Articles | Volume 13, issue 8
https://doi.org/10.5194/essd-13-4035-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-4035-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
20 Aug 2021
Data description paper |
| 20 Aug 2021
| 20 Aug 2021
An integrated observation dataset of the hydrological and thermal deformation in permafrost slopes and engineering infrastructure in the Qinghai–Tibet Engineering Corridor
Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
State Key Laboratory of Frozen Soils Engineering, Northwest Institute
of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou
730000, China
University of Chinese Academy of Sciences, Beijing 100049, China
Yanli Zhuang
Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
University of Chinese Academy of Sciences, Beijing 100049, China
Mingyi Zhang
Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
State Key Laboratory of Frozen Soils Engineering, Northwest Institute
of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou
730000, China
University of Chinese Academy of Sciences, Beijing 100049, China
Zhongqiong Zhang
State Key Laboratory of Frozen Soils Engineering, Northwest Institute
of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou
730000, China
University of Chinese Academy of Sciences, Beijing 100049, China
Wei Ma
State Key Laboratory of Frozen Soils Engineering, Northwest Institute
of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou
730000, China
University of Chinese Academy of Sciences, Beijing 100049, China
Wenzhi Zhao
Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
University of Chinese Academy of Sciences, Beijing 100049, China
Cryosphere Research Station on Qinghai-Xizang Plateau, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Li Wang
Qinghai Institute of Meteorological Science, Xining 810001, China
Yanmei Shi
32016 PLA Troops, Lanzhou 730000, China
Ze Zhang
State Key Laboratory of Frozen Soils Engineering, Northwest Institute
of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou
730000, China
University of Chinese Academy of Sciences, Beijing 100049, China
Quntao Duan
Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
University of Chinese Academy of Sciences, Beijing 100049, China
Deyu Tian
Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
Qingguo Zhou
School of Information Science and Engineering, Lanzhou University,
Lanzhou 730000, China
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Zetao Cao, Zhuotong Nan, Jianan Hu, Yuhong Chen, and Yaonan Zhang
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Dong Wang, Tonghua Wu, Lin Zhao, Cuicui Mu, Ren Li, Xianhua Wei, Guojie Hu, Defu Zou, Xiaofan Zhu, Jie Chen, Junmin Hao, Jie Ni, Xiangfei Li, Wensi Ma, Amin Wen, Chengpeng Shang, Yune La, Xin Ma, and Xiaodong Wu
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The Third Pole regions are important components in the global permafrost, and the detailed spatial soil organic carbon data are the scientific basis for environmental protection as well as the development of Earth system models. Based on multiple environmental variables and soil profile data, this study use machine-learning approaches to evaluate the SOC storage and spatial distribution at a depth interval of 0–3 m in the frozen ground area of the Third Pole region.
Olga Makarieva, Andrey Shikhov, Nataliia Nesterova, and Andrey Ostashov
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Aufeis is formed through a complex interconnection between river water and groundwater. The dynamics of aufeis assessed by the analysis of remote sensing data can be viewed as an indicator of groundwater changes in warming climate which are otherwise difficult to be observed naturally in remote arctic areas. The spatial geodatabase developed shows that aufeis formation conditions may have changed between the mid-20th century and the present in the Indigirka River basin.
Julia Boike, Jan Nitzbon, Katharina Anders, Mikhail Grigoriev, Dmitry Bolshiyanov, Moritz Langer, Stephan Lange, Niko Bornemann, Anne Morgenstern, Peter Schreiber, Christian Wille, Sarah Chadburn, Isabelle Gouttevin, Eleanor Burke, and Lars Kutzbach
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Long-term observational data are available from the Samoylov research site in northern Siberia, where meteorological parameters, energy balance, and subsurface observations have been recorded since 1998. This paper presents the temporal data set produced between 2002 and 2017, explaining the instrumentation, calibration, processing, and data quality control. Furthermore, we present a merged dataset of the parameters, which were measured from 1998 onwards.
David Holl, Christian Wille, Torsten Sachs, Peter Schreiber, Benjamin R. K. Runkle, Lutz Beckebanze, Moritz Langer, Julia Boike, Eva-Maria Pfeiffer, Irina Fedorova, Dimitry Y. Bolshianov, Mikhail N. Grigoriev, and Lars Kutzbach
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We present a multi-annual time series of land–atmosphere carbon dioxide fluxes measured in situ with the eddy covariance technique in the Siberian Arctic. In arctic permafrost regions, climate–carbon feedbacks are amplified. Therefore, increased efforts to better represent these regions in global climate models have been made in recent years. Up to now, the available database of in situ measurements from the Arctic was biased towards Alaska and records from the Eurasian Arctic were scarce.
Kang Wang, Elchin Jafarov, Irina Overeem, Vladimir Romanovsky, Kevin Schaefer, Gary Clow, Frank Urban, William Cable, Mark Piper, Christopher Schwalm, Tingjun Zhang, Alexander Kholodov, Pamela Sousanes, Michael Loso, and Kenneth Hill
Earth Syst. Sci. Data, 10, 2311–2328, https://doi.org/10.5194/essd-10-2311-2018, https://doi.org/10.5194/essd-10-2311-2018, 2018
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Ground thermal and moisture data are important indicators of the rapid permafrost changes in the Arctic. To better understand the changes, we need a comprehensive dataset across various sites. We synthesize permafrost-related data in the state of Alaska. It should be a valuable permafrost dataset that is worth maintaining in the future. On a wider level, it also provides a prototype of basic data collection and management for permafrost regions in general.
Michael Prince, Alexandre Roy, Ludovic Brucker, Alain Royer, Youngwook Kim, and Tianjie Zhao
Earth Syst. Sci. Data, 10, 2055–2067, https://doi.org/10.5194/essd-10-2055-2018, https://doi.org/10.5194/essd-10-2055-2018, 2018
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This paper presents the weekly polar-gridded Aquarius passive L-band surface freeze–thaw product (FT-AP) distributed on the EASE-Grid 2.0 with a resolution of 36 km. To evaluate the product, we compared it with the resampled 37 GHz FT Earth Science Data Record during the overlapping period between 2011 and 2014. The FT-AP ensures, with the SMAP mission that is still in operation, an L-band passive FT monitoring continuum with NASA’s space-borne radiometers, for a period beginning in August 2011.
Julia Boike, Inge Juszak, Stephan Lange, Sarah Chadburn, Eleanor Burke, Pier Paul Overduin, Kurt Roth, Olaf Ippisch, Niko Bornemann, Lielle Stern, Isabelle Gouttevin, Ernst Hauber, and Sebastian Westermann
Earth Syst. Sci. Data, 10, 355–390, https://doi.org/10.5194/essd-10-355-2018, https://doi.org/10.5194/essd-10-355-2018, 2018
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A 20-year data record from the Bayelva site at Ny-Ålesund, Svalbard, is presented on meteorology, energy balance components, surface and subsurface observations. This paper presents the data set, instrumentation, calibration, processing and data quality control. The data show that mean annual, summer and winter soil temperature data from shallow to deeper depths have been warming over the period of record, indicating the degradation and loss of permafrost at this site.
Andrew G. Fountain, Juan C. Fernandez-Diaz, Maciej Obryk, Joseph Levy, Michael Gooseff, David J. Van Horn, Paul Morin, and Ramesh Shrestha
Earth Syst. Sci. Data, 9, 435–443, https://doi.org/10.5194/essd-9-435-2017, https://doi.org/10.5194/essd-9-435-2017, 2017
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We present detailed surface elevation measurements for the McMurdo Dry Valleys, Antarctica, and surroundings, derived from aerial lidar surveys flown in the austral summer of 2014–2015 as part of an effort to understand landscape changes over the past decade. Lidar return density varied from 2 to > 10 returns per square meter with an average of about 5 returns per square meter. vertical and horizontal accuracies are estimated to be 7 cm and 3 cm, respectively.
Sina Muster, Kurt Roth, Moritz Langer, Stephan Lange, Fabio Cresto Aleina, Annett Bartsch, Anne Morgenstern, Guido Grosse, Benjamin Jones, A. Britta K. Sannel, Ylva Sjöberg, Frank Günther, Christian Andresen, Alexandra Veremeeva, Prajna R. Lindgren, Frédéric Bouchard, Mark J. Lara, Daniel Fortier, Simon Charbonneau, Tarmo A. Virtanen, Gustaf Hugelius, Juri Palmtag, Matthias B. Siewert, William J. Riley, Charles D. Koven, and Julia Boike
Earth Syst. Sci. Data, 9, 317–348, https://doi.org/10.5194/essd-9-317-2017, https://doi.org/10.5194/essd-9-317-2017, 2017
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Waterbodies are abundant in Arctic permafrost lowlands. Most waterbodies are ponds with a surface area smaller than 100 x 100 m. The Permafrost Region Pond and Lake Database (PeRL) for the first time maps ponds as small as 10 x 10 m. PeRL maps can be used to document changes both by comparing them to historical and future imagery. The distribution of waterbodies in the Arctic is important to know in order to manage resources in the Arctic and to improve climate predictions in the Arctic.
Youngwook Kim, John S. Kimball, Joseph Glassy, and Jinyang Du
Earth Syst. Sci. Data, 9, 133–147, https://doi.org/10.5194/essd-9-133-2017, https://doi.org/10.5194/essd-9-133-2017, 2017
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A new freeze–thaw (FT) Earth system data record (ESDR) was developed from satellite passive microwave remote sensing that quantifies the daily landscape frozen or non-frozen status over a 25 km resolution global grid and 1979–2014 record. The FT-ESDR shows favorable accuracy and performance, enabling new studies of climate change and frozen season impacts on surface water mobility and ecosystem processes.
Cited articles
Arenson, L. U., Kääb, A., and O'Sullivan, A.: Detection and
Analysis of Ground Deformation in Permafrost Environments, Permafrost
Periglac., 27, 339–351, https://doi.org/10.1002/ppp.1932, 2016.
Bessette-Kirton, E. K. and Coe, J. A.: A 36-Year Record of Rock Avalanches
in the Saint Elias Mountains of Alaska, With Implications for Future
Hazards, Front. Earth Sc., 8, https://doi.org/10.3389/feart.2020.00293, 2020.
Boike, J., Nitzbon, J., Anders, K., Grigoriev, M., Bolshiyanov, D., Langer, M., Lange, S., Bornemann, N., Morgenstern, A., Schreiber, P., Wille, C., Chadburn, S., Gouttevin, I., Burke, E., and Kutzbach, L.: A 16-year record (2002–2017) of permafrost, active-layer, and meteorological conditions at the Samoylov Island Arctic permafrost research site, Lena River delta, northern Siberia: an opportunity to validate remote-sensing data and land surface, snow, and permafrost models, Earth Syst. Sci. Data, 11, 261–299, https://doi.org/10.5194/essd-11-261-2019, 2019.
Chang, J., Wang, G., Li, C., and Mao, T.: Seasonal dynamics of
suprapermafrost groundwater and its response to the freeing-thawing
processes of soil in the permafrost region of Qinghai-Tibet Plateau, Sci.
China Earth Sci., 58, 727–738, https://doi.org/10.1007/s11430-014-5009-y, 2015.
Gruber, S. and Haeberli, W.: Permafrost in steep bedrock slopes and its
temperature-related destabilization following climate change, J.
Geophys. Res., 112, F02S18, https://doi.org/10.1029/2006jf000547, 2007.
Guo, D., and Sun, J.: Permafrost Thaw and Associated Settlement Hazard Onset
Timing over the Qinghai-Tibet Engineering Corridor, Int. J.
Disast. Risk Sc., 6, 347–358, https://doi.org/10.1007/s13753-015-0072-3, 2015.
Huggel, C., Salzmann, N., Allen, S., Caplan-Auerbach, J., Fischer, L.,
Haeberli, W., Larsen, C., Schneider, D., and Wessels, R.: Recent and future
warm extreme events and high-mountain slope stability, Philos.
T. Roy. Soc. A, 368, 2435–2459, https://doi.org/10.1098/rsta.2010.0078, 2010.
Jin, H.-J., Yu, Q.-H., Wang, S.-L., and Lü, L.-Z.: Changes in permafrost
environments along the Qinghai–Tibet engineering corridor induced by
anthropogenic activities and climate warming, Cold Reg. Sci.
Technol., 53, 317–333, https://doi.org/10.1016/j.coldregions.2007.07.005, 2008.
Léger, E., Dafflon, B., Robert, Y., Ulrich, C., Peterson, J. E., Biraud, S. C., Romanovsky, V. E., and Hubbard, S. S.: A distributed temperature profiling method for assessing spatial variability in ground temperatures in a discontinuous permafrost region of Alaska, The Cryosphere, 13, 2853–2867, https://doi.org/10.5194/tc-13-2853-2019, 2019.
Liu, G., Xie, C., Zhao, L., Xiao, Y., Wu, T., Wang, W., and Liu, W.:
Permafrost warming near the northern limit of permafrost on the
Qinghai–Tibetan Plateau during the period from 2005 to 2017: A case study
in the Xidatan area, Permafrost Periglac., 32, 323–334, https://doi.org/10.1002/ppp.2089, 2020.
Luo, L., Ma, W., Zhang, Z., Zhuang, Y., Zhang, Y., Yang, J., Cao, X., Liang,
S., and Mu, Y.: Freeze/Thaw-Induced Deformation Monitoring and Assessment of
the Slope in Permafrost Based on Terrestrial Laser Scanner and GNSS, Remote
Sens.-Basel, 9, 198, https://doi.org/10.3390/rs9030198, 2017.
Luo, L., Ma, W., Zhao, W., Zhuang, Y., Zhang, Z., Zhang, M., Ma, D., and
Zhou, Q.: UAV-based spatiotemporal thermal patterns of permafrost slopes
along the Qinghai–Tibet Engineering Corridor, Landslides, 15, 2161–2172,
https://doi.org/10.1007/s10346-018-1028-7, 2018a.
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, 2018b.
Luo, L., Zhang, Z., Ma, W., Yi, S., and Zhuang, Y.: PIC v1.3: comprehensive R package for computing permafrost indices with daily weather observations and atmospheric forcing over the Qinghai–Tibet Plateau, Geosci. Model Dev., 11, 2475–2491, https://doi.org/10.5194/gmd-11-2475-2018, 2018c.
Luo, L., Ma, W., Zhang, Z., Zhuang, Y., Yang, J., Cao, X., Liang, S., and
Yi, S.: Integration of terrestrial laser scanning and soil sensors for
deformation and hydrothermal monitoring of frost mounds, Measurement, 131,
513–523, https://doi.org/10.1016/j.measurement.2018.09.020,
2019.
Luo, L., Zhuang, Y., Zhang, M., Zhang, Z., Ma, W., Zhao, W., Zhao, L., Wang,
L., Shi, Y., Zhang, Z., Duan, Q., Tian, D., and Zhou, Q.: TLS measurements
in the Qinghai-Tibet Engineering Corridor, Zenodo [data set], https://doi.org/10.5281/zenodo.5009558, 2020a.
Luo, L., Zhuang, Y., Zhang, M., Zhang, Z., Ma, W., Zhao, W., Zhao, L., Wang,
L., Shi, Y., Zhang, Z., Duan, Q., Tian, D., and Zhou, Q.: UAV RGB and TIR
images in the Qinghai-Tibet Engineering Corridor, Zenodo [data set], https://doi.org/10.5281/zenodo.5016192, 2020b.
Luo, L., Zhuang, Y., Zhang, M., Zhang, Z., Ma, W., Zhao, W., Zhao, L., Wang,
L., Shi, Y., Zhang, Z., Duan, Q., Tian, D., and Zhou, Q.: R code of
permafrost indices in the Qinghai-Tibet Engineering Corridor, Zenodo [code], https://doi.org/10.5281/zenodo.5002981, 2020c.
Luo, L., Zhuang, Y., Zhang, M., Zhang, Z., Ma, W., Zhao, W., Zhao, L., Wang,
L., Shi, Y., Zhang, Z., Duan, Q., Tian, D., and Zhou, Q.: Meteorological and
ground observations in the Qinghai-Tibet Engineering Corridor, Zenodo [data set], https://doi.org/10.5281/zenodo.5009871, 2020d.
Ma, W., Niu, F., Akagawa, S., and Jin, D.: Slope instability phenomena in
permafrost regions of Qinghai-Tibet Plateau, China, Landslides, 3, 260–264,
https://doi.org/10.1007/s10346-006-0045-0, 2006.
Ma, W., Mu, Y., Xie, S., Mao, Y., and Chen, D.: Thermal-mechanical
Influences and Environmental Effects of Expressway Construction on the
Qinghai-Tibet Permafrost Engineering Corridor, Adv. Earth Sci.,
32, 459–464, https://doi.org/10.11867/j.issn.1001-8166.2017.05.0459, 2017.
Ma, W., Mu, Y., Zhang, J., Yu, W., Zhou, Z., and Chen, T.: Lateral thermal
influences of roadway and railway embankments in permafrost zones along the
Qinghai-Tibet Engineering Corridor, Transportation Geotechnics, 21, 100285,
https://doi.org/10.1016/j.trgeo.2019.100285, 2019.
Mu, Y., Ma, W., Li, G., Niu, F., Liu, Y., and Mao, Y.: Impacts of
supra-permafrost water ponding and drainage on a railway embankment in
continuous permafrost zone, the interior of the Qinghai-Tibet Plateau, Cold
Reg. Sci. Technol., 154, 23–31, https://doi.org/10.1016/j.coldregions.2018.06.007, 2018.
Niu, F., Luo, J., Lin, Z., Fang, J., and Liu, M.: Thaw-induced slope
failures and stability analyses in permafrost regions of the Qinghai-Tibet
Plateau, China, Landslides, 13, 55–65, https://doi.org/10.1007/s10346-014-0545-2, 2015.
Obu, J., Westermann, S., Bartsch, A., Berdnikov, N., Christiansen, H. H.,
Dashtseren, A., Delaloye, R., Elberling, B., Etzelmüller, B., Kholodov,
A., Khomutov, A., Kääb, A., Leibman, M. O., Lewkowicz, A. G., Panda,
S. K., Romanovsky, V., Way, R. G., Westergaard-Nielsen, A., Wu, T., Yamkhin,
J., and Zou, D.: Northern Hemisphere permafrost map based on TTOP modelling
for 2000–2016 at 1 km2 scale, Earth-Sci. Rev., 193, 299–316,
https://doi.org/10.1016/j.earscirev.2019.04.023, 2019.
Patton, A. I., Rathburn, S. L., and Capps, D. M.: Landslide response to
climate change in permafrost regions, Geomorphology, 340, 116–128,
https://doi.org/10.1016/j.geomorph.2019.04.029, 2019.
Sluijs, J., Kokelj, S., Fraser, R., Tunnicliffe, J., and Lacelle, D.:
Permafrost Terrain Dynamics and Infrastructure Impacts Revealed by UAV
Photogrammetry and Thermal Imaging, Remote Sens.-Basel, 10, 1734, https://doi.org/10.3390/rs10111734, 2018.
Streletskiy, D. A., Suter, L. J., Shiklomanov, N. I., Porfiriev, B. N., and
Eliseev, D. O.: Assessment of climate change impacts on buildings,
structures and infrastructure in the Russian regions on permafrost, Environ
Res Lett, 14, 025003, https://doi.org/10.1088/1748-9326/aaf5e6, 2019.
Wang, K., Jafarov, E., Overeem, I., Romanovsky, V., Schaefer, K., Clow, G., Urban, F., Cable, W., Piper, M., Schwalm, C., Zhang, T., Kholodov, A., Sousanes, P., Loso, M., and Hill, K.: A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA, Earth Syst. Sci. Data, 10, 2311–2328, https://doi.org/10.5194/essd-10-2311-2018, 2018.
Wang, S., Niu, F., Chen, J., and Dong, Y.: Permafrost research in China
related to express highway construction, Permafrost Periglac., 31, 406–416, https://doi.org/10.1002/ppp.2053, 2020.
Weber, S., Beutel, J., Da Forno, R., Geiger, A., Gruber, S., Gsell, T., Hasler, A., Keller, M., Lim, R., Limpach, P., Meyer, M., Talzi, I., Thiele, L., Tschudin, C., Vieli, A., Vonder Mühll, D., and Yücel, M.: A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH), Earth Syst. Sci. Data, 11, 1203–1237, https://doi.org/10.5194/essd-11-1203-2019, 2019.
Wicky, J. and Hauck, C.: Numerical modelling of convective heat transport by air flow in permafrost talus slopes, The Cryosphere, 11, 1311–1325, https://doi.org/10.5194/tc-11-1311-2017, 2017.
Wirz, V., Geertsema, M., Gruber, S., and Purves, R. S.: Temporal variability
of diverse mountain permafrost slope movements derived from multi-year daily
GPS data, Mattertal, Switzerland, Landslides, 13, 67–83, https://doi.org/10.1007/s10346-014-0544-3, 2015.
Wu, Q. and Zhang, T.: Recent permafrost warming on the Qinghai-Tibetan
Plateau, J. Geophys. Res., 113, D13108, https://doi.org/10.1029/2007jd009539, 2008.
Wu, Q., Liu, Y., Zhang, J., and Tong, C.: A review of recent frozen soil
engineering in permafrost regions along Qinghai-Tibet Highway, China,
Permafrost Periglac., 13, 199–205, https://doi.org/10.1002/ppp.420, 2002.
Wu, Q., Dong, X., Liu, Y., and Jin, H.: Responses of Permafrost on the
Qinghai-Tibet Plateau, China, to Climate Change and Engineering
Construction, Arct. Antarct. Alp. Res., 39, 682–687,
https://doi.org/10.1657/1523-0430(07-508)[wu]2.0.Co;2, 2007.
Wu, Y., Yang, Q., Jiang, G., and Zhang, P.: Stable Isotopic Stratification
and Growth Patterns of Ground Ice in Permafrost on the Qinghai-Tibet
Plateau, China, Permafrost Periglac., 28, 119–129,
https://doi.org/10.1002/ppp.1892, 2017.
Yang, Y., Wu, Q., Jiang, G., and Zhang, P.: Stable Isotopic Stratification
and Growth Patterns of Ground Ice in Permafrost on the Qinghai-Tibet
Plateau, China, Permafrost Periglac., 28, 119–129,
https://doi.org/10.1002/ppp.1892, 2017.
Yu, W., Zhang, T., Lu, Y., Han, F., Zhou, Y., and Hu, D.: Engineering risk
analysis in cold regions: State of the art and perspectives, Cold Reg.
Sci. Technol., 171, 102963, https://doi.org/10.1016/j.coldregions.2019.102963, 2020.
Yuan, C., Yu, Q., You, Y., and Guo, L.: Deformation mechanism of an
expressway embankment in warm and high ice content permafrost regions, Appl.
Therm. Eng., 121, 1032–1039, https://doi.org/10.1016/j.applthermaleng.2017.04.128, 2017.
Zhang, M., Pei, W., Zhang, X., and Lu, J.: Lateral thermal disturbance of
embankments in the permafrost regions of the Qinghai-Tibet Engineering
Corridor, Nat. Hazards, 78, 2121–2142, https://doi.org/10.1007/s11069-015-1823-6, 2015.
Zhang, T., Barry, R. G., Knowles, K., Heginbottom, J. A., and Brown, J.:
Statistics and characteristics of permafrost and ground-ice distribution in
the Northern Hemisphere1, Polar Geography, 23, 132–154, https://doi.org/10.1080/10889379909377670, 1999.
Zhang, Z., Yu, Q., You, Y., Guo, L., Wang, X., Liu, G., and Wu, G.: Cooling
effect analysis of temperature-controlled ventilated embankment in
Qinghai-Tibet testing expressway, Cold Reg. Sci. Technol., 173,
https://doi.org/10.1016/j.coldregions.2020.103012, 2020.
Zhao, L.: Meteorological Datasets of Xidatan station (XDT) on the Tibetan
Plateau in 2014–2018, National Tibetan Plateau Data Center [data set], https://doi.org/10.11888/Meteoro.tpdc.270084, 2018.
Zhao, L., Zou, D., Hu, G., Du, E., Pang, Q., Xiao, Y., Li, R., Sheng, Y.,
Wu, X., Sun, Z., Wang, L., Wang, C., Ma, L., Zhou, H., and Liu, S.: Changing
climate and the permafrost environment on the Qinghai–Tibet (Xizang)
plateau, Permafrost Periglac., 31, 396–405, https://doi.org/10.1002/ppp.2056, 2020.
Short summary
We implement a variety of sensors to monitor the hydrological and thermal deformation between permafrost slopes and engineering projects in the hinterland of the Qinghai–Tibet Plateau. We present the integrated observation dataset from the 1950s to 2020, explaining the instrumentation, processing, data visualisation, and quality control.
We implement a variety of sensors to monitor the hydrological and thermal deformation between...
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