Lateral thermokarst patterns in permafrost peat plateaus in northern Norway

Subarctic peatlands underlain by permafrost contain significant amounts of organic carbon. Our ability to quantify the evolution of such permafrost landscapes in numerical models is critical for providing robust predictions of the environmental and climatic changes to come. Yet, the accuracy of larg...

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Published in:The Cryosphere
Main Authors: Martin, Léo C. P., Nitzbon, Jan, Scheer, Johanna, Aas, Kjetil S., Eiken, Trond, Langer, Moritz, Filhol, Simon, Etzelmüller, Bernd, Westermann, Sebastian
Format: Text
Language:English
Published: 2021
Subjects:
Ice
Online Access:https://doi.org/10.5194/tc-15-3423-2021
https://tc.copernicus.org/articles/15/3423/2021/
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spelling ftcopernicus:oai:publications.copernicus.org:tc91089 2023-05-15T16:37:32+02:00 Lateral thermokarst patterns in permafrost peat plateaus in northern Norway Martin, Léo C. P. Nitzbon, Jan Scheer, Johanna Aas, Kjetil S. Eiken, Trond Langer, Moritz Filhol, Simon Etzelmüller, Bernd Westermann, Sebastian 2021-07-22 application/pdf https://doi.org/10.5194/tc-15-3423-2021 https://tc.copernicus.org/articles/15/3423/2021/ eng eng doi:10.5194/tc-15-3423-2021 https://tc.copernicus.org/articles/15/3423/2021/ eISSN: 1994-0424 Text 2021 ftcopernicus https://doi.org/10.5194/tc-15-3423-2021 2021-07-26T16:22:27Z Subarctic peatlands underlain by permafrost contain significant amounts of organic carbon. Our ability to quantify the evolution of such permafrost landscapes in numerical models is critical for providing robust predictions of the environmental and climatic changes to come. Yet, the accuracy of large-scale predictions has so far been hampered by small-scale physical processes that create a high spatial variability of thermal surface conditions, affecting the ground thermal regime and thus permafrost degradation patterns. In this regard, a better understanding of the small-scale interplay between microtopography and lateral fluxes of heat, water and snow can be achieved by field monitoring and process-based numerical modeling. Here, we quantify the topographic changes of the Šuoššjávri peat plateau (northern Norway) over a three-year period using drone-based repeat high-resolution photogrammetry. Our results show thermokarst degradation is concentrated on the edges of the plateau, representing 77 % of observed subsidence, while most of the inner plateau surface exhibits no detectable subsidence. Based on detailed investigation of eight zones of the plateau edge, we show that this edge degradation corresponds to an annual volume change of 0.13±0.07 m 3 yr −1 per meter of retreating edge (orthogonal to the retreat direction). Using the CryoGrid3 land surface model, we show that these degradation patterns can be reproduced in a modeling framework that implements lateral redistribution of snow, subsurface water and heat, as well as ground subsidence due to melting of excess ice. By performing a sensitivity test for snow depths on the plateau under steady-state climate forcing, we obtain a threshold behavior for the start of edge degradation. Small snow depth variations (from 0 to 30 cm) result in highly different degradation behavior, from stability to fast degradation. For plateau snow depths in the range of field measurements, the simulated annual volume changes are broadly in agreement with the results of the drone survey. As snow depths are clearly correlated with ground surface temperatures, our results indicate that the approach can potentially be used to simulate climate-driven dynamics of edge degradation observed at our study site and other peat plateaus worldwide. Thus, the model approach represents a first step towards simulating climate-driven landscape development through thermokarst in permafrost peatlands. Text Ice Northern Norway Peat Peat plateau permafrost Subarctic Thermokarst Copernicus Publications: E-Journals Norway The Cryosphere 15 7 3423 3442
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Subarctic peatlands underlain by permafrost contain significant amounts of organic carbon. Our ability to quantify the evolution of such permafrost landscapes in numerical models is critical for providing robust predictions of the environmental and climatic changes to come. Yet, the accuracy of large-scale predictions has so far been hampered by small-scale physical processes that create a high spatial variability of thermal surface conditions, affecting the ground thermal regime and thus permafrost degradation patterns. In this regard, a better understanding of the small-scale interplay between microtopography and lateral fluxes of heat, water and snow can be achieved by field monitoring and process-based numerical modeling. Here, we quantify the topographic changes of the Šuoššjávri peat plateau (northern Norway) over a three-year period using drone-based repeat high-resolution photogrammetry. Our results show thermokarst degradation is concentrated on the edges of the plateau, representing 77 % of observed subsidence, while most of the inner plateau surface exhibits no detectable subsidence. Based on detailed investigation of eight zones of the plateau edge, we show that this edge degradation corresponds to an annual volume change of 0.13±0.07 m 3 yr −1 per meter of retreating edge (orthogonal to the retreat direction). Using the CryoGrid3 land surface model, we show that these degradation patterns can be reproduced in a modeling framework that implements lateral redistribution of snow, subsurface water and heat, as well as ground subsidence due to melting of excess ice. By performing a sensitivity test for snow depths on the plateau under steady-state climate forcing, we obtain a threshold behavior for the start of edge degradation. Small snow depth variations (from 0 to 30 cm) result in highly different degradation behavior, from stability to fast degradation. For plateau snow depths in the range of field measurements, the simulated annual volume changes are broadly in agreement with the results of the drone survey. As snow depths are clearly correlated with ground surface temperatures, our results indicate that the approach can potentially be used to simulate climate-driven dynamics of edge degradation observed at our study site and other peat plateaus worldwide. Thus, the model approach represents a first step towards simulating climate-driven landscape development through thermokarst in permafrost peatlands.
format Text
author Martin, Léo C. P.
Nitzbon, Jan
Scheer, Johanna
Aas, Kjetil S.
Eiken, Trond
Langer, Moritz
Filhol, Simon
Etzelmüller, Bernd
Westermann, Sebastian
spellingShingle Martin, Léo C. P.
Nitzbon, Jan
Scheer, Johanna
Aas, Kjetil S.
Eiken, Trond
Langer, Moritz
Filhol, Simon
Etzelmüller, Bernd
Westermann, Sebastian
Lateral thermokarst patterns in permafrost peat plateaus in northern Norway
author_facet Martin, Léo C. P.
Nitzbon, Jan
Scheer, Johanna
Aas, Kjetil S.
Eiken, Trond
Langer, Moritz
Filhol, Simon
Etzelmüller, Bernd
Westermann, Sebastian
author_sort Martin, Léo C. P.
title Lateral thermokarst patterns in permafrost peat plateaus in northern Norway
title_short Lateral thermokarst patterns in permafrost peat plateaus in northern Norway
title_full Lateral thermokarst patterns in permafrost peat plateaus in northern Norway
title_fullStr Lateral thermokarst patterns in permafrost peat plateaus in northern Norway
title_full_unstemmed Lateral thermokarst patterns in permafrost peat plateaus in northern Norway
title_sort lateral thermokarst patterns in permafrost peat plateaus in northern norway
publishDate 2021
url https://doi.org/10.5194/tc-15-3423-2021
https://tc.copernicus.org/articles/15/3423/2021/
geographic Norway
geographic_facet Norway
genre Ice
Northern Norway
Peat
Peat plateau
permafrost
Subarctic
Thermokarst
genre_facet Ice
Northern Norway
Peat
Peat plateau
permafrost
Subarctic
Thermokarst
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-15-3423-2021
https://tc.copernicus.org/articles/15/3423/2021/
op_doi https://doi.org/10.5194/tc-15-3423-2021
container_title The Cryosphere
container_volume 15
container_issue 7
container_start_page 3423
op_container_end_page 3442
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