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Permafrost is warming at a global scale.

Boris K BiskabornSharon L SmithJeannette NoetzliHeidrun MatthesGonçalo Brito T G VieiraDmitry A StreletskiyPhilippe SchoeneichVladimir E RomanovskyAntoni G LewkowiczAndrey AbramovMichel AllardJulia BoikeWilliam L CableHanne H ChristiansenReynald DelaloyeBernhard DiekmannDmitry DrozdovBernd EtzelmüllerGuido GrosseMauro GuglielminThomas Ingeman-NielsenKetil IsaksenMamoru IshikawaMargareta JohanssonHalldor JohannssonAnseok JooDmitry KaverinAlexander KholodovPavel KonstantinovTim KrögerChristophe LambielJean-Pierre LanckmanDongliang LuoGalina MalkovaIan MeiklejohnNatalia MoskalenkoMarc OlivaMarcia PhillipsMiguel RamosA Britta K SannelDmitrii SergeevCathy SeyboldPavel SkryabinAlexander VasilievQingbai WuKenji YoshikawaMikhail ZheleznyakHugues Lantuit
Published in: Nature communications (2019)
Permafrost warming has the potential to amplify global climate change, because when frozen sediments thaw it unlocks soil organic carbon. Yet to date, no globally consistent assessment of permafrost temperature change has been compiled. Here we use a global data set of permafrost temperature time series from the Global Terrestrial Network for Permafrost to evaluate temperature change across permafrost regions for the period since the International Polar Year (2007-2009). During the reference decade between 2007 and 2016, ground temperature near the depth of zero annual amplitude in the continuous permafrost zone increased by 0.39 ± 0.15 °C. Over the same period, discontinuous permafrost warmed by 0.20 ± 0.10 °C. Permafrost in mountains warmed by 0.19 ± 0.05 °C and in Antarctica by 0.37 ± 0.10 °C. Globally, permafrost temperature increased by 0.29 ± 0.12 °C. The observed trend follows the Arctic amplification of air temperature increase in the Northern Hemisphere. In the discontinuous zone, however, ground warming occurred due to increased snow thickness while air temperature remained statistically unchanged.
Keyphrases
  • climate change
  • heavy metals
  • optical coherence tomography
  • machine learning
  • human health
  • functional connectivity
  • organic matter