C., Li, Z., Yang, L., Jin, X., and Gao, X.: Analysis on the temporal and spatial characteristics of the shallow soil temperature of the Qinghai-Tibet Plateau, Sci. Rep., 12, 19746, https://doi.org/10.1038/s41598-022-23548-4, 2022.
Lim, H. S., Kim, H. C., Kim, O. S., Jung, H., Lee, J., and Hong, S. G.: Statistical understanding for snow cover effects on near-surface ground temperature at the margin of maritime Antarctica, King George Island, Geoderma, 410, 115661, https://doi.org/10.1016/j.geoderma.2021.115661, 2022.
Luo, D., Jin, H., He, R., Wang, X., Muskett, R. R., Marchenko, S. S., and Romanovsky, V. E.: Characteristics of water-heat exchanges and inconsistent surface temperature changes at an elevational permafrost site on the Qinghai-Tibet Plateau, J. Geophys. Res.-Atmos., 123, 10057–10075, https://doi.org/10.1029/2018JD028298, 2018a.
Luo, D., Jin, H., Jin, X., He, R., Li, X., Muskett, R. R., Marchenko, S. S., and Romanovsky, V. E.: Elevation-dependent thermal regime and dynamics of frozen ground in the Bayan Har Mountains, northeastern Qinghai-Tibet Plateau, southwest China, Permafr. Periglac. Process., 29, 257–270, https://doi.org/10.1002/ppp.1988, 2018b.
Luo, D., Jin, H., and Bense, V. F.: Ground surface temperature and the detection of permafrost in the rugged topography on NE Qinghai-Tibet Plateau, Geoderma, 333, 57–68, https://doi.org/10.1016/j.geoderma.2018.07.011, 2019.
Luo, D., Liu, L., Jin, H., Wang, X., and Chen, F.: Characteristics of ground surface temperature at Chalaping in the Source Area of the Yellow River, northeastern Tibetan Plateau, Agric. For. Meteorol., 281, 107819, https://doi.org/10.1016/j.agrformet.2019.107819, 2020.
Luo, L., Ma, W., Zhuang, Y., Zhang, Y., Yi, S., Xu, J., Long, Y., Ma, D., and Zhang, Z.: The impacts of climate change and human activities on alpine vegetation and permafrost in the Qinghai-Tibet Engineering Corridor, Ecol. Indic., 93, 24–35, https://doi.org/10.1016/j.ecolind.2018.04.067, 2018.
Messenzehl, K. and Dikau, R.: Structural and thermal controls of rockfall frequency and magnitude within rockwall–talus systems (Swiss Alps), Earth Surf. Process. Landforms, 42, 1963–1981, https://doi.org/10.1002/esp.4155, 2017.
Nelson, J. and Outcalt, S.: A Computational method for prediction and regionalization of permafrost, Arct. Alp. Res., 19, 279–288, https://doi.org/10.1080/00040851.1987.12002602, 1987.
Noetzli, J., Arenson, L. U., Bast, A., Beutel, J., Delaloye, R., Farinotti, D., Gruber, S., Gubler, H., Haeberli, W., Hasler, A., Hauck, C., Hiller, M., Hoelzle, M., Lambiel, C., Pellet, C., Springman, S. M., Vonder Muehll, D., and Phillips, M.: Best practice for measuring permafrost temperature in boreholes based on the experience in the Swiss Alps, Front. Earth Sci., 9, 1–20, https://doi.org/10.3389/feart.2021.607875, 2021.
Oliva, M., Hrbacek, F., Ruiz-Fernández, J., de Pablo, M. Á., Vieira, G., Ramos, M., and Antoniades, D.: Active layer dynamics in three topographically distinct lake catchments in Byers Peninsula (Livingston Island, Antarctica), Catena, 149, 548–559, https://doi.org/10.1016/j.catena.2016.07.011, 2017.
Onaca, A., Ardelean, A. C., Urdea, P., Ardelean, F., and Sîrbu, F.: Detection of mountain permafrost by combining conventional geophysical methods and thermal monitoring in the Retezat Mountains, Romania, Cold Reg. Sci. Technol., 119, 111–123, https://doi.org/10.1016/j.coldregions.2015.08.001, 2015.
Qin, Y., Zhang, P., Liu, W., Guo, Z., and Xue, S.: The application of elevation corrected MERRA2 reanalysis ground surface temperature in a permafrost model on the Qinghai-Tibet Plateau, Cold Reg. Sci. Technol., 175, 103067, https://doi.org/10.1016/j.coldregions.2020.103067, 2020.
Ran, Y., Li, X., Cheng, G., Che, J., Aalto, J., Karjalainen, O., Hjort, J., Luoto, M., Jin, H., Obu, J., Hori, M., Yu, Q., and Chang, X.: New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere, Earth Syst. Sci. Data, 14, 865–884, https://doi.org/10.5194/essd-14-865-2022, 2022.
Rödder, T. and Kneisel, C.: Influence of snow cover and grain size on the ground thermal regime in the discontinuous permafrost zone, Swiss Alps, Geomorphology, 175–176, 176–189, https://doi.org/10.1016/j.geomorph.2012.07.008, 2012.
Şerban, M., Li, G., Serban, R.-D., Wang, F., Fedorov, A., Vera, S., Cao, Y., Chen, P., and Wang, W.: Characteristics of the active-layer under the China-Russia crude oil pipeline, J. Mt. Sci., 18, 323–337, https://doi.org/10.1007/s11629-020-6240-y, 2021.
Şerban, R.-D. and Jin, H.: Multiscale observation of topsoil temperature below different landcover types on northeastern Qinghai-Tibet Plateau (2019–2020), National Tibetan Plateau/Third Pole Environment Data Center [data set], https://doi.org/10.11888/Cryos.tpdc.272945, 2022.
Şerban, R.-D., Jin, H., Şerban, M., Luo, D., Wang, Q., Jin, X., and Ma, Q.: Mapping thermokarst lakes and ponds across permafrost landscapes in the Headwater Area of Yellow River on northeastern Qinghai-Tibet Plateau, Int. J. Remote Sens., 41, 7042–7067, https://doi.org/10.1080/01431161.2020.1752954, 2020.
Şerban, R.-D., Jin, H., Şerban, M., and Luo, D.: Shrinking thermokarst lakes and ponds on the northeastern Qinghai-Tibet Plateau over the past three decades, Permafr. Periglac. Process., 32, 601–617, https://doi.org/10.1002/ppp.2127, 2021.
Şerban, R.-D., Bertoldi, G., Jin, H., Şerban, M., Luo, D., and Li, X.: Spatial variations in ground surface temperature at various scales on the northeastern Qinghai-Tibet Plateau, China, Catena, 222, 106811, https://doi.org/10.1016/j.catena.2022.106811, 2023.
Sheng, Y., Ma, S., Cao, W., and Wu, J.: Spatiotemporal changes of permafrost in the Headwater Area of the Yellow River under a changing climate, L. Degrad. Dev., 31, 133–152, https://doi.org/10.1002/ldr.3434, 2020.
Smith, M. W. and Riseborough, D. W.: Climate and the limits of permafrost: a zonal analysis, Permafr. Periglac. Process., 13, 1–15, https://doi.org/10.1002/ppp.410, 2002.
Vieira, G., Mora, C., and Faleh, A.: New observations indicate the possible presence of permafrost in North Africa (Djebel Toubkal, High Atlas, Morocco), The Cryosphere, 11, 1691–1705, https://doi.org/10.5194/tc-11-1691-2017, 2017.
Wang, T., Wang, N., and Li, S.: Map of the glaciers, frozen ground and deserts in China, 1:4 000 000, Chinese Map Press, Beijing, China, 2005 (in Chinese).
Wani, J. M., Thayyen, R. J., Gruber, S., Ojha, C. S. P., and Stumm, D.: Single-year thermal regime and inferred permafrost occurrence in the upper Ganglass catchment of the cold-arid Himalaya, Ladakh, India, Sci. Total Environ., 703, 134631, https://doi.org/10.1016/j.scitotenv.2019.134631, 2020.
Way, R. G. and Lewkowicz, A. G.: Environmental controls on ground temperature and permafrost in Labrador, northeast Canada, Permafr. Periglac. Process., 29, 73–85, https://doi.org/10.1002/ppp.1972, 2018.
Wu, Q. and Zhang, T.: Recent permafrost warming on the Qinghai-Tibetan Plateau, J. Geophys. Res.-Atmos., 113, D13108, https://doi.org/10.1029/2007JD009539, 2008.
Wu, Q., Zhang, T., and Liu, Y.: Permafrost temperatures and thickness on the Qinghai-Tibet Plateau, Glob. Planet. Change, 72, 32–38, https://doi.org/10.1016/j.gloplacha.2010.03.001, 2010.
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.
Xing, Z.-P., Zhao, L., Fan, L., Hu, G.-J., Zou, D.-F., Wang, C., Liu, S.-C., Du, E.-J., Xiao, Y., Li, R., Liu, G.-Y., Qiao, Y.-P., and Shi, J.-Z.: Changes in the ground surface temperature in permafrost regions along the Qinghai–Tibet engineering corridor from 1900 to 2014: A modified assessment of CMIP6, Adv. Clim. Chang. Res., 14, 85–96, https://doi.org/10.1016/j.accre.2023.01.007, 2023.
Yin, G., Niu, F., Lin, Z., Luo, J., and Liu, M.: Performance comparison of permafrost models in Wudaoliang Basin, Qinghai-Tibet Plateau, China, J. Mt. Sci., 13, 1162–1173, https://doi.org/10.1007/s11629-015-3745-x, 2016.
Zhao, L., Zou, D., Hu, G., Wu, T., Du, E., Liu, G., Xiao, Y., Li, R., Pang, Q., Qiao, Y., Wu, X., Sun, Z., Xing, Z., Sheng, Y., Zhao, Y., Shi, J., Xie, C., Wang, L., Wang, C., and Cheng, G.: A synthesis dataset of permafrost thermal state for the Qinghai–Tibet (Xizang) Plateau, China, Earth Syst. Sci. Data, 13, 4207–4218, https://doi.org/10.5194/essd-13-4207-2021, 2021.
Zhao, S. P., Nan, Z. T., Huang, Y. B., and Zhao, L.: The application and evaluation of simple permafrost distribution models on the Qinghai–Tibet Plateau, Permafr. Periglac. Process., 28, 391–404, https://doi.org/10.1002/ppp.1939, 2017.
Zhao, Y., Yao, Y., Jin, H., Cao, B., Hu, Y., Ran, Y., and Zhang, Y.: Characterizing the changes in permafrost thickness across Tibetan Plateau, Remote Sens., 15, 206, https://doi.org/10.3390/rs15010206, 2022.
Zou, D., Zhao, L., Sheng, Y., Chen, J., Hu, G., Wu, T., Wu, J., Xie, C., Wu, X., Pang, Q., Wang, W., Du, E., Li, W., Liu, G., Li, J., Qin, Y., Qiao, Y., Wang, Z., Shi, J., and Cheng, G.: A new map of permafrost distribution on the Tibetan Plateau, The Cryosphere, 11, 2527–2542, https://doi.org/10.5194/tc-11-2527-2017, 2017.
Short summary
A particular observational network for ground surface temperature (GST) has been established on the northeastern Qinghai–Tibet Plateau, covering various environmental conditions and scales. This analysis revealed the substantial influences of the land cover on the spatial variability in GST over short distances (<16 m). Improving the monitoring of GST is important for the biophysical processes at the land–atmosphere boundary and for understanding the climate change impacts on cold environments.
A particular observational network for ground surface temperature (GST) has been established on...
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