Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale
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 s...
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ftoslouniv:oai:www.duo.uio.no:10852/76828 2023-05-15T17:55:23+02:00 Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale Obu, Jaroslav Westermann, Sebastian Bartsch, Annett Berdnikov, Nikolai M. Christiansen, Hanne H Dashtseren, Avirmed Delaloye, Reynald Elberling, Bo Etzelmüller, Bernd Kholodov, Alexander Khomutov, Artem V. Kääb, Andreas Leibman, Marina O. Lewkowicz, Antoni G. Panda, Santosh K. Romanovsky, Vladimir E. Way, Robert G. Westergaard-Nielsen, Andreas Wu, Tonghua Yamkhin, Jambaljav Zou, Defu 2019-06-04T16:01:08Z http://hdl.handle.net/10852/76828 http://urn.nb.no/URN:NBN:no-79944 https://doi.org/10.1016/j.earscirev.2019.04.023 EN eng NFR/239918 ESA/4000116196/15/I-NB http://urn.nb.no/URN:NBN:no-79944 Obu, Jaroslav Westermann, Sebastian Bartsch, Annett Berdnikov, Nikolai M. Christiansen, Hanne H Dashtseren, Avirmed Delaloye, Reynald Elberling, Bo Etzelmüller, Bernd Kholodov, Alexander Khomutov, Artem V. Kääb, Andreas Leibman, Marina O. Lewkowicz, Antoni G. Panda, Santosh K. Romanovsky, Vladimir E. Way, Robert G. Westergaard-Nielsen, Andreas Wu, Tonghua Yamkhin, Jambaljav Zou, Defu . Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale. Earth-Science Reviews. 2019, 193, 299-316 http://hdl.handle.net/10852/76828 1702760 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Earth-Science Reviews&rft.volume=193&rft.spage=299&rft.date=2019 Earth-Science Reviews 193 299 316 https://doi.org/10.1016/j.earscirev.2019.04.023 URN:NBN:no-79944 Fulltext https://www.duo.uio.no/bitstream/handle/10852/76828/1/1-s2.0-S0012825218305907-main.pdf Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/ CC-BY-NC-ND 0012-8252 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2019 ftoslouniv https://doi.org/10.1016/j.earscirev.2019.04.023 2020-06-21T08:54:37Z 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. Article in Journal/Newspaper permafrost Tundra Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Earth-Science Reviews 193 299 316 |
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Open Polar |
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Universitet i Oslo: Digitale utgivelser ved UiO (DUO) |
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ftoslouniv |
language |
English |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Obu, Jaroslav Westermann, Sebastian Bartsch, Annett Berdnikov, Nikolai M. Christiansen, Hanne H Dashtseren, Avirmed Delaloye, Reynald Elberling, Bo Etzelmüller, Bernd Kholodov, Alexander Khomutov, Artem V. Kääb, Andreas Leibman, Marina O. Lewkowicz, Antoni G. Panda, Santosh K. Romanovsky, Vladimir E. Way, Robert G. Westergaard-Nielsen, Andreas Wu, Tonghua Yamkhin, Jambaljav Zou, Defu |
spellingShingle |
Obu, Jaroslav Westermann, Sebastian Bartsch, Annett Berdnikov, Nikolai M. Christiansen, Hanne H Dashtseren, Avirmed Delaloye, Reynald Elberling, Bo Etzelmüller, Bernd Kholodov, Alexander Khomutov, Artem V. Kääb, Andreas Leibman, Marina O. Lewkowicz, Antoni G. Panda, Santosh K. Romanovsky, Vladimir E. Way, Robert G. Westergaard-Nielsen, Andreas Wu, Tonghua Yamkhin, Jambaljav Zou, Defu Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale |
author_facet |
Obu, Jaroslav Westermann, Sebastian Bartsch, Annett Berdnikov, Nikolai M. Christiansen, Hanne H Dashtseren, Avirmed Delaloye, Reynald Elberling, Bo Etzelmüller, Bernd Kholodov, Alexander Khomutov, Artem V. Kääb, Andreas Leibman, Marina O. Lewkowicz, Antoni G. Panda, Santosh K. Romanovsky, Vladimir E. Way, Robert G. Westergaard-Nielsen, Andreas Wu, Tonghua Yamkhin, Jambaljav Zou, Defu |
author_sort |
Obu, Jaroslav |
title |
Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale |
title_short |
Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale |
title_full |
Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale |
title_fullStr |
Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale |
title_full_unstemmed |
Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale |
title_sort |
northern hemisphere permafrost map based on ttop modelling for 2000–2016 at 1 km2 scale |
publishDate |
2019 |
url |
http://hdl.handle.net/10852/76828 http://urn.nb.no/URN:NBN:no-79944 https://doi.org/10.1016/j.earscirev.2019.04.023 |
genre |
permafrost Tundra |
genre_facet |
permafrost Tundra |
op_source |
0012-8252 |
op_relation |
NFR/239918 ESA/4000116196/15/I-NB http://urn.nb.no/URN:NBN:no-79944 Obu, Jaroslav Westermann, Sebastian Bartsch, Annett Berdnikov, Nikolai M. Christiansen, Hanne H Dashtseren, Avirmed Delaloye, Reynald Elberling, Bo Etzelmüller, Bernd Kholodov, Alexander Khomutov, Artem V. Kääb, Andreas Leibman, Marina O. Lewkowicz, Antoni G. Panda, Santosh K. Romanovsky, Vladimir E. Way, Robert G. Westergaard-Nielsen, Andreas Wu, Tonghua Yamkhin, Jambaljav Zou, Defu . Northern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale. Earth-Science Reviews. 2019, 193, 299-316 http://hdl.handle.net/10852/76828 1702760 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Earth-Science Reviews&rft.volume=193&rft.spage=299&rft.date=2019 Earth-Science Reviews 193 299 316 https://doi.org/10.1016/j.earscirev.2019.04.023 URN:NBN:no-79944 Fulltext https://www.duo.uio.no/bitstream/handle/10852/76828/1/1-s2.0-S0012825218305907-main.pdf |
op_rights |
Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1016/j.earscirev.2019.04.023 |
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