Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-865-2022
© Author(s) 2022. 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-14-865-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere
Heihe Remote Sensing Experimental Research Station, 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
Xin Li
National Tibetan Plateau Data Center, State Key Laboratory of Tibetan
Plateau Earth System, Environment and Resources, Institute of Tibetan
Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
Guodong Cheng
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
Institute of Urban Study, Shanghai Normal University, Shanghai 200234,
China
Jingxin Che
School of Science, Nanchang Institute of Technology, Nanchang 330099, China
Juha Aalto
Department of Geosciences and Geography, University of Helsinki, P.O.
Box 64, Gustaf Hällströmin katu 2a, 00014 Helsinki, Finland
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki,
Finland
Olli Karjalainen
Geography Research Unit, University of Oulu, P.O. Box 8000, 90014,
Oulu, Finland
Jan Hjort
Geography Research Unit, University of Oulu, P.O. Box 8000, 90014,
Oulu, Finland
Miska Luoto
Department of Geosciences and Geography, University of Helsinki, P.O.
Box 64, Gustaf Hällströmin katu 2a, 00014 Helsinki, Finland
Huijun Jin
Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy
of Sciences, Lanzhou 730000, China
Institute of Cold Regions Science and Engineering and School of Civil
Engineering, Northeast Forestry University, Harbin 150040, China
Jaroslav Obu
Department of Geosciences, University of Oslo, Postboks 1047
Blindern, 0316 Oslo, Norway
Masahiro Hori
Earth Observation Research Center, Japan Aerospace Exploration
Agency, 2-1-1, Sengen, Tsukuba, Ibaraki 305-8505, Japan
Heihe Remote Sensing Experimental Research Station, 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
Xiaoli Chang
School of Resource and Environment and Safety Engineering, Hunan
University of Science and Technology, Xiangtan 411201, China
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Cited
94 citations as recorded by crossref.
- Contrasting characteristics, changes, and linkages of permafrost between the Arctic and the Third Pole X. Wang et al. 10.1016/j.earscirev.2022.104042
- Kilometer-resolution three-dimensional crustal deformation of Tibetan Plateau from InSAR and GNSS C. Liu et al. 10.1007/s11430-023-1289-4
- An indicator of relative distribution probability of field-scale permafrost in Northeast China: Using a particle swarm optimization (PSO)-based indicator composition algorithm S. Liu et al. 10.1016/j.coldregions.2024.104311
- Near Pan-Svalbard permafrost cryospheric hazards inventory (SvalCryo) I. Nicu et al. 10.1038/s41597-024-03754-7
- High potential for pile-bearing capacity loss and ground subsidence over permafrost regions across the Northern Hemisphere G. Yin et al. 10.1016/j.gloplacha.2023.104156
- Land use and cover change in Northeast China and its impacts on the Xing'an permafrost in 1980s–2010s H. Wang et al. 10.1002/ldr.4377
- Permafrost Probability Mapping at a 30 m Resolution in Arxan Based on Multiple Characteristic Variables and Maximum Entropy Classifier Y. Guo et al. 10.3390/app131910692
- Evaluating the thermal environment of urban land surfaces in Yakutsk, a city located in a region of continuous permafrost X. Li et al. 10.1016/j.accre.2024.01.002
- Augmenting daily MODIS LST with AIRS surface temperature retrievals to estimate ground temperature and permafrost extent in High Mountain Asia K. Kim et al. 10.1016/j.rse.2024.114075
- Modeling the start of frozen dates with leaf senescence over Tibetan Plateau J. Li et al. 10.1016/j.rse.2022.113258
- Effects of soil parameterization on permafrost modeling in the Qinghai-Tibet Plateau: A calibration-constrained analysis Y. Zhao et al. 10.1016/j.coldregions.2023.103833
- Retrogressive thaw slumps along the Qinghai–Tibet Engineering Corridor: a comprehensive inventory and their distribution characteristics Z. Xia et al. 10.5194/essd-14-3875-2022
- Evaluation of soil carbon simulation in CMIP6 Earth system models R. Varney et al. 10.5194/bg-19-4671-2022
- Effects of Forest Fires on Boreal Permafrost and Soil Microorganisms: A Review J. Liu et al. 10.3390/f15030501
- Multi-hazard susceptibility mapping of cryospheric hazards in a high-Arctic environment: Svalbard Archipelago I. Nicu et al. 10.5194/essd-15-447-2023
- Time-series simulation of alpine grassland cover using transferable stacking deep learning and multisource remote sensing data in the Google Earth Engine X. Lin et al. 10.1016/j.jag.2024.103964
- Enhancing mountainous permafrost mapping by leveraging a rock glacier inventory in northeastern Tibetan Plateau Z. Hu et al. 10.1080/17538947.2024.2304077
- Field observations of the thermal stability of permafrost under buildings with an underfloor open ventilation space and pile foundations in warm permafrost at high altitudes X. HOU et al. 10.1016/j.accre.2023.03.004
- Quantification of active layer depth at multiple scales in Interior Alaska permafrost D. Brodylo et al. 10.1088/1748-9326/ad264b
- Environmental spaces for palsas and peat plateaus are disappearing at a circumpolar scale O. Leppiniemi et al. 10.5194/tc-17-3157-2023
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- Reemission of inorganic pollution from permafrost? A freshwater hydrochemistry study in the lower Kolyma basin (North‐East Siberia) D. Szumińska et al. 10.1002/ldr.4866
- Enhancing artificial permafrost table predictions using integrated climate and ground temperature data: A case study from the Qinghai-Xizang highway Y. Zhang et al. 10.1016/j.coldregions.2024.104341
- Spatial stratified heterogeneity analysis of field scale permafrost in Northeast China based on optimal parameters-based geographical detector Y. Guo et al. 10.1371/journal.pone.0297029
- Thermokarst lake susceptibility assessment using machine learning models in permafrost landscapes of the Arctic R. Wang et al. 10.1016/j.scitotenv.2023.165709
- Impact of Climate Change on the Ground Thermal Regime in the Lower Lena Region, Arctic Central Siberia P. Konstantinov et al. 10.3390/land12010019
- The changing nature of groundwater in the global water cycle X. Kuang et al. 10.1126/science.adf0630
- Spatial and temporal characteristics of the site-specific N-factor over the Qinghai-Tibet Plateau F. Chen et al. 10.1016/j.coldregions.2022.103684
- Permafrost thawing caused by the China-Russia Crude oil pipeline based on multi-type data and its impacts on geomorphological reshaping and water erosion K. Gao et al. 10.1016/j.catena.2024.108134
- Modeling Potential Glacial Lake Outburst Flood Process Chains and Effects From Artificial Lake‐Level Lowering at Gepang Gath Lake, Indian Himalaya A. Sattar et al. 10.1029/2022JF006826
- Widespread deepening of the active layer in northern permafrost regions from 2003 to 2020 Z. Liu et al. 10.1088/1748-9326/ad0f73
- Permafrost degradation increases risk and large future costs of infrastructure on the Third Pole Y. Ran et al. 10.1038/s43247-022-00568-6
- True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis H. Kim et al. 10.1016/j.rse.2023.113776
- Sediment Grain-Size Composition in the Permafrost Region of the Greater Khingan Range and Its Significance as a Material Source L. Liu et al. 10.3390/land12091728
- High Mountain Asia hydropower systems threatened by climate-driven landscape instability D. Li et al. 10.1038/s41561-022-00953-y
- The infrastructure cost of permafrost degradation for the Northern Hemisphere H. Jin et al. 10.1016/j.gloenvcha.2023.102791
- High‐Resolution Maps of Near‐Surface Permafrost for Three Watersheds on the Seward Peninsula, Alaska Derived From Machine Learning E. Thaler et al. 10.1029/2023EA003015
- Divergent controlling factors of freeze–thaw-induced changes in dissolved organic carbon and microbial biomass carbon between topsoil and subsoil of cold alpine grasslands Y. Deng et al. 10.1016/j.catena.2024.108063
- Sensitivity of Permafrost Degradation to Geological and Climatic Conditions L. Guo et al. 10.1002/ppp.2245
- Remotely sensed lake area changes in permafrost regions of the Arctic and the Tibetan Plateau between 1987 and 2017 Y. Su et al. 10.1016/j.scitotenv.2023.163355
- Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet Plateau H. Gao et al. 10.5194/hess-26-4187-2022
- Permafrost degradation alters the environmental signals recorded in tree-ring lignin methoxy group δ2H in northeastern China Y. Wang et al. 10.1016/j.scitotenv.2022.160519
- The first 10 m resolution thermokarst lake and pond dataset for the Lena Basin in the 2020 thawing season Y. Yu et al. 10.1080/20964471.2023.2280279
- Fine-resolution mapping and assessment of artificial surfaces in the northern hemisphere permafrost environments C. Liu et al. 10.1080/17538947.2024.2302579
- Regime shifts in Arctic terrestrial hydrology manifested from impacts of climate warming M. Rawlins & A. Karmalkar 10.5194/tc-18-1033-2024
- Numerical simulation of insulated drilling technique with refrigerant fluid in the Arctic region Z. Wu et al. 10.1016/j.applthermaleng.2024.123788
- Characterizing the Changes in Permafrost Thickness across Tibetan Plateau Y. Zhao et al. 10.3390/rs15010206
- Enhanced detection of freeze‒thaw induced landslides in Zhidoi county (Tibetan Plateau, China) with Google Earth Engine and image fusion J. Yang et al. 10.1016/j.accre.2024.03.002
- A novel framework for multiple thermokarst hazards risk assessment and controlling environmental factors analysis on the Qinghai-Tibet Plateau P. Lou et al. 10.1016/j.catena.2024.108367
- A New Method for Bare Permafrost Extraction on the Tibetan Plateau by Integrating Machine Learning and Multi-Source Information X. Li et al. 10.3390/rs15225328
- Degradation and local growth of “Xing'an-Baikal” permafrost responding to climate warming and the consequences Z. Zhang et al. 10.1016/j.earscirev.2024.104865
- Thermokarst lake changes along the Qinghai-Tibet Highway during 1991–2020 M. Mu et al. 10.1016/j.geomorph.2023.108895
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- Discrimination and mapping ground surface freeze and thaw states over Northeastern China based on the improved dual-index algorithm H. Gao et al. 10.1016/j.coldregions.2023.103963
- First comprehensive stable isotope dataset of diverse water units in a permafrost-dominated catchment on the Qinghai–Tibet Plateau Y. Yang et al. 10.5194/essd-16-3755-2024
- A dataset of comprehensive background data series over the Pan-Third Pole (1980–2020) H. LI et al. 10.11922/11-6035.csd.2023.0112.en
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- Impact of climate warming on permafrost changes in the Qinghai-Tibet Plateau R. Li et al. 10.1016/j.coldregions.2022.103692
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- Assessment of a hydrologic-land surface model to simulate thermo-hydrologic evolution of permafrost regions M. Abdelhamed et al. 10.1016/j.jhydrol.2024.132161
- Recent Ground Displacement Over Permafrost in Midwestern Spitsbergen, Svalbard: InSAR Measurements and Modeling Y. Yu et al. 10.1109/JSTARS.2023.3332448
- Spatiotemporal variations of permafrost extent in Mongolia during 1950–2022 X. Ma et al. 10.1016/j.ecolind.2024.112558
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- New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere Y. Ran et al. 10.5194/essd-14-865-2022
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88 citations as recorded by crossref.
- Contrasting characteristics, changes, and linkages of permafrost between the Arctic and the Third Pole X. Wang et al. 10.1016/j.earscirev.2022.104042
- Kilometer-resolution three-dimensional crustal deformation of Tibetan Plateau from InSAR and GNSS C. Liu et al. 10.1007/s11430-023-1289-4
- An indicator of relative distribution probability of field-scale permafrost in Northeast China: Using a particle swarm optimization (PSO)-based indicator composition algorithm S. Liu et al. 10.1016/j.coldregions.2024.104311
- Near Pan-Svalbard permafrost cryospheric hazards inventory (SvalCryo) I. Nicu et al. 10.1038/s41597-024-03754-7
- High potential for pile-bearing capacity loss and ground subsidence over permafrost regions across the Northern Hemisphere G. Yin et al. 10.1016/j.gloplacha.2023.104156
- Land use and cover change in Northeast China and its impacts on the Xing'an permafrost in 1980s–2010s H. Wang et al. 10.1002/ldr.4377
- Permafrost Probability Mapping at a 30 m Resolution in Arxan Based on Multiple Characteristic Variables and Maximum Entropy Classifier Y. Guo et al. 10.3390/app131910692
- Evaluating the thermal environment of urban land surfaces in Yakutsk, a city located in a region of continuous permafrost X. Li et al. 10.1016/j.accre.2024.01.002
- Augmenting daily MODIS LST with AIRS surface temperature retrievals to estimate ground temperature and permafrost extent in High Mountain Asia K. Kim et al. 10.1016/j.rse.2024.114075
- Modeling the start of frozen dates with leaf senescence over Tibetan Plateau J. Li et al. 10.1016/j.rse.2022.113258
- Effects of soil parameterization on permafrost modeling in the Qinghai-Tibet Plateau: A calibration-constrained analysis Y. Zhao et al. 10.1016/j.coldregions.2023.103833
- Retrogressive thaw slumps along the Qinghai–Tibet Engineering Corridor: a comprehensive inventory and their distribution characteristics Z. Xia et al. 10.5194/essd-14-3875-2022
- Evaluation of soil carbon simulation in CMIP6 Earth system models R. Varney et al. 10.5194/bg-19-4671-2022
- Effects of Forest Fires on Boreal Permafrost and Soil Microorganisms: A Review J. Liu et al. 10.3390/f15030501
- Multi-hazard susceptibility mapping of cryospheric hazards in a high-Arctic environment: Svalbard Archipelago I. Nicu et al. 10.5194/essd-15-447-2023
- Time-series simulation of alpine grassland cover using transferable stacking deep learning and multisource remote sensing data in the Google Earth Engine X. Lin et al. 10.1016/j.jag.2024.103964
- Enhancing mountainous permafrost mapping by leveraging a rock glacier inventory in northeastern Tibetan Plateau Z. Hu et al. 10.1080/17538947.2024.2304077
- Field observations of the thermal stability of permafrost under buildings with an underfloor open ventilation space and pile foundations in warm permafrost at high altitudes X. HOU et al. 10.1016/j.accre.2023.03.004
- Quantification of active layer depth at multiple scales in Interior Alaska permafrost D. Brodylo et al. 10.1088/1748-9326/ad264b
- Environmental spaces for palsas and peat plateaus are disappearing at a circumpolar scale O. Leppiniemi et al. 10.5194/tc-17-3157-2023
- Distribution and changes of thermokarst lakes along the Qinghai-Tibet Railway from 1991 to 2022 J. Zhu et al. 10.1016/j.rcar.2024.10.005
- Reemission of inorganic pollution from permafrost? A freshwater hydrochemistry study in the lower Kolyma basin (North‐East Siberia) D. Szumińska et al. 10.1002/ldr.4866
- Enhancing artificial permafrost table predictions using integrated climate and ground temperature data: A case study from the Qinghai-Xizang highway Y. Zhang et al. 10.1016/j.coldregions.2024.104341
- Spatial stratified heterogeneity analysis of field scale permafrost in Northeast China based on optimal parameters-based geographical detector Y. Guo et al. 10.1371/journal.pone.0297029
- Thermokarst lake susceptibility assessment using machine learning models in permafrost landscapes of the Arctic R. Wang et al. 10.1016/j.scitotenv.2023.165709
- Impact of Climate Change on the Ground Thermal Regime in the Lower Lena Region, Arctic Central Siberia P. Konstantinov et al. 10.3390/land12010019
- The changing nature of groundwater in the global water cycle X. Kuang et al. 10.1126/science.adf0630
- Spatial and temporal characteristics of the site-specific N-factor over the Qinghai-Tibet Plateau F. Chen et al. 10.1016/j.coldregions.2022.103684
- Permafrost thawing caused by the China-Russia Crude oil pipeline based on multi-type data and its impacts on geomorphological reshaping and water erosion K. Gao et al. 10.1016/j.catena.2024.108134
- Modeling Potential Glacial Lake Outburst Flood Process Chains and Effects From Artificial Lake‐Level Lowering at Gepang Gath Lake, Indian Himalaya A. Sattar et al. 10.1029/2022JF006826
- Widespread deepening of the active layer in northern permafrost regions from 2003 to 2020 Z. Liu et al. 10.1088/1748-9326/ad0f73
- Permafrost degradation increases risk and large future costs of infrastructure on the Third Pole Y. Ran et al. 10.1038/s43247-022-00568-6
- True global error maps for SMAP, SMOS, and ASCAT soil moisture data based on machine learning and triple collocation analysis H. Kim et al. 10.1016/j.rse.2023.113776
- Sediment Grain-Size Composition in the Permafrost Region of the Greater Khingan Range and Its Significance as a Material Source L. Liu et al. 10.3390/land12091728
- High Mountain Asia hydropower systems threatened by climate-driven landscape instability D. Li et al. 10.1038/s41561-022-00953-y
- The infrastructure cost of permafrost degradation for the Northern Hemisphere H. Jin et al. 10.1016/j.gloenvcha.2023.102791
- High‐Resolution Maps of Near‐Surface Permafrost for Three Watersheds on the Seward Peninsula, Alaska Derived From Machine Learning E. Thaler et al. 10.1029/2023EA003015
- Divergent controlling factors of freeze–thaw-induced changes in dissolved organic carbon and microbial biomass carbon between topsoil and subsoil of cold alpine grasslands Y. Deng et al. 10.1016/j.catena.2024.108063
- Sensitivity of Permafrost Degradation to Geological and Climatic Conditions L. Guo et al. 10.1002/ppp.2245
- Remotely sensed lake area changes in permafrost regions of the Arctic and the Tibetan Plateau between 1987 and 2017 Y. Su et al. 10.1016/j.scitotenv.2023.163355
- Frozen soil hydrological modeling for a mountainous catchment northeast of the Qinghai–Tibet Plateau H. Gao et al. 10.5194/hess-26-4187-2022
- Permafrost degradation alters the environmental signals recorded in tree-ring lignin methoxy group δ2H in northeastern China Y. Wang et al. 10.1016/j.scitotenv.2022.160519
- The first 10 m resolution thermokarst lake and pond dataset for the Lena Basin in the 2020 thawing season Y. Yu et al. 10.1080/20964471.2023.2280279
- Fine-resolution mapping and assessment of artificial surfaces in the northern hemisphere permafrost environments C. Liu et al. 10.1080/17538947.2024.2302579
- Regime shifts in Arctic terrestrial hydrology manifested from impacts of climate warming M. Rawlins & A. Karmalkar 10.5194/tc-18-1033-2024
- Numerical simulation of insulated drilling technique with refrigerant fluid in the Arctic region Z. Wu et al. 10.1016/j.applthermaleng.2024.123788
- Characterizing the Changes in Permafrost Thickness across Tibetan Plateau Y. Zhao et al. 10.3390/rs15010206
- Enhanced detection of freeze‒thaw induced landslides in Zhidoi county (Tibetan Plateau, China) with Google Earth Engine and image fusion J. Yang et al. 10.1016/j.accre.2024.03.002
- A novel framework for multiple thermokarst hazards risk assessment and controlling environmental factors analysis on the Qinghai-Tibet Plateau P. Lou et al. 10.1016/j.catena.2024.108367
- A New Method for Bare Permafrost Extraction on the Tibetan Plateau by Integrating Machine Learning and Multi-Source Information X. Li et al. 10.3390/rs15225328
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Latest update: 21 Nov 2024
Short summary
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.
Datasets including ground temperature, active layer thickness, the probability of permafrost...
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