TY - JOUR
T1 - Advances in Permafrost Representation
T2 - Biophysical Processes in Earth System Models and the Role of Offline Models
AU - Matthes, Heidrun
AU - Damseaux, Adrien
AU - Westermann, Sebastian
AU - Beer, Christian
AU - Boone, Aaron
AU - Burke, Eleanor
AU - Decharme, Bertrand
AU - Genet, Hélène
AU - Jafarov, Elchin
AU - Langer, Moritz
AU - Parmentier, Frans Jan
AU - Porada, Philipp
AU - Gagne-Landmann, Anna
AU - Huntzinger, Deborah
AU - Rogers, Brendan M
AU - Schädel, Christina
AU - Stacke, Tobias
AU - Wells, Jon
AU - Wieder, William R
N1 - Publisher Copyright:
© 2025 Crown copyright and The Author(s). Permafrost and Periglacial Processes published by John Wiley & Sons Ltd. This article is published with the permission of the Controller of HMSO and the Kings Printer for Scotland.
PY - 2025/6/1
Y1 - 2025/6/1
N2 - Permafrost is undergoing rapid changes due to climate warming, potentially exposing a vast reservoir of carbon to be released to the atmosphere, causing a positive feedback cycle. Despite the importance of this feedback, its specifics remain poorly constrained, because representing permafrost dynamics still poses a significant challenge for Earth System Models (ESMs). This review assesses the current state of permafrost representation in land surface models (LSMs) used in ESMs and offline permafrost models, highlighting both the progress made and the remaining gaps. We identify several key physical processes crucial for permafrost dynamics, including soil thermal regimes, freeze–thaw cycles, and soil hydrology, which are underrepresented in many models. While some LSMs have advanced significantly in incorporating these processes, others lack fundamental elements such as latent heat of freeze–thaw, deep soil columns, and Arctic vegetation dynamics. Offline permafrost models provide valuable insights, offering detailed process testing and aiding the prioritization of improvements in coupled LSMs. Our analysis reveals that while significant progress has been made in incorporating permafrost-related processes into coupled LSMs, many small-scale processes crucial for permafrost dynamics remain underrepresented. This is particularly important for capturing the complex interactions between physical and biogeochemical processes required to model permafrost carbon dynamics. We recommend leveraging advancements from offline permafrost models and progressively integrating them into LSMs, while recognizing the computational and technical challenges that may arise in coupled simulations. We highlight the importance of enhancing the representation of physical processes, including through improvements in model resolution and complexity, as this is a fundamental precursor to accurately incorporate biogeochemical processes and capture the permafrost carbon feedback.
AB - Permafrost is undergoing rapid changes due to climate warming, potentially exposing a vast reservoir of carbon to be released to the atmosphere, causing a positive feedback cycle. Despite the importance of this feedback, its specifics remain poorly constrained, because representing permafrost dynamics still poses a significant challenge for Earth System Models (ESMs). This review assesses the current state of permafrost representation in land surface models (LSMs) used in ESMs and offline permafrost models, highlighting both the progress made and the remaining gaps. We identify several key physical processes crucial for permafrost dynamics, including soil thermal regimes, freeze–thaw cycles, and soil hydrology, which are underrepresented in many models. While some LSMs have advanced significantly in incorporating these processes, others lack fundamental elements such as latent heat of freeze–thaw, deep soil columns, and Arctic vegetation dynamics. Offline permafrost models provide valuable insights, offering detailed process testing and aiding the prioritization of improvements in coupled LSMs. Our analysis reveals that while significant progress has been made in incorporating permafrost-related processes into coupled LSMs, many small-scale processes crucial for permafrost dynamics remain underrepresented. This is particularly important for capturing the complex interactions between physical and biogeochemical processes required to model permafrost carbon dynamics. We recommend leveraging advancements from offline permafrost models and progressively integrating them into LSMs, while recognizing the computational and technical challenges that may arise in coupled simulations. We highlight the importance of enhancing the representation of physical processes, including through improvements in model resolution and complexity, as this is a fundamental precursor to accurately incorporate biogeochemical processes and capture the permafrost carbon feedback.
KW - Earth system modeling
KW - permafrost modeling
KW - soil biogeophysical dynamics
UR - http://www.scopus.com/inward/record.url?scp=105002637365&partnerID=8YFLogxK
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U2 - 10.1002/ppp.2269
DO - 10.1002/ppp.2269
M3 - Review article
AN - SCOPUS:105002637365
SN - 1045-6740
VL - 36
SP - 302
EP - 318
JO - Permafrost and Periglacial Processes
JF - Permafrost and Periglacial Processes
IS - 2
ER -