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dc.date.accessioned2020-06-09T18:18:20Z
dc.date.available2020-06-09T18:18:20Z
dc.date.created2019-06-04T16:01:08Z
dc.date.issued2019
dc.identifier.citationObu, 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
dc.identifier.urihttp://hdl.handle.net/10852/76828
dc.description.abstractPermafrost 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.
dc.languageEN
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleNorthern Hemisphere permafrost map based on TTOP modelling for 2000–2016 at 1 km2 scale
dc.typeJournal article
dc.creator.authorObu, Jaroslav
dc.creator.authorWestermann, Sebastian
dc.creator.authorBartsch, Annett
dc.creator.authorBerdnikov, Nikolai M.
dc.creator.authorChristiansen, Hanne H
dc.creator.authorDashtseren, Avirmed
dc.creator.authorDelaloye, Reynald
dc.creator.authorElberling, Bo
dc.creator.authorEtzelmüller, Bernd
dc.creator.authorKholodov, Alexander
dc.creator.authorKhomutov, Artem V.
dc.creator.authorKääb, Andreas
dc.creator.authorLeibman, Marina O.
dc.creator.authorLewkowicz, Antoni G.
dc.creator.authorPanda, Santosh K.
dc.creator.authorRomanovsky, Vladimir E.
dc.creator.authorWay, Robert G.
dc.creator.authorWestergaard-Nielsen, Andreas
dc.creator.authorWu, Tonghua
dc.creator.authorYamkhin, Jambaljav
dc.creator.authorZou, Defu
cristin.unitcode185,15,22,0
cristin.unitnameInstitutt for geofag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin1702760
dc.identifier.bibliographiccitationinfo: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
dc.identifier.jtitleEarth-Science Reviews
dc.identifier.volume193
dc.identifier.startpage299
dc.identifier.endpage316
dc.identifier.doihttps://doi.org/10.1016/j.earscirev.2019.04.023
dc.identifier.urnURN:NBN:no-79944
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0012-8252
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/76828/1/1-s2.0-S0012825218305907-main.pdf
dc.type.versionPublishedVersion
dc.relation.projectNFR/239918
dc.relation.projectESA/4000116196/15/I-NB


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