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| DOI | 10.1016/j.earscirev.2019.04.023 |
| Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale | |
| 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.; Zou D. | |
| 发表日期 | 2019 |
| ISSN | 00128252 |
| 起始页码 | 299 |
| 结束页码 | 316 |
| 卷号 | 193 |
| 英文摘要 | Permafrost is a key element of the cryosphere and an essential climate variable in the Global Climate Observing System. There is no remote-sensing method available to reliably monitor the permafrost thermal state. To estimate permafrost distribution at a hemispheric scale, we employ an equilibrium state model for the temperature at the top of the permafrost (TTOP model) for the 2000–2016 period, driven by remotely-sensed land surface temperatures, down-scaled ERA-Interim climate reanalysis data, tundra wetness classes and landcover map from the ESA Landcover Climate Change Initiative (CCI) project. Subgrid variability of ground temperatures due to snow and landcover variability is represented in the model using subpixel statistics. The results are validated against borehole measurements and reviewed regionally. The accuracy of the modelled mean annual ground temperature (MAGT) at the top of the permafrost is ±2 °C when compared to permafrost borehole data. The modelled permafrost area (MAGT <0 °C) covers 13.9 × 106 km2 (ca. 15% of the exposed land area), which is within the range or slightly below the average of previous estimates. The sum of all pixels having isolated patches, sporadic, discontinuous or continuous permafrost (permafrost probability >0) is around 21 × 106 km2 (22% of exposed land area), which is approximately 2 × 106 km2 less than estimated previously. Detailed comparisons at a regional scale show that the model performs well in sparsely vegetated tundra regions and mountains, but is less accurate in densely vegetated boreal spruce and larch forests. © 2019 |
| 关键词 | CryosphereEssential climate variableFrozen groundGround temperaturesPermafrostPermafrost mapRemote sensing |
| 英文关键词 | accuracy assessment; borehole; cryosphere; frozen ground; land cover; map generalization; Northern Hemisphere; permafrost; pixel; remote sensing; satellite data; surface temperature; Larix; Picea |
| 语种 | 英语 |
| 来源期刊 | Earth Science Reviews
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/203523 |
| 作者单位 | Department of Geosciences, University of Oslo, Sem Sælands vei 1, Oslo, 0371, Norway; Zentralanstalt für Meteorologie und Geodynamik, Hohe Warte 38, Wien, 1190, Austria; Earth Cryosphere Institute, Tyumen Scientific Center, Russian Academy of Sciences, Siberian Branch, Malygin street, 86, Tyumen, 625000, Russian Federation; Arctic Geology Department, The University Centre in Svalbard, UNIS, P.O. Box 156, Longyearbyen, N-9171, Norway; Institute of Geography and Geoecology, Mongolian Academy of Sciences, P.O.B. 361, Ulaanbaatar, 14192, Mongolia; Geography Unit, Department of Geosciences, University of Fribourg, Chemin du Musée 4, Fribourg, 1700, Switzerland; Center for Permafrost (CENPERM), Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, Copenhagen, 1350, Denmark; Geophysical Institute, University of Alaska Fairbanks, 2156 N Koyukuk Dr, Fairbanks, AK 99775, United States; Department of Geography, Environment and Geomatics, University of Ottawa, Ottawa... |
| 推荐引用方式 GB/T 7714 | Obu J.,Westermann S.,Bartsch A.,等. Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale[J],2019,193. |
| APA | Obu J..,Westermann S..,Bartsch A..,Berdnikov N..,Christiansen H.H..,...&Zou D..(2019).Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale.Earth Science Reviews,193. |
| MLA | Obu J.,et al."Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale".Earth Science Reviews 193(2019). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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