0.625°x0.4712° Raster Dataset of Temperature at the Top of Permafrost and Active Layer Thickness in the Northern Hemisphere (2015-2100)
WU Xiaoran1,2ZHAO Na*1,2,3
1 State Key Laboratory of Resources and Environmental Information System，Institute of Geographic Sciences and Natural Resources Research，Beijing 100101，China2 College of Resources and Environment，University of Chinese Academy of Sciences，Beijing 100049，China3 Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application，Nanjing 210023，China
DOI:10.3974/geodb.2022.08.01.V1
Published:Aug. 2022
Visitors：7474 Data Files Downloaded：130
Data Downloaded：3639.34 MB Citations：
Key Words：
permafrost,temperature at the top of permafrost,active layer thickness,Kudryavtsev,CMIP6,Northern Hemisphere
Abstract：
The 0.625°x0.4712° raster dataset of temperature at the top of permafrost and active layer thickness in the Northern Hemisphere (2015-2100) was developed using the widely validated and applied Kudryavtsev method, which integrates the effects of temperature, snow, vegetation, and soil on permafrost, based on the new GCM outputs from the sixth phase of the International Coupled Model Intercomparison Project (CMIP6) and the SoilGrids 2.0 dataset. The data were calculated under four different scenarios, SSP126, SSP245, SSP370, and SSP585, from 2015 to 2100. And the permafrost area was obtained based on the temperature at the top of permafrost. The dataset includes the data covering 2015-2100: (1) mean annual temperature at the top of permafrost; (2) annual active layer thickness; (3) annual permafrost area. The resolution of spatial data is 0.625°x0.4712°. The dataset is archived in .tif and .xls data formats, and consists of 690 data files with data size of 35.6 MB (Compressed to one single file with 27.9 MB).Browse
Foundation Item：
Chinese Academy of Sciences (XDA20030203)
Data Citation：
WU Xiaoran, ZHAO Na*. 0.625°x0.4712° Raster Dataset of Temperature at the Top of Permafrost and Active Layer Thickness in the Northern Hemisphere (2015-2100)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.08.01.V1.
WU Xiaoran, ZHAO Na. Methodology of 0.625°-0.4712° raster dataset development of tempera-ture at the top of permafrost and active layer thickness in the northern hemisphere (2015?2100) [J]. Jour-nal of Global Change Data & Discovery, 2022, 6(3): 479–486.
References：
[1] Li, G. J., Zhang, M. Y., Pei, W. S., et al. Changes in permafrost extent and active layer thickness in the Northern Hemisphere from 1969 to 2018 [J]. Science of the Total Environment, 2022, 804: 150182.
[2] Poggio, L., De Sousa, L. M., Batjes, N. H., et al. SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty [J]. Soil, 2021, 7(1): 217-240.
[3] Liu, L., Zhao, D. S., Wei, J. Q., et al. Permafrost sensitivity to global warming of 1.5 °C and 2 °C in the Northern Hemisphere [J]. Environmental Research Letters, 2021, 16(3): 034038.
[4] Wang, K., Jafarov, E., Overeem, I. Sensitivity evaluation of the Kudryavtsev permafrost model [J]. Science of the Total Environment, 2020, 720: 137538.
[5] Shiklomanov, N. I., Nelson, F. E. Analytic representation of the active layer thickness field, Kuparuk River Basin, Alaska [J]. Ecological Modelling, 1999, 123(2-3): 105-125.
[6] Anisimov, O. A., Shiklomanov, N. I., Nelson, F. E. Global warming and active-layer thickness: results from transient general circulation models [J]. Global and Planetary Change, 1997, 15(3-4): 61-77.
[7] Lovato, T., Peano, D. CMCC CMCC-CM2-SR5 model output prepared for CMIP6 ScenarioMIP [DS]. 2020. https://doi.org/10.22033/ESGF/CMIP6.1365.
[8] Lovato, T., Peano, D., Butensch?n, M. CMCC CMCC-ESM2 model output prepared for CMIP6 ScenarioMIP [DS]. 2021. https://doi.org/10.22033/ESGF/CMIP6.13168.
Data Product:
| ID |
Data Name |
Data Size |
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| 0 | Datapaper_NH_Permafrost_2015-2100.pdf | 495.00kb | DownLoad |
| 1 |
NH_Permafrost_2015-2100.rar |
28666.82KB |
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