Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer

Long-term measurements of permafrost temperatures do not provide a complete picture of the Arctic subsurface thermal regime. Regions with warmer permafrost often show little to no long-term change in ground temperature due to the uptake and release of latent heat during freezing and thawing. Thus, r...

Full description

Bibliographic Details
Main Authors: Groenke, Brian, Langer, Moritz, Nitzbon, Jan, Westermann, Sebastian, Gallego, Guillermo, Boike, Julia
Format: Text
Language:English
Published: 2023
Subjects:
Ice
Online Access:https://doi.org/10.5194/egusphere-2022-630
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-630/
id ftcopernicus:oai:publications.copernicus.org:egusphere105108
record_format openpolar
spelling ftcopernicus:oai:publications.copernicus.org:egusphere105108 2023-09-26T15:08:37+02:00 Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer Groenke, Brian Langer, Moritz Nitzbon, Jan Westermann, Sebastian Gallego, Guillermo Boike, Julia 2023-08-24 application/pdf https://doi.org/10.5194/egusphere-2022-630 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-630/ eng eng doi:10.5194/egusphere-2022-630 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-630/ eISSN: Text 2023 ftcopernicus https://doi.org/10.5194/egusphere-2022-630 2023-08-28T16:24:16Z Long-term measurements of permafrost temperatures do not provide a complete picture of the Arctic subsurface thermal regime. Regions with warmer permafrost often show little to no long-term change in ground temperature due to the uptake and release of latent heat during freezing and thawing. Thus, regions where the least warming is observed may also be the most vulnerable to permafrost degradation. Since direct measurements of ice and liquid water contents in the permafrost layer are not widely available, thermal modeling of the subsurface plays a crucial role in understanding how permafrost responds to changes in the local energy balance. In this work, we first analyze trends in observed air and permafrost temperatures at four sites within the continuous permafrost zone, where we find substantial variation in the apparent relationship between long-term changes in permafrost temperatures (0.02–0.16 K yr −1 ) and air temperature (0.09–0.11 K yr −1 ). We then apply recently developed Bayesian inversion methods to link observed changes in borehole temperatures to unobserved changes in latent heat and active layer thickness using a transient model of heat conduction with phase change. Our results suggest that the degree to which recent warming trends correlate with permafrost thaw depends strongly on both soil freezing characteristics and historical climatology. At the warmest site, a 9 m borehole near Ny-Ålesund, Svalbard, modeled active layer thickness increases by an average of 13 ± 1 cm K −1 rise in mean annual ground temperature. In stark contrast, modeled rates of thaw at one of the colder sites, a borehole on Samoylov Island in the Lena River delta, appear far less sensitive to temperature change, with a negligible effect of 1 ± 1 cm K −1 . Although our study is limited to just four sites, the results urge caution in the interpretation and comparison of warming trends in Arctic boreholes, indicating significant uncertainty in their implications for the current and future thermal state of permafrost. Text Active layer thickness Arctic Ice lena river Ny Ålesund Ny-Ålesund permafrost Svalbard Copernicus Publications: E-Journals Arctic Svalbard Ny-Ålesund
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Long-term measurements of permafrost temperatures do not provide a complete picture of the Arctic subsurface thermal regime. Regions with warmer permafrost often show little to no long-term change in ground temperature due to the uptake and release of latent heat during freezing and thawing. Thus, regions where the least warming is observed may also be the most vulnerable to permafrost degradation. Since direct measurements of ice and liquid water contents in the permafrost layer are not widely available, thermal modeling of the subsurface plays a crucial role in understanding how permafrost responds to changes in the local energy balance. In this work, we first analyze trends in observed air and permafrost temperatures at four sites within the continuous permafrost zone, where we find substantial variation in the apparent relationship between long-term changes in permafrost temperatures (0.02–0.16 K yr −1 ) and air temperature (0.09–0.11 K yr −1 ). We then apply recently developed Bayesian inversion methods to link observed changes in borehole temperatures to unobserved changes in latent heat and active layer thickness using a transient model of heat conduction with phase change. Our results suggest that the degree to which recent warming trends correlate with permafrost thaw depends strongly on both soil freezing characteristics and historical climatology. At the warmest site, a 9 m borehole near Ny-Ålesund, Svalbard, modeled active layer thickness increases by an average of 13 ± 1 cm K −1 rise in mean annual ground temperature. In stark contrast, modeled rates of thaw at one of the colder sites, a borehole on Samoylov Island in the Lena River delta, appear far less sensitive to temperature change, with a negligible effect of 1 ± 1 cm K −1 . Although our study is limited to just four sites, the results urge caution in the interpretation and comparison of warming trends in Arctic boreholes, indicating significant uncertainty in their implications for the current and future thermal state of permafrost.
format Text
author Groenke, Brian
Langer, Moritz
Nitzbon, Jan
Westermann, Sebastian
Gallego, Guillermo
Boike, Julia
spellingShingle Groenke, Brian
Langer, Moritz
Nitzbon, Jan
Westermann, Sebastian
Gallego, Guillermo
Boike, Julia
Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer
author_facet Groenke, Brian
Langer, Moritz
Nitzbon, Jan
Westermann, Sebastian
Gallego, Guillermo
Boike, Julia
author_sort Groenke, Brian
title Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer
title_short Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer
title_full Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer
title_fullStr Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer
title_full_unstemmed Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer
title_sort investigating the thermal state of permafrost with bayesian inverse modeling of heat transfer
publishDate 2023
url https://doi.org/10.5194/egusphere-2022-630
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-630/
geographic Arctic
Svalbard
Ny-Ålesund
geographic_facet Arctic
Svalbard
Ny-Ålesund
genre Active layer thickness
Arctic
Ice
lena river
Ny Ålesund
Ny-Ålesund
permafrost
Svalbard
genre_facet Active layer thickness
Arctic
Ice
lena river
Ny Ålesund
Ny-Ålesund
permafrost
Svalbard
op_source eISSN:
op_relation doi:10.5194/egusphere-2022-630
https://egusphere.copernicus.org/preprints/2022/egusphere-2022-630/
op_doi https://doi.org/10.5194/egusphere-2022-630
_version_ 1778137982044209152