CR4.1 | General session on Permafrost
EDI
General session on Permafrost
Convener: Radhakrishna Bangalore LakshmiprasadECSECS | Co-conveners: Sophie Opfergelt, Amanda Barker, Thomas Graf, Andrew Frampton, Brian GroenkeECSECS
Orals
| Wed, 17 Apr, 08:30–12:30 (CEST)
 
Room L2
Posters on site
| Attendance Tue, 16 Apr, 16:15–18:00 (CEST) | Display Tue, 16 Apr, 14:00–18:00
 
Hall X5
Posters virtual
| Attendance Tue, 16 Apr, 14:00–15:45 (CEST) | Display Tue, 16 Apr, 08:30–18:00
 
vHall X5
Orals |
Wed, 08:30
Tue, 16:15
Tue, 14:00
Permafrost is widely distributed in high-latitude and high-altitude regions, and it is expected that these regions will experience warming that is twice the global average. Due to high temperatures, permafrost degradation is expected. Permafrost degradation influences the hydrological, ecological, and biochemical processes. Moreover, understanding links between permafrost degradation and release of carbon is crucial for the evaluation of key climate feedback mechanisms. Permafrost-related research is a relatively new and upcoming field in comparison to other research fields of the cryosphere. We invite modeling and observation-based studies on permafrost and its interactions with climate, surface water, biogeochemical and human components.

Contributions may include but are not limited to, the following topics:
- Experiments and modeling studies on geochemical tracers (metals, nutrients, major ions, stable isotopes) in permafrost environments across all temporal and spatial scales.
- Numerical, machine learning, and spatial modeling studies to understand permafrost dynamics across spatial and temporal scales.
- Assessment of climate change impacts on permafrost and permafrost-related processes.
- Innovative methods to characterize permafrost through ground-based measurements and remote sensing.
- Integrated model and observation-based studies.
- Permafrost engineering topics that deal with assessing the permafrost-infrastructure interactions.
- Impact of permafrost degradation on human lifestyle.

Orals: Wed, 17 Apr | Room L2

Chairpersons: Radhakrishna Bangalore Lakshmiprasad, Andrew Frampton, Brian Groenke
08:30–08:35
08:35–08:55
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EGU24-8707
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solicited
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Highlight
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On-site presentation
Andreas Hördt, Madhuri Sugand, and Raphael Schulz

The degradation of permafrost due to global warming has pronounced adverse effects, including damage to the infrastructure and climate feedback mechanisms through the release of CO2. Numerical simulations are often used to predict the speed at which frozen ground is thawing. One essential parameter for these simulations is the ice content, due to its increased heat conductivity and nonlinear behavior during phase changes. Despite its importance, ice content is normally only recorded sporadically as it is difficult to collect measurements at high spatial resolution.

Geophysical methods, which investigate the physical properties of the subsurface, have the potential to estimate the spatial distribution of ice content. Geoelectric measurements are sensitive to the existence of ice since the electrical resistivity of ice is orders of magnitudes greater than that of unfrozen water. However, a quantitative estimate of ice content from resistivity alone is difficult because large resistivities may also be caused by low porosities. Therefore, DC resistivity is sometimes combined with seismic methods to reduce ambiguity.

The high-frequency induced polarization (HFIP) method is capable of measuring ice content as a stand-alone technique. HFIP measures the complex electrical resistivity over a broad frequency range, typically up to 200 kHz. In this frequency range the data is sensitive to an additional property, that is, the dielectric permittivity which represents the material’s capability to be polarized by an electric field. The permittivity of ice exhibits a unique behavior in this frequency range, and therefore HFIP may be used to estimate ice content at the field scale. In order to convert this concept into to a practical method, several challenges must be considered. These include the removal of undesired electromagnetic coupling, efficient data acquisition, the inversion of the raw data to obtain useful images of the subsurface, and the conversion of the frequency dependent resistivity into ice content.

Here, we discuss the progress that has been made in recent years to overcome some of these challenges. Data acquisition relies on the Chameleon II equipment that was designed specifically for HFIP measurements. The Chameleon II is one of the few measuring devices that can perform HFIP measurements on field scale and is able to minimize the undesired coupling between electrical components. Subsurface images are obtained through a 2-D inversion of all frequencies separately, followed by the calculation of ice content using a 2-component model where the electrical properties of the ice fraction and the non-ice fraction are considered. We demonstrate the feasibility of the method using recent case histories from alpine and subarctic permafrost areas. We also show by comparison with independent estimates obtained from drill cores that the obtained estimates are sufficiently accurate. We suggest that this method is ready for practical application and may contribute to the understanding of permafrost degradation processes and to the prediction of the future development of permafrost regions under global warming conditions.

How to cite: Hördt, A., Sugand, M., and Schulz, R.: Ice content estimation in the frozen subsurface with an innovative geophysical method: high-frequency induced polarization, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8707, https://doi.org/10.5194/egusphere-egu24-8707, 2024.

08:55–09:05
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EGU24-10315
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ECS
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On-site presentation
Marjan Izadi Yazdanabadi, Artur Marciniak, Szymon Oryński, Tomasz Wawrzyniak, and Marzena Osuch

This study investigates the changes in shallow cryo-hydrogeological layers over time using Ground Penetrating Radar (GPR) in the unique Arctic environment of the Fuglebekken catchment on Spitsbergen Island. Accurate identification of permafrost changes is essential for understanding geotechnical and environmental processes, making precise monitoring imperative. GPR has proven to be a valuable non-destructive method, providing high-resolution spatially distributed data in permafrost regions and overcoming environmental limitations inherent in Arctic areas.

Utilizing a 250 MHz shielded antenna, GPR measurements facilitated the identification of the groundwater layer and changes in the top border of permafrost at different seasons in the Fuglebekken catchment. A distinctive aspect of this research involved the repetition of GPR profiles at the same location during three different seasons, enabling the observation of temporal variations in subsurface conditions across different seasons. These profiles were complemented by strategically placed boreholes and piezometers recording ground temperature at various depths and groundwater levels, providing key data for the validation and correlation of GPR results. Additionally, drone-based digital elevation models (DEM) were employed during GPR data processing to enhance the accuracy of results.

In the majority of recorded profiles, GPR measurements captured well-defined reflections of subsurface features. The emphasis is on revealing changes over time in the study area by distinguishing geological structures from the groundwater and upper permafrost boundaries. The study convincingly demonstrated the efficacy of GPR in capturing underground time-lapse changes throughout the studied area. The comprehensive insights gained through GPR offered distinct advantages over traditional methods reliant on limited borehole data, especially in terms of demonstrating spatial changes. Integration of GPR data with ground temperature measurements from boreholes and the use of Drone-based DEM during data processing provided a holistic perspective on the evolving nature of permafrost borders, significantly enhancing the accuracy and reliability of the findings.

Comprehending spatial and temporal variations in permafrost borders is critical for predicting the impacts of climate change and guiding geotechnical and environmental management strategies. This research serves as a valuable reference for future studies aiming to explore permafrost conditions in polar regions, offering a comprehensive framework for more effective monitoring and management practices.

How to cite: Izadi Yazdanabadi, M., Marciniak, A., Oryński, S., Wawrzyniak, T., and Osuch, M.: Time-lapse GPR Measurements for Observing Shallow Cryo-Hydrogeological Borders in Spitsbergen's Fuglebekken Catchment, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10315, https://doi.org/10.5194/egusphere-egu24-10315, 2024.

09:05–09:15
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EGU24-7507
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ECS
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On-site presentation
Artur Marciniak, Mariusz Majdański, Wojciech Dobiński, and Justyna Cader

The permafrost-covered areas in polar regions face rapid changes in the current climate. While the active layer and permafrost zone near the surface are well-studied, the precise boundaries of the bottom permafrost remain unclear. Consequently, there is insufficient accuracy in understanding the overall shape of permafrost between the upper and lower boundaries. The evolution of deep cryotic structures, influenced by subsurface factors, is also relatively unknown.

In this study, based on the results of seismic reflection imaging we propose a hypothesis regarding the permafrost shape in the coastal area of Svalbard, Southern Spitsbergen. Additional Ground penetrating radar survey using a low-frequency antenna, as well as results of previous researches based on multiple geophysical methods, allowed for correlation of the obtained seismic results with surface observations. The entire methods were complemented by synthetic modeling, in order to better understand the obtained data. The work emphasizes the importance of recognizing not only the upper active layer but also the bottom permafrost boundary and its transition zone due to the underestimated potential role in observing climatic changes. The estimated bottom permafrost border ranges from 70 m below the surface near the shore to 180 m deep further inland, with a continuous frozen matrix layer identified between 40 m and 100 m depth. We also present a hypothesis about the possible presence of subsea permafrost in the Hornsund.

Factors such as seawater intrusions, isostatic uplift of deglaciated areas, and surface-related processes influencing permafrost evolution may lead to extensive changes in the hydrology and geology of polar regions in the future. Therefore, global attention and scientific efforts are essential for monitoring, geophysical imaging, and understanding the characteristics and evolution of deep permafrost structures. The research presented here forms the basis for a full understanding of permafrost evolution and degradation, and should be repeated across the globe to monitor climate change on a worldwide scale.

How to cite: Marciniak, A., Majdański, M., Dobiński, W., and Cader, J.: The hypothesis of the bottom of the permafrost in Spitsbergen and its overall "shape" - a case study from Hornsund, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7507, https://doi.org/10.5194/egusphere-egu24-7507, 2024.

09:15–09:25
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EGU24-13170
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ECS
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On-site presentation
Natalie Arpin, Andy Take, and Ryley Beddoe

The Hudson Bay Railway (HBR) serves as the singular land pathway connecting the Pas to Churchill, Manitoba, Canada. Hence, it is an essential means of transportation for northern communities, enabling the transport of both goods and individuals. However, it has faced many operational challenges because of its remote geographical location and the permafrost conditions it passes over. Over its 1000-kilometre length, the permafrost conditions transition. The railway starts in the isolated permafrost zone in its most southern portions before passing over discontinuous permafrost and then reaching continuous permafrost in its northern section. One of the unique operational challenges present at bridge crossings is the phenomena of “frost jacking”.

Frost jacking refers to the upward displacement of pile bridge foundations caused by forces generated from frost heave in the surrounding ground. If the driving force from frost heave exceeds the frictional resisting forces anchoring a pile into the ground, uplift occurs. When designing pile foundations in cold regions, the potential effects of frost jacking must be considered, as any significant differential heave between piers or the abutments can lead to track geometry issues that affect operations and, in extreme cases, require bridge maintenance. However, research on frost jacking experienced by operational infrastructure has been very limited, which hinders the ability to account for its impacts.

The Horn Creek Crossing on the Hudson Bay Railway is a 30-metre-long, steel ballast deck bridge supported by H-piles. Over a 10-year period, the foundations of the bridge underwent hundreds of millimetres of differential heave before repairs were completed to level the structure in July 2022. Because of the bridge’s remote location, there is limited information on the rate and timing of when frost jacking occurred. Therefore, in 2022, a multi-sensor monitoring program was designed and subsequently installed on the bridge with the purpose of collecting data to explore the mechanism of frost jacking at this site.

Preliminary results from the first monitored winter season resulted in an average upward movement of 33 mm of the spans surrounding the northern pier. This upward movement occurred throughout the winter and ended when daily average temperatures became above 0°C. Afterwards, limited recovery was present in the spring when temperatures rose and was measured to be 11 mm, less than the upward movement measured. The monitoring process is still ongoing, with the aim of identifying longer-term trends and analyzing the outcomes of the repair work. Furthermore, using this site as the location of known differential heave at a railway bridge, methods are being developed to explore whether a parallel data source (track geometry data) can capture patterns and rates of seasonal differential heave at this and other bridges along the HBR.

How to cite: Arpin, N., Take, A., and Beddoe, R.: Railways on Permafrost: Unique Challenges Observed at Bridge Crossings along the Hudson Bay Railway, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13170, https://doi.org/10.5194/egusphere-egu24-13170, 2024.

09:25–09:35
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EGU24-13291
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ECS
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On-site presentation
Elizaveta Sharaborova, Hendrik Huwald, and Michael Lehning

Permafrost thawing in the Alps and elsewhere is leading to infrastructure failure. Implementation of protective measures is therefore necessary to avoid incidents and damage to both infrastructure and the environment. Existing methods for thermal stabilization of permafrost are not directly applicable to the particular conditions of the Alps. For instance, traditional passive thermal stabilization techniques do not provide rapid and substantial soil stabilization. Meanwhile, active methods present financial constraints and have not yet achieved complete efficiency. Here we present a novel solar-powered thermal stabilization system to effectively protect Alpine permafrost and the most vulnerable infrastructure built on it from the impacts of global warming. To understand how these thermal stabilization methods affect the permafrost, numerical simulations using the SNOWPACK model are performed for the Schilthorn Alpine permafrost site (Switzerland, 2900 m a.s.l.). First, the natural permafrost conditions in the soil are simulated as reference state. Then, thermal stabilization components are included and their effect is quantified and evaluated.

To demonstrate the working principle of the thermal stabilization system and to gauge its performance and requirements, a laboratory-scale prototype demonstrator of the system was built and experimental data of the prototype are compared to numerical simulations of a digital twin. The setup includes the components of the thermal stabilization system, which are a cooling pipe for generating a cold barrier layer, as well as temperature, soil moisture, and heat flux sensors for measuring the conditions and processes occurring in the permafrost sample. This data is used to assess the performance and efficiency of the thermal stabilization system. Measurement results indicate that a frozen barrier layer at the level of the pipes can be created and maintained, avoiding heat penetration deeper into the soil and keeping the permafrost sample frozen during the time of the experiment.

Findings from the prototype experiment combined with numerical modeling and optimized engineering will enable advanced engineering design and physical process understanding of effective thermal stabilization systems even considering further impact of climate change.

How to cite: Sharaborova, E., Huwald, H., and Lehning, M.: Developing, Testing, and Modeling of an Innovative Thermal Stabilization Method for Alpine Permafrost Protection, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13291, https://doi.org/10.5194/egusphere-egu24-13291, 2024.

09:35–09:45
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EGU24-22269
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Highlight
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On-site presentation
Michael Krautblatter, Verena Stammberger, Birgit Einhellinger, Helmut Theiler, Reinhard Zeitler, Marc Zebisch, Elke Ludewig, Peter Marton, Nathalie Cotte, Griša Močnik, Markus Leuenberger, Silvio Decurtins, and Sabine Kraushaar

The Alpine region undergoes a faster and more pronounced climate change than surrounding lowlands and, therefore, is a time machine showing the things to come in a changing climate and environment. Under the influence of a robust warming trend, witnessing an ascent of >1°C since the 1980s significant effects are visible and measurable in atmosphere, biosphere, hydrosphere, and most apparently the cryosphere.

The Virtual Alpine Observatory is an assemblage comprising European Alpine Observatories, high alpine research facilities, data archives, and supercomputing centers, seamlessly interwoven through shared infrastructure and collaborative research pursuits. It is the answer to how the complex Alpine environmental system can be addressed by an interdisciplinary, cross-border collaborating research paradigm. At its core, the primary objective is to orchestrate collective endeavors aimed at observing, comprehending, and prognosticating the ramifications of climate change on the Alpine expanse. This extends to the multifaceted facets of the environment in multiple aspects.

This alliance of researchers and data-gathering institutions spanning the Alpine landscape and analogous mountainous terrains in Europe propels the exploration of data patterns transcending national boundaries. In doing so, it creates a reservoir of data, knowledge and scientific approaches that surpasses the cumulative understanding derived from its individual constituents.

In the upcoming discourse, we illuminate the network's future goals, composition, unveil forthcoming research initiatives, expound upon data availabilities, and deliberate on the trajectories that lie ahead for collaborative efforts.

The VAO network is substantially funded by the Bavarian State Ministry of the Environment and Consumer Protection.

How to cite: Krautblatter, M., Stammberger, V., Einhellinger, B., Theiler, H., Zeitler, R., Zebisch, M., Ludewig, E., Marton, P., Cotte, N., Močnik, G., Leuenberger, M., Decurtins, S., and Kraushaar, S.: The Virtual Alpine Observatory (VAO) acting to better observe, understand, forecast and react to climate change in a combined Network of European High-Altitude Research Stations, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-22269, https://doi.org/10.5194/egusphere-egu24-22269, 2024.

09:45–09:55
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EGU24-6903
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ECS
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On-site presentation
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Bradley Gay, Neal Pastick, Jennifer Watts, Amanda Armstrong, Kimberley Miner, and Charles Miller

Complex non-linear relationships exist between the permafrost thermal state, active layer thickness, and terrestrial carbon cycle dynamics In Arctic and boreal Alaska. The rate, magnitude, and extent of permafrost degradation remain uncertain, with an increasing recognition of the importance of abrupt thaw mechanisms. Similarly, large uncertainties in the rate, magnitude, timing, location, and composition of the permafrost carbon feedback complicate this issue. The challenge of monitoring sub-surface phenomena, such as the soil temperature and soil moisture profiles, with remote sensing technology further complicates the situation. There is an urgent need to understand how and to what extent permafrost degradation is destabilizing the Alaskan carbon balance and to characterize the feedbacks involved. We employ our artificial intelligence (AI)-driven model GeoCryoAI to quantify permafrost thaw dynamics and greenhouse gas emissions in Alaska. GeoCryoAI uses a hybridized multimodal deep learning architecture of stacked convolutionally layered memory-encoded bidirectional recurrent neural networks and 12.4 million parameters to simultaneously ingest and analyze 13.1 million in situ measurements (i.e., CALM, GTNP, ABoVE ReSALT, FLUXNET, NEON), 8.06 billion remote sensing airborne observations (i.e., UAVSAR, AVIRIS-NG), and 7.48 billion process-based modeling outputs (i.e., SIBBORK-TTE, TCFM-Arctic) with disparate spatiotemporal sampling and data densities. This framework introduces ecological memory components and effectively learns subtle spatiotemporal covariate complexities in high-latitude ecosystems by emulating permafrost degradation and carbon flux dynamics across Alaska with high precision and minimal loss (RMSE: 1.007cm, 0.694nmolCH4m-2s-1, 0.213µmolCO2m-2s-1). GeoCryoAI captures abrupt and persistent changes while providing a novel methodology for assimilating contemporaneous information on scales from individual sites to the pan-Arctic. Our approach overcomes traditional model inefficiencies and seamlessly resolves spatiotemporal disparities.

How to cite: Gay, B., Pastick, N., Watts, J., Armstrong, A., Miner, K., and Miller, C.: Forecasting Permafrost Carbon Dynamics in Alaska with GeoCryoAI, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6903, https://doi.org/10.5194/egusphere-egu24-6903, 2024.

09:55–10:05
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EGU24-8919
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ECS
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On-site presentation
Constanze Reinken, Victor Brovkin, Philipp de Vrese, Ingmar Nitze, and Helena Bergstedt

Thermokarst lakes are among the most common and dynamic landscape features in ice-rich permafrost regions. They form due to melting of ground ice and subsequent ground subsidence. Their presence and dynamic behavior do not only influence the carbon exchange with the atmosphere by accelerating permafrost thaw and facilitating the production of methane, but also have an impact on soil hydrology as well as biophysical fluxes between atmosphere and land surface, such as energy and water transfer. These feedbacks have implications for both the regional and global climate and are therefore highly relevant when investigating the climate response to changes in permafrost systems under different future carbon emission and warming scenarios. Despite their significant role in the climate system, thermokarst lakes are only rudimentarily or not at all represented in Earth system models. Because the involved hydrological processes are complex and depend on small-scale sub-surface heterogeneities that are difficult to measure, we treat them as probabilistic and use a stochastic approach to create a model of thermokarst lake dynamics (formation, expansion and drainage). More specifically, we utilize common stochastic approaches, such as the Poisson process and Brownian motion, as tools to simulate changes in lake density, size distributions and fractions of water and drained area. Recent advancements in remote sensing offer an opportunity to use high-resolution satellite data products for model calibration and the parameterization of inherent and/or climate-induced thermokarst lake dynamics. We expect our approach and the results of our simulations to contribute to a more accurate representation of permafrost dynamics in Earth system models.

How to cite: Reinken, C., Brovkin, V., de Vrese, P., Nitze, I., and Bergstedt, H.: Stochastic modelling of thermokarst lake distributions, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8919, https://doi.org/10.5194/egusphere-egu24-8919, 2024.

10:05–10:15
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EGU24-4217
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On-site presentation
Vladimir Romanovsky, Dmitry Nicolsky, Louise Farquharson, Sergei Rybakov, and Thomas Wright

The impact of climate warming on permafrost and the potential of climate feedback resulting from permafrost thawing have recently received remarkable attention. Climate warming promotes an increase in permafrost temperature and active layer thickness, which, in turn, affect the stability of northern ecosystems, threaten infrastructure, and cause the release of carbon dioxide and methane into the atmosphere. The timing and the rate of permafrost degradation are two of the major factors in determining the anticipated negative impacts of climate warming on the Arctic ecosystems and infrastructure. The results of permafrost and active layer temperature observations (from the ground surface down to 1.5 m) at the three North Slope Borough communities of Point Lay, Wainwright, and Utqiagvik will be presented in this paper. Ground temperatures were measured both in natural conditions around the villages and under residential and commercial buildings to estimate the impact of infrastructure on permafrost stability. Generally, for all three villages, permafrost is still thermally stable. The mean annual ground temperature at 1.5-m depth is typically below -4°C for both natural conditions and under the elevated above ground engineering structures. One of the exceptions is thermokarst depressions such as deep troughs or ponds filled with water within and outside of the village of Point Lay. The mean annual water temperature at the bottom of some of these ponds with the water depth more than 0.5 m approaches the 0°C threshold, and in some cases even exceeds it, which can trigger development of a talik under these depressions. This may accelerate permafrost degradation at these locations with certain negative consequences for the stability of the village infrastructure and may manifest in numerous hazards for the residents. The methods of stabilization of permafrost and mitigation of adverse impacts of permafrost degradation will be discussed in this presentation. To enhance our understanding of possible future rates and pathways of permafrost degradation and to predict the consequences to residents, accurate high spatial resolution permafrost models are needed. Establishment of these models is possible only by integrating available high-resolution environmental data and by the assimilation of existing field and remote sensing data and observations into these models. The use of high-resolution (30x30 m) stand-alone permafrost dynamics GIPL2 model will be discussed to illustrate how changes in climate and further development of infrastructure will affect permafrost and people in this area.

How to cite: Romanovsky, V., Nicolsky, D., Farquharson, L., Rybakov, S., and Wright, T.: Permafrost stability in and around three North Slope Borough communities in Alaska, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4217, https://doi.org/10.5194/egusphere-egu24-4217, 2024.

Coffee break
Chairpersons: Amanda Barker, Sophie Opfergelt
10:45–11:05
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EGU24-12030
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ECS
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solicited
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Highlight
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On-site presentation
Marie Mollenkopf, Katja Lenge, Prachi Joshi, Birgit Wild, Ellen Dorrepaal, Sylvain Monteux, Andreas Kappler, and Marie Muehe

Thawing of permafrost soils results in drastic changes in soil biogeochemistry and plant community composition. Specifically, the thawing process in subarctic regions can transform previously stable permafrost soils, home to slow growing, shallow-rooted shrubs into water-saturated, oxygen-depleted soils with fast-growing, deep-rooted graminoids. This change in soil biogeochemistry, along with the distinct characteristics and requirements of these contrasting plant types, leads to the hypothesis that the way these plants interact with the soil may impact biogeochemical cycles. Consequently, this could result in changes in the amounts and ratios of released greenhouse gases, influencing climate-relevant processes. On the one hand, tall graminoids may increase CO2 fixation. On the other hand, root exudation might prime the formation of CH4 and the root internal CH4 transport protecting it from oxidation outweighing increased CO2 fixation in thawed permafrost soils as compared to intact permafrost soil.

To explore this idea, we conducted a study in Stordalen, Abisko, Sweden, at a permafrost site with three different thawing stages. Sampling locations in intact, intermediately, and fully thawed permafrost soil were selected, each with varying densities of shrubs and graminoids. Representative plants were sampled to analyze the quantity and composition of root exudates. Data on soil redox potential at different depths were combined with porewater geochemical parameters like the amount and speciation of dissolved iron, dissolved organic carbon, inorganic nitrogen species, dissolved porewater gases, and soil microbial functional genes. Net emissions of CO2, CH4, and N2O were tracked using static gas flux chambers. 

Most reducing redox conditions were observed in fully thawed soils compared to intact and intermediately thawed permafrost soils. Additionally, redox potentials decreased at greater depth in the soil and with higher graminoid density. At the same time graminoid roots exuded larger amounts of organic carbon than shrub roots with a high fraction of easily available organic molecules. We relate the decreasing redox potentials with increasing graminoid density to the rapid depletion of available electron acceptors such as iron(III) caused by an increased supply of easily available organic molecules through root exudation. This, in turn, might prime CH4 production, indicated by increased porewater CH4 at depth. Given the net CH4 flux increase at an increased porewater CH4 at depth, we suggest that this is partly from CH4-priming and partly from aerenchyma transport of CH4 from the soil to the atmosphere (Ström et al. 2005). Since thawing permafrost areas are rapidly expanding and contribute to climate change, the plant-specific alterations of these contrasting rhizosphere biogeochemical systems are important to consider altering greenhouse gas fluxes and warming potentials.

Ström, L. et al. Species-specific Effects of Vascular Plants on Carbon Turnover and Methane Emissions from Wetlands. Biogeochemistry 75, 65–82 (2005).

 

How to cite: Mollenkopf, M., Lenge, K., Joshi, P., Wild, B., Dorrepaal, E., Monteux, S., Kappler, A., and Muehe, M.: Plant-specific rhizosphere influences on soil redox and soil biogeochemistry affect methane release from thawing permafrost soils, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12030, https://doi.org/10.5194/egusphere-egu24-12030, 2024.

11:05–11:15
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EGU24-16607
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ECS
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On-site presentation
Patrick Liebmann, Cordula Vogel, Jiri Barta, Tim Urich, Alexander Kholodov, Milan Varsadiya, Muhammad Waqas, Haitao Wang, Oliver Donnerhack, Olga Shibistova, Stefan Wessel-Bothe, Tim Mansfeldt, and Georg Guggenberger

Permafrost degradation, freezing and thawing processes, and poor drainage due to underlain frozen ground have far-reaching consequences on soil hydrology and biology and, thus, on the redox dynamic in soils of the Arctic. Assessing the redox status of these soils is essential for understanding soil organic matter decomposition processes and can be done by temporal measurements in the field, analyses of redox-sensitive elements, or identification of microbial species or enzymes in redox process chains. While such approaches provide snippets of the complex redox dynamic, publications reporting long-term in-situ redox potential (EH) measurements in arctic permafrost soils are scarce. Limited accessibility to study sites and technical limitations in measuring the redox potential in a frozen environment may be two reasons for this research gap.

But how does the redox potential develop in permafrost soils at different depths in the active layer during the summer? What happens during freezing and thawing? Finally, do thawing/degrading permafrost soils show different patterns compared to intact permafrost?

We approached these research questions by installation of a unique soil monitoring setup at 3 sites near Fairbanks, Alaska, in August 2021. An intact permafrost soil (active layer depth about 50 cm) was equipped with 3 redox electrodes (for EH) and 3 hydra probes (for water content and soil temperature) in the topsoil and subsoil, respectively, and connected to a logger unit allowing continuous measurement of these parameters in both depths every 15 minutes. In addition, two sites with advanced permafrost degradation (permafrost level below 100 cm) were equipped in the same way. One degraded site featured large water contents, representing a wet thaw scenario, while the other site was well-drained, representing a dry thaw scenario, thus representing different endmembers of the ongoing climate-change induced permafrost thaw.

Here, we present the first 2 years of soil monitoring in a discontinuous permafrost area in Interior Alaska from 09/2021 to 09/2023. Overall, pH values of all soils varied between 4.5-6.3. The dry thaw scenario showed oxic conditions (i.e., EH >600 mV) in top- and subsoil, while water contents were low. The wet thaw scenario exhibited high topsoil redox potentials (i.e., EH >500 mV), while subsoil redox potential was lower (i.e., EH <500 mV). High water contents in both intact permafrost and wet thaw scenario demonstrated a pronounced zero curtain effect over several months during the long winter season due to the release of latent heat during freezing. We further detected a strong 200-600 mV decrease in EH in the topsoil of the intact permafrost active layer during the summer season, reaching reducing conditions 1-3 months after seasonal thaw. Redox measurements in the subsoil of the intact permafrost active layer, which was about 25 cm below the topsoil measuring depth and about 5 cm above the frozen ground, revealed EH of >400 mV in the summer period (August to October), suggesting less oxygen consumption in this recently thawed permafrost subsoil.

How to cite: Liebmann, P., Vogel, C., Barta, J., Urich, T., Kholodov, A., Varsadiya, M., Waqas, M., Wang, H., Donnerhack, O., Shibistova, O., Wessel-Bothe, S., Mansfeldt, T., and Guggenberger, G.: Long-term soil redox dynamics of intact and degraded permafrost in Interior Alaska, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16607, https://doi.org/10.5194/egusphere-egu24-16607, 2024.

11:15–11:25
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EGU24-1475
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ECS
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On-site presentation
Laura Sereni, Bertrand Guenet, and Hélène Angot

Arctic permafrost, with inherent low microbial activity, has historically immobilized soil organic matter (OM) and other substances such as mercury (Hg). Derived from both natural sources (e.g., forest fires, volcanism) and human activities, Hg is a highly toxic contaminant.

As permafrost thaws, microbial activity reactivates, leading to the degradation of soil OM. Simultaneously, Hg, once sequestered with OM, is released into the environment. However, the extent of Hg remobilization and its subsequent fate remain uncertain. To address this knowledge gap, we are developing a continental model that focuses on the fate of Hg, particularly from permafrost, within the context of Arctic climate change.

Given the strong affinity of Hg to OM, their cycles within the terrestrial biosphere are intricately interconnected. Leveraging the foundational framework of the ORCHIDEE land surface model, which mechanistically represents the production, transport, and transformation of organic carbon in soils and permafrost, we are integrating the Hg cycle.

This model will be evaluated using available observational data, including soil cores with vertical and latitudinal gradients, as well as measurements of Hg riverine exports on a pan-Arctic scale. Then, the model will be used to estimate the quantities of Hg emitted into the atmosphere and rivers during permafrost thawing, along with the associated timing. Different climate change scenarios from CMIP6 will be used to assess the sensitivity of permafrost thaw and Hg emissions to varying climatic conditions.

How to cite: Sereni, L., Guenet, B., and Angot, H.: The impact of climate change on mercury in permafrost: insights from the ORCHIDEE-MICT-PEAT-LEAK model , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1475, https://doi.org/10.5194/egusphere-egu24-1475, 2024.

11:25–11:35
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EGU24-4466
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On-site presentation
Thomas Douglas, Amanda Barker, Arthur Gelvin, David Brodylo, and Jens Strauss

Permafrost soils contain twice as much carbon as earth’s atmosphere and almost twice as much mercury as is stored in the total of all other soils, the ocean, and the atmosphere (Schuster et al., 2018). Significant nitrogen stocks have also been identified in permafrost (Strauss et al., 2022). The CRREL Permafrost Tunnel near Fairbanks, Alaska provides access to 500 meters of 40,000 year syngenetic permafrost. This is predominantly ice and carbon rich loess with ice wedges, segregated ice, and some large thermokarst cave ice features that are attributed to sudden permafrost thaw. The walls and ceiling of the Tunnel provide ready access to these varied permafrost soil and ice types. Above the Tunnel modern syngenetic permafrost is accessible via trenching and coring.

We surveyed the entire surface area of the walls and ceiling of the Tunnel with light distance and ranging (LiDAR). Return intensity values from different laser wavelengths allowed us to quantify exposed ice features versus ice cemented silt. Full LiDAR coverage of the entire tunnel interior after all artificial, floor, and extreme values were removed totaled 10,753,495 individual points. From this, we calculate 90.5 % of the surface area of the Tunnel walls and ceiling are represented by ice cemented silt and gravel and the remaining 9.5 % are ice features. Of the ice, 89.9 % are ice wedges and 10.1 % is thermokarst cave ice.

Based on these measurements, we collected roughly 80 SIPRE cores of frozen silt and ice features in the Tunnel and from modern permafrost above the Tunnel. Thawed soil and water ice were analyzed for major ions, trace metals, stable water isotopes, and carbon and nitrogen.

Major ion and trace metal concentrations are higher in ice wedges than replacement thermokarst cave ice. Mercury concentrations in ice cemented silt (n=28; 42.9 ng/g +/- 11.0), ice wedges (n=32; 54.0 ng/g +/- 16.3), thermokarst cave ice (n=17; 32.5 ng/g +/- 20.0), and the active layer above the Tunnel (n=5; 47.4 ng/g +/- 10.8) are similar to the 43 ng/g soil reported by Schuster et al. (2018). Carbon and nitrogen concentrations are greater in replacement thermokarst cave ice than in ice wedges and this is indicative of their formation during high intensity summer erosion events. Ice wedge total dissolved nitrogen (n= 30; 5.4 +/- 4.0 mg/L) and dissolved organic carbon (n= 30; 22.7 +/- 6.6 mg/L) values are greater than total dissolved nitrogen (n= 12; 2.9 +/- 4.3 mg/L) and dissolved organic carbon (n= 12; 17.4 +/- 21.0 mg/L) in thermokarst cave ice. Our values for yedoma permafrost inside the Permafrost Tunnel (n=28; 1.9 +/-0.6 kgN/cubic meter) and active layer above the Tunnel (n=5; 1.4 +/-0.5 kgN/cubic meter) are similar to the values of 0.9 kgN/cubic meter for yedoma and 1.6 kgN/cubic meter for active layer soils presented in Strauss et al. (2022).

Schuster PF, et a. Permafrost stores a globally significant amount of mercury. Geophysical Research Letters. 2018 Feb 16;45(3):1463-71.

Strauss J, et al. A globally relevant stock of soil nitrogen in the Yedoma permafrost domain. Nature Communications. 2022 Oct 14;13(1).

How to cite: Douglas, T., Barker, A., Gelvin, A., Brodylo, D., and Strauss, J.: Mercury, carbon, and nitrogen characteristics of Permafrost From 40,000 years old to modern age in Interior Alaska, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4466, https://doi.org/10.5194/egusphere-egu24-4466, 2024.

11:35–11:45
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EGU24-8439
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ECS
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On-site presentation
Lucia Perez-Serrano, Sergey Loiko, Lim Artem, Oleg Pokrovsky, and Jean-Luc Rols

Permafrost peatlands constitute a reservoir of highly labile components such as dissolved organic carbon (DOC), macro- and micro-nutrients, and toxic elements. Fast thawing of permafrost peatlands in most of climate warming scenarios will lead to the mobilisation of dissolved components from soils to rivers and lakes. Permafrost peatlands situated in western Siberia are especially vulnerable to thawing, as they contain the largest soil water and ice resources in the northern hemisphere.  Half of the volume of ice resources is in form of dispersed ice on the soil top layer (0-3 m) [1]. Dispersed ice is enriched in dissolved components, which may be highly reactive and even provide sizable contributions to the hydrological system via suprapermafrost flow [2]. However, contributions from local soil column-scale in the context of micro-environments potential deepening of the active layer remain to be assessed.

To characterize the dissolved fraction of dispersed peat ice, a study was performed in Tazovsky, a representative site located in a continuous permafrost zone in Siberia. Four peat cores (0-180 cm depth) were collected along a gradient from the bog to mineral-fen. DOC, nutrients and trace elements were analysed for both the porewater (active layer) and dispersed ice (frozen layer). Lateral and in-depth approaches were employed to quantify the pools of dissolved components. Preliminary results show an enrichment of highly labile components in the frozen layer, consistent with previous findings in the discontinuous permafrost zone [3]. We hypothesize that the highest concentrations of DOC and certain macro/micro-nutrients in the frozen layer are mostly driven by downwards colloidal migration during the freezing phase. These organic and inorganic nutrients may be released due to progressive thawing, and eventually become bioavailable for microbial uptake. Consequently, the production of CO2 may increase, contributing to the ongoing climate change.

[1] W. H. Pollard and H. M. French, « A first approximation of the volume of ground ice, Richards Island, Pleistocene Mackenzie delta, Northwest Territories, Canada », Can. Geotech. J., vol. 17, no 4, p. 509-516, november 1980, doi: 10.1139/t80-059.

[2] A. G. Lim et al., « Dispersed ground ice of permafrost peatlands: Potential unaccounted carbon, nutrient and metal sources », Chemosphere, vol. 266, p. 128953, march 2021, doi: 10.1016/j.chemosphere.2020.128953.

[3] D. M. Kuzmina et al., « Dispersed ice of permafrost peatlands represents an important source of labile carboxylic acids, nutrients and metals », Geoderma, vol. 429, p. 116256, january 2023, doi: 10.1016/j.geoderma.2022.116256.

How to cite: Perez-Serrano, L., Loiko, S., Artem, L., Pokrovsky, O., and Rols, J.-L.: Labile components as geochemical tracers at the soil column-scale in permafrost peatlands, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8439, https://doi.org/10.5194/egusphere-egu24-8439, 2024.

11:45–11:55
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EGU24-9490
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ECS
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On-site presentation
Hugo M. G. Potier, Xavier Raynaud, Marie A. Alexis, Yannick Agnan, Alienor Allain, and Maryse Castrec-Rouelle

Arctic ecosystems are changing rapidly due to climate warming. Increased air temperature increases shrub proportions in plant communities at large scales, and increased soil moisture associated with permafrost thawing favours herbaceous cover at local scales. Changes in vegetation community composition or soil moisture could particularly affect the biogeochemical cycling of elements in arctic environments through the variation in the proportion of slow-cycling woody biomass and in the mineralisation rates of organic matter with soil water saturation. Nitrogen (N), often considered to limit primary production in these ecosystems, could be particularly affected by these changes. Biological fixation of atmospheric dinitrogen represents a major input of N in these systems and is catalysed by nitrogenase enzymes that contain either Molybdenum (Mo) or Vanadium (V). Thus, the concentrations, stocks and bioavailability of these two lithogenic trace elements (TE) may be key factors in alleviating the N constraint on primary productivity and vegetation change. Understanding their biogeochemical cycles is therefore crucial for our comprehension of changes in arctic environments.

Our study evaluated the concentrations and stocks of Mo and V   in vegetation and soils of different subarctic habitats with different soil characteristics and vegetation communities in a mire and a tundra ecosystem at Abisko, northern Sweden. Mo was more concentrated in the biomass of herbaceous species than in shrubs, resulting in higher stocks in the biomass of herbaceous-dominated habitats than in shrub-dominated habitats. Conversely, V concentrations and stocks were not different between the two vegetation types. In soils, Mo concentrations were globally the same between deep and surface horizons (0.38 mg kg-1), whereas V concentrations were globally higher in deep horizons than at the surface (61.0 to 22.9 mg kg-1, respectively). Accordingly, enrichment factors of the surface horizons compared to deep horizons showed that Mo was highly enriched at the surface (EF > 1 and up to > 8), highlighting the importance of surface processes on Mo cycling. V was not enriched in the tundra but presented EF values similar to Mo in the mire, indicating a locally higher influence of surface processes in this ecosystem. Exploring the possible reasons behind these behaviours, we found that 1) atmospheric deposition seems to play little role in their concentrations in surface soils, 2) soil pH and redox conditions could partially explain the surface enrichment of these two elements through their sorption on organic matter and metallic oxides.

We conclude that global and local changes in plant communities in arctic ecosystems could decrease Mo and V litter fluxes with increased shrub cover, with a greater impact on the Mo cycle than on V due to the stronger influence of surface processes on the Mo cycle. We also highlight the importance of local factors for TE speciation that would control the bioavailability of these elements for organisms. Altogether, these results underline the need to consider the changes in TE cycling in regard to their importance for underlying processes controlling major elements (C, N) dynamics in the changing Arctic.

How to cite: Potier, H. M. G., Raynaud, X., Alexis, M. A., Agnan, Y., Allain, A., and Castrec-Rouelle, M.: Impact of plant community composition and soil characteristics on Mo and V cycling in subarctic habitats at Abisko, Northern Sweden., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-9490, https://doi.org/10.5194/egusphere-egu24-9490, 2024.

11:55–12:05
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EGU24-11455
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ECS
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Highlight
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On-site presentation
Lina Madaj, Fleur van Crimpen, Dustin Whalen, Lisa Bröder, Thomas Langens, Thomas Bosse-Demers, and Jorien Vonk

Around 65% of the Arctic coastline consists of permafrost. Rising global air temperatures cause these permafrost grounds to thaw which leads to the release of organic matter and sediments into the coastal ocean. This influences coastal ecosystem functioning and may further enhance atmospheric warming due to greenhouse gas emissions when the released carbon decomposes. Permafrost organic carbon enters the coastal ocean either through coastal erosion or through fluvial discharge and both fluxes are expected to increase in the future. The Canadian Beaufort Sea receives material from both sources, the region has some of the highest erosion rates in the Arctic and receives additional input through the Mackenzie River, the largest sediment supplier to the Arctic Ocean. To reliably estimate the current and future impacts of permafrost carbon on the coastal ocean and its potential climate feedback, we need to distinguish between these two sources whose fluxes may respond differently to ongoing Arctic change. However, we still lack reliable methods to do so.

Here we propose a multiproxy approach to distinguish between sources of permafrost organic carbon by combining organic with inorganic geochemical tracers, grain size and grain shape data on a land-coast-ocean transect in the Mackenzie River Delta. The combined data pinpoints to differences in sediment source, composition, degradation, and transport pathways of both fluvially-discharged and coastally-eroded carbon. Degradation processes of organic and inorganic matter are tightly coupled, but do change within different environments (salinity, energy regimes). By combining degradation state (stable isotopes) and transport indicators (such as grain roundness) with source region tracers (XRF, radiogenic isotopes) we aim to gain insights into the interaction, transition, and origin of this different kind of matter. If successful, this approach can be applied and compared to other Arctic delta environments to fully understand the impacts of increased permafrost thaw and changing river discharge patterns on the coastal Arctic Ocean.

How to cite: Madaj, L., van Crimpen, F., Whalen, D., Bröder, L., Langens, T., Bosse-Demers, T., and Vonk, J.: Fluvial versus coastal input of permafrost organic carbon - insights from the Canadian Beaufort Sea, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11455, https://doi.org/10.5194/egusphere-egu24-11455, 2024.

12:05–12:15
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EGU24-8513
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Highlight
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On-site presentation
Birgit Wild, Lewis Sauerland, Nicholas E. Ray, Ivan Gangnus, Evgeniy Yakushev, Örjan Gustafsson, Oleg Dudarev, and Igor Semiletov

The Arctic Ocean is currently changing at a high rate, and projections over the next decades include an increase in water temperature and retreat of sea ice, as well as increased input of freshwater and land-derived material released by permafrost thaw. These changes might substantially alter marine biogeochemical cycles and primary production, with repercussions for the Arctic Ocean greenhouse gas balance as well as ocean acidification. The large and shallow continental shelf seas north of Siberia are particularly affected by these changes as they receive land-derived material from strong coastal erosion and large rivers such as Ob, Yenisey and Lena. In recent studies, we have shown a transition from predominantly land- to marine-derived organic matter in sediments from the coast to the shelf break based on isotopes and biomarkers, an increased decomposition state of land-derived organic matter, as well as a decrease in sediment and water column nitrogen concentrations. We here combine this understanding with incubation experiments to assess the impact of these gradients on benthic CO2 production and nutrient remineralization. We found that fresh, land-derived organic matter typical for near-shore environments showed highest decomposability to CO2 in controlled, aerobic laboratory incubations, as indicated by correlations of CO2 production with concentrations of terrigenous biomarkers (lignin, high molecular weight n-alkanes), and biomarker proxies indicating the decomposition state of these compounds. Fresh, land-derived organic matter was also associated with highest ammonium and nitrite release to the water column, measured during on-board incubation of intact sediment cores. The opposite pattern was observed for phosphate and silicate fluxes that were highest in more marine-influenced settings. Our data suggest that increased input of land-derived organic matter to the Siberian Arctic Ocean shelves could promote benthic decomposition processes near the coast, including CO2 release that might contribute to the strong ocean acidification already observed in the region. Furthermore, the different controls on nutrient fluxes indicate a de-coupling of nitrogen, phosphorus and silicon remineralization, with implications for nutrient limitation and primary production in the Arctic Ocean.

How to cite: Wild, B., Sauerland, L., Ray, N. E., Gangnus, I., Yakushev, E., Gustafsson, Ö., Dudarev, O., and Semiletov, I.: Land-derived organic matter drives benthic carbon and nutrient cycling on the Siberian Arctic Ocean shelves, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8513, https://doi.org/10.5194/egusphere-egu24-8513, 2024.

12:15–12:25
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EGU24-6884
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ECS
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On-site presentation
Junjie Wu, Felipe Matsubara, Birgit Wild, Gesine Mollenhauer, Ruediger Stein, Kirsten Fahl, Xiaotong Xiao, and Örjan Gustafsson

The permafrost in the Northern Hemisphere holds approximately 50% of the global soil organic carbon, constituting a reservoir that is twice the size of atmospheric carbon storage. Permafrost carbon plays a vital role in governing the global carbon cycle through its reactivity and accessibility to microbial respiration to release greenhouse gases. Existing studies have revealed spatial variability of degradation of coastally-exported organic matter across regimes in the East Siberian Arctic Shelf Seas. While the degradation patterns and ambient rates are reasonably constrained for the Laptev Sea, these aspects are less well understood for the Kara Sea. Here, we quantified carbon isotopes (13C and 14C), TOC, specific surface area, lipid biomarkers, and lignin phenols along a Kara Sea cross-shelf transect to assess terrigenous organic matter degradation, and compare patterns with three East Siberian cross-shelf transects (Kara Sea, Laptev Sea, Western East Siberian Sea, and Eastern East Siberian Sea). The data demonstrate the highest degradation rate constant of 2.5 kyr-1 in the Eastern East Siberian Sea, a moderate value of 2.0 kyr-1 in the Laptev Sea, and the lowest value of 1.2 kyr-1 in the Western East Siberian Sea. Intriguingly, no statistical trend in degradation was observed across the Kara Sea. The recalcitrant fractions of terrestrial organic carbon are determined to be largest (50%) in the Western East Siberian Sea, moderate (31%) in the Eastern East Siberian Sea, and smallest (11%) in the Laptev Sea. The spatial variabilities in degradation rate constants and recalcitrant fractions are likely attributed to different organic carbon speciation across regimes on land, e.g., from fibrous plant residues to mineral-associated organic carbon, and potential biological controls (e.g., priming effect) during transport.

How to cite: Wu, J., Matsubara, F., Wild, B., Mollenhauer, G., Stein, R., Fahl, K., Xiao, X., and Gustafsson, Ö.: Quantifying cross-shelf degradation of terrigenous organic carbon in Eurasian Arctic Shelf Seas, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6884, https://doi.org/10.5194/egusphere-egu24-6884, 2024.

12:25–12:30

Posters on site: Tue, 16 Apr, 16:15–18:00 | Hall X5

Display time: Tue, 16 Apr, 14:00–Tue, 16 Apr, 18:00
Chairpersons: Amanda Barker, Andrew Frampton, Thomas Graf
X5.170
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EGU24-11100
Sophie Opfergelt, Philippe Roux, Eléonore du Bois d'Aische, Maëlle Villani, Maxime Thomas, and Cécile Osy

Enhanced thawing of the permafrost in a warming Arctic exposes previously frozen soil organic carbon (OC) to microbial decomposition, leading to the release of soil C as greenhouse gases. Depending on temperature and moisture environmental variables, a centennial to millennial-year-old C pool can be reached, thus accelerating the feedback to climate change. Iron-OC interactions in soils and sediments contribute to stabilize OC (by adsorption onto Fe oxides or forming Fe-OC complexes), thus mitigating permafrost C emissions. However, their formation and stability are dependent on soil pH and redox conditions. The heterogeneous soil moisture conditions and drastic changes in soil water pathways upon permafrost thaw make the significance of Fe-OC interactions in attenuating permafrost C emissions uncertain. Using radiogenic Sr isotopes, we show that, in saturated layers, Fe-OC interactions can remain undissociated and preserved since their formation. In contrast, we highlight that at the redox interface, processes of dissolution and precipitation of the Fe-OC interactions occur, changing the OC stabilization potential. Given the implications for overall long-term ecosystem C storage, we will discuss an approach to estimate at the landscape scale in the Arctic: (i) the proportion of permafrost soils Fe with potential for interactions with OC (reactive Fe), and (ii) the locations which are the most sensitive to changes in Fe-OC interactions.

How to cite: Opfergelt, S., Roux, P., du Bois d'Aische, E., Villani, M., Thomas, M., and Osy, C.: To what extent do iron organic carbon interactions attenuate C release from permafrost thaw?, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11100, https://doi.org/10.5194/egusphere-egu24-11100, 2024.

X5.171
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EGU24-818
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ECS
Connecting Variations in Vegetation and Stream Water Geochemistry along a Deglaciation Transect in western Greenland.
(withdrawn)
Izuchukwu Ezukanma, Megan Black, Madison Flint, Stuart McDaniel, Ellen Martin, and Jonathan Martin
X5.172
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EGU24-2400
Experimental Research on Frost Heave Process by Using Digital
(withdrawn)
Dayan Wang and Yongtao Wang
X5.173
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EGU24-4225
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ECS
Amanda Barker, William Baxter, Robyn Barbato, Taylor Sullivan, and Thomas Douglas

Arctic ecosystems are changing as a result of climate warming, altering soil thermal and moisture regimes and contributing to permafrost thaw, which impacts the biogeochemistry of terrestrial and aquatic environments. This occurs across broad scales of space and time. Assessing how and to what extent thawing permafrost impacts soils, sediments, and aquatic environments is integral to constraining greenhouse gas emission estimates, microbial diversity, vegetation succession, and water quality, but quantifications remain difficult to assess on a landscape-scale. When top-down thaw of near-surface permafrost occurs porewaters infiltrate deeper and expose fresh, previously frozen material. This input of oxygenated water greatly alters the oxidation/reduction (redox) conditions, which are intricately tied to soil moisture/temperature, ionic strength, and play a critical role in carbon release. Using optical sensors, satellite and unmanned aerial surveys, and bulk- and micro-scale analytical techniques, we present a comprehensive approach for tracking iron concentrations and redox conditions in permafrost regimes in the Arctic. Overall, we found evidence that iron (Fe) and to a lesser extent manganese (Mn) could be useful as geochemical indicators of permafrost thaw and release of Fe(II) from thawing permafrost and further oxidation to Fe(III) could translate to a higher degree of seasonal rusting coinciding with the warming and thawing of near surface-permafrost.

How to cite: Barker, A., Baxter, W., Barbato, R., Sullivan, T., and Douglas, T.: Tracking permafrost thaw using iron as a geochemical tracer for climate change, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4225, https://doi.org/10.5194/egusphere-egu24-4225, 2024.

X5.174
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EGU24-6537
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ECS
Selsey Stribling, Jeffrey McKenzie, Pierrick Lamontagne-Hallé, Nathaniel Novosad, Dylan Hemmings, and Tom MacNeil

With Arctic amplification, the rate of Arctic warming is estimated to be between two to four times greater than at lower latitudes. Northern warming is leading to environmental change, including permafrost thaw and changes in groundwater flow due to alterations in the timing and the depth of the active zone. Research suggests that, due to permafrost degradation and concomitant increased groundwater mobility, exfiltration to northern groundwater-fed lakes may increase with continued warming. Many parts of the terrestrial Arctic are experiencing warming and increased precipitation, both of which affect both the annual timing of formation and depth of the active zone, thereby controlling the amount of water that may be transmitted through the shallow subsurface. The objective of our research is to use a numerical modeling approach to disentangle the effects of changes in precipitation and warming for a site in the Canadian High Arctic (63°30′N).

Through an archetypal modeling approach for a site with limited field data, we use SUTRA 4.0 to simulate groundwater flow and energy transport with dynamic freeze-thaw processes. To assess active layer zone changes, we simulate a two-dimensional 280 m long hill underlain by continuous permafrost that terminates in a lake. The site has thin unconsolidated overburden on bedrock, with current depth to permafrost between 1.3 m and 2.2 m. We simulate four cases using downscaled CMIP5 projections: modern conditions, near climate (2020s), mid-climate (2050s), and far-climate projection (2080s). The climate projects show increasing annual mean temperatures, decreasing annual temperature amplitude, and increasing precipitation. The groundwater model results primarily focus on the groundwater flux to the lake, as it integrates the flows across the entire system. The results show that there will be increasing flows of groundwater to the lake due to climate change. Further, the increase in mean annual temperature (as opposed to increased precipitation) and associated annual development of the active zone is the primary control on groundwater flow through the system. With warming, the active zone deepens and opens for a longer period each year, allowing for more groundwater flow, particularly during snowmelt.

Understanding active zone changes and groundwater in the Arctic allows us to better assess potential future hydrologic changes and discharge into northern lakes. The results from this study have implications for the potential transport and fate of anthropogenic and geogenic contaminants in Northern environments.

How to cite: Stribling, S., McKenzie, J., Lamontagne-Hallé, P., Novosad, N., Hemmings, D., and MacNeil, T.: Climate Change Impacts on Active Zone Groundwater Dynamics in the High Arctic, Canada, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6537, https://doi.org/10.5194/egusphere-egu24-6537, 2024.

X5.175
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EGU24-7116
Daechul Kim, Sungryul Shin, and Wookeen Chung

Permafrost means soil that remains below 0 ℃ for at least two continuous years. Due to climate change, permafrost is thawing, releasing greenhouse gases(Schuur et al., 2015; Colett et al., 1988). Greenhouse gas emissions from permafrost could accelerate climate change. Therefore, it is necessary to detect and predict changes by estimating the distribution and thickness of permafrost. One of the methods to detect permafrost and detect changes is seismic exploration. Permafrost has various geological characteristics depending on the region, and the porosity of permafrost affects the acoustic wave characteristics(Brothers et al., 2016). Therefore, in order to detect permafrost and detect changes in seismic exploration data, a study is needed to analyze seismic characteristics according to the porosity of permafrost.

In order to create a model according to the porosity of the permafrost and analyze the characteristics of seismic, the porosity was controlled using 3D printing technology and seismic data was acquired through an seismic physical modeling. In this study, an FDM(fused deposition modeling) 3D printer was used to control the porosity of permafrost. Since the porosity of permafrost is about 20-50 % depending on the region, the pore size was set to 3, 4, and 5 mm to create a model similar to the porosity of permafrost. Permafrost was simulated by saturating and freezing water in the pores of the porosity model according to porosity.

A seismic physical modeling was performed to acquire seismic data in permafrost according to porosity. The seismic physical modeling is an experiment that reduces field exploration to a laboratory scale and has excellent field reproducibility. A 1 MHz transducer was used as the source and receiver, and signals were generated using a pulser/receiver. Signals were received and stored using a digital oscilloscope. In order to analyze the characteristics of permafrost according to porosity, the velocity and maximum amplitude were analyzed in the time domain from the acquired seismic data. In addition, the maximum frequency and magnitude according to the porosity of the permafrost were analyzed in the frequency domain.

In this study, 3D printing technology was used to control the porosity of permafrost. Additionally, seismic characteristics were analyzed according to the porosity of the permafrost using a seismic physical modeling. The results of this study are expected to be used as basic data to understand the characteristics of permafrost according to its porosity and to detect and detect changes in permafrost.

 

Acknowledgement

This research was supported by Korea Institute of Marine Science & Technology Promotion (KIMST) funded by the Ministry of Oceans and Fisheries, Korea (RS-2023-00259633).

How to cite: Kim, D., Shin, S., and Chung, W.: Analysis of seismic characteristics for permafrost according to porosity ratio using 3D printing technology, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7116, https://doi.org/10.5194/egusphere-egu24-7116, 2024.

X5.176
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EGU24-12327
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ECS
Siri Holm Hjelmerud, Cas Renette, Mats Björkman, and Heather Reese

Palsa mires are elevated mounds of peat with a permanently frozen core found in areas of discontinuous permafrost. Peatlands in the subarctic, which is where these landforms are located, hold more than 30% of the stored global soil carbon, which is a disproportionate amount considering their extent. As permafrost thaws, as a result of the subarctic region warming approximately twice as fast as the global average, this carbon is released to the atmosphere in the form of CH4 or CO2.

The aim of this study is to measure methane emissions on a degrading palsa in the Vissátvuopmi palsa mire complex located in the northernmost part of Sweden, using carbon flux measurements. The 4 m tall palsa under study has been mapped with repeat UAV LiDAR data (five campaigns during one year) to characterize the intra-annual subsidence of the palsa in high spatial detail. Using the flux measurements and UAV LiDAR data, correlations will be investigated between methane fluxes and other factors such as topographic position, soil moisture and soil temperature, active layer depth and vegetation.  

The findings show some expected results with high emission of methane in areas where the palsa has fully collapsed, and low uptake in areas which have undergone the least amount of degradation. Surprisingly, there is low uptake to low emission in areas of the palsa which have recently degraded significantly. There is no significant correlation between fluxes and the other factors measured in connection to this study (soil moisture, soil temperature, active layer depth and type of vegetation). However, it is possible to detect in the data that, in general, the measurements with low or negative flux have a lower soil moisture percentage (>40-50%) while the measurements with higher fluxes have a soil moisture content above 50%. Using available geospatial data and field observations, an estimation of the current methane emissions from the palsa was made. From these calculations, in addition to the decay rate of the palsa (established in Olvmo et al. (2020)), future emissions will be estimated.

How to cite: Hjelmerud, S. H., Renette, C., Björkman, M., and Reese, H.: Combining in situ flux measurements and multi-temporal UAV LiDAR on a degrading palsa., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12327, https://doi.org/10.5194/egusphere-egu24-12327, 2024.

X5.177
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EGU24-13106
|
ECS
Oana Berzescu, Alexandru Onaca, Aurel Perșoiu, Constantin Marin, Petru Urdea, and Florina Ardelean

Permafrost is defined as the ground (including soil or rock) that remains at or below 0°C for a minimum of two consecutive years (Harris et al., 1988). Due to permafrost`s sensitivity to climate change, it is essential to study the hydrology of rock glaciers to predict and mitigate the impacts of climate-induced changes, including permafrost thaw.

Physico-chemical analyses along with temperature monitoring of springs seeping from the base of the rock glacier fronts were conducted over two consecutive years (2022 and 2023) in various glacial valleys in the central part of the Retezat Mountains.

The measurement of spring water temperature during late summer (SWTS) is employed to discern permafrost distribution in alpine regions. According to previous studies (Frauenfelder et al., 1998; Scapozza, 2009), a water temperature above 2°C indicates the absence of permafrost, while a temperature between 1 and 2°C indicates the possible presence of permafrost, and a temperature below 1°C indicates that permafrost is likely.

In this study physico-chemical and isotopic analyses along with temperature measurements were conducted on springs not originating from rock glaciers, serving as a comparative approach.

The springs associated to rock glaciers draw water from four sources: groundwater, rain, snow and permafrost (Krainer et al., 2007). Among these, snow and permafrost are the primary sources that regulate the low spring temperatures. The cooling effect of a persistent snow layer in mountainous regions such as the Retezat Mountains can have significant influence on spring water temperatures even in the summer months. After snow melts, the presence of permafrost mainly governs the low temperatures of the springs. Only four springs exhibited temperatures below 2°C during the warm season, while many others showed temperatures close to 2-3°C. Given the patchy occurrence of permafrost in the Southern Carpathians and the fact that the frozen materials are located a few hundred meters away from the rock glacier front we hypothesize that permafrost may also be present in rock glaciers characterized by spring temperatures above 2°C. Based solely on the results of physico-chemical analysis, it is impossible to differentiate whether the spring water originates from ice or snow.

KEYWORDS: permafrost, spring water, rock glaciers, SWTS

REFERENCES

Frauenfelder, R., Allgöwer, B., Haeberli, W. & Hoelzle, M. (1998). Permafrost investigations with GIS – a case study in the Fletschhorn area, Wallis, Swiss Alps. In Permafrost, Proceedings of the Seventh International Conference, 23–27June 1998, Yellowknife, Canada, Lewkowicz AG, Allard M (eds) eds, Collection Nordicana 57. Centre d’études Nordiques, Université Laval: Québec; 291–295.

Harris, S.A., French, H.M., Heginbottom, J.A., Johnston, G.H., Ladanyi, B., Sego, D.C., van Everdingen, R.O., 1988, Glossary of Permafrost and Related Ground-Ice Terms, National Research Council of Canada, Ottawa, 156 p.

Krainer, K., Mostler, W. & Spötl, C. (2007). Discharge from active rock glaciers, Austrian Alps: a stable isotope approach. Austrian Journal of Earth Sciences 100: 102–112.

Scapozza, C. (2009). Contributo dei metodi termici alla prospezione del permafrost montano: esempi dal massiccio della Cima di Gana Bianca (Val Blenio, Svizzera). Bollettino della Società Ticinese di Scienze Naturali 97: 55–66.

How to cite: Berzescu, O., Onaca, A., Perșoiu, A., Marin, C., Urdea, P., and Ardelean, F.: Spring water characteristics in the marginal permafrost region of the Southern Carpathians, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13106, https://doi.org/10.5194/egusphere-egu24-13106, 2024.

X5.178
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EGU24-13876
Hyejung Jung, Jinho Ahn, Go Iwahana, and Jeonghoon Lee

Global warming in the Arctic can lead to the alteration of the hydrological cycle and the thawing of permafrost. In this study, we utilized stable water isotope techniques (δ2H and δ18O) to infer the sources mixing of stream water at two sites (HV and PS) along the Sag River on the North Slope, Alaska (USA) during August 2022. The isotopes of snow and rain samples were plotted above the LMWL and reflected the isotopic characteristics of seasonal precipitation in Alaska. The porewater collected within the active layer showed enriched isotope values than other samples, indicating summer precipitation. Using δ18O and deuterium excess in a Bayesian mixing model, we estimated the contribution rates of summer precipitation, seasonal ice, and ice wedge. The results indicated a substantial contribution from melted seasonal ice (HV: 96.8% and PS: 74.1%), formed by frozen precipitation from the previous year, to surface water in August. Additionally, it was observed that the contribution of ice wedge was relatively greater in the downstream (PS: 21.8%) compared to the upstream (HV: 2.1%). Furthermore, we observed that the isotopic compositions of surface water in the PS site revealed evidence of evaporation, as indicated by a characteristic isotopic fractionation slope. Summer precipitation (HV: 1.1% and PS:4.1%) did not contribute substantially to surface waters. This research provides insight into fundamental processes related to sources and mixing of waters in permafrost hydrology.

How to cite: Jung, H., Ahn, J., Iwahana, G., and Lee, J.: Permafrost hydrology in an Arctic tundra ecosystem: quantifying water sources using stable water isotopes, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13876, https://doi.org/10.5194/egusphere-egu24-13876, 2024.

X5.179
|
EGU24-20202
Shaoning Lv

Knowing the Freeze-Thaw (FT) state/ice content/freezing front depth of the land surface is essential for many aspects of weather forecasting, climate, hydrology, and agriculture. Microwave L-band emission contains rather direct information about the FT-state because of its impact on the soil dielectric constant, which determines microwave emissivity and the optical depth profile. However, current L band-based FT algorithms need reference values to distinguish between frozen and thawed soil, which are often not well known. 

We present a series of new frozen soil detection algorithms based on the daily variation of the H-polarized brightness temperature. Exploiting the daily variation signal allows for a more reliable state detection, particularly during the transition periods, when the near-surface soil layer may freeze and thaw on sub-daily time scales. The new algorithms explore and prove that we can get the Freeze-Thaw (FT) state/ice content/freezing front depth of the land surface with a delicate analysis of the L-band passive brightness temperature signals. These studies are expected to extend L-band microwave remote sensing data for improved FT detection.

How to cite: Lv, S.: Validation of the Diurnal Amplitude Variations for Freeze-Thaw (DAV-FT) algorithm with the National Ecological Observatory Network (NEON) soil temperature data, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-20202, https://doi.org/10.5194/egusphere-egu24-20202, 2024.

X5.180
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EGU24-17014
|
Highlight
Weathering in sub-polar environments: Insights from geochemical analyses of soil samples from the Kerguelen Archipelago
(withdrawn after no-show)
François Chabaux, Henry Rutt, Thierry Perrone, René Boutin, Anne-Desirée Schmitt, Jerome van der Woerd, Eric Pelt, Laurent Jeanneau, Michel de Saint Blanquat, and Damien Guillaume
X5.181
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EGU24-14509
Namyi Chae, Hyewon Hwang, Taejin Choi, Soon Gyu Hong, Hyoungseok Lee, and Bang Yong Lee

Carbon dioxide fluxes were measured in the tundra ecosystem in order to evaluate the potential future sensitivity of the carbon cycle to climate change using chamber methods during summer in the Antarctic and high Arctic. The study sites are located on tundra in Baton Peninsula of King George Island, Antarctic Peninsula (62°13’ 28.87"S, 58°47’18.37"W) and high-arctic near Cambridge Bay, Nunavut, Canada (69°7'47.7"N, 105°3'35.3"W). The site of Baton Peninsula is mainly covered with various lichens and mosses and the site of Cambridge Bay is mainly covered with dwarf-shrubs, graminoids, mosses and lichens. CO2 flux was examined to understand change of the carbon cycle over the tundra ecosystems with various conditions for vegetation and soil. The emission CO2 flux and net CO2 exchange showed distinguished differences on type of vegetation and surface soil organic content. The variability of carbon flux depends on soil temperature and soil water content. Net CO2 exchange, soil respiration, and gross primary production were measured or calculated to investigate the influence of the ecosystem in the tundra carbon cycle in the Polar region. This study was supported by a National Research Foundation of Korea grant from the Korean government (MSIP) (NRF-2021M1A5A1065679 and NRF-2021R1I1A1A01053870) and PE 24130.  

 

How to cite: Chae, N., Hwang, H., Choi, T., Hong, S. G., Lee, H., and Lee, B. Y.: Carbon dioxide flux of various surface conditions for tundra ecosystem in High Arctic and Antarctic Peninsula, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14509, https://doi.org/10.5194/egusphere-egu24-14509, 2024.

X5.182
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EGU24-14950
Dirk Scherler, Moritz Langer, Hendrik Wulf, Deniz Gök, and Marcia Phillips

The warming of high mountain regions caused by climate change leads to decreasing snow cover and thawing permafrost, which has far-reaching effects on ecosystems and societies. In this study, we used historical observations of land surface temperature (LST) derived from Landsat satellite data in conjunction with 1-D thermal modeling to simulate the annual evolution of ground temperatures. Our model includes precipitation and the evolution of snow cover, which exerts important control on ground temperatures. We tested this approach in the European Alps, where snow depth observations from high-elevation sites in Switzerland allowed us to evaluate the performance of different precipitation data sets and a simple scheme for snow removal by avalanches. We assessed our model results by comparing them with existing temperature measurements at boreholes and with Landsat-derived snow cover frequencies. All our analysis is based on daily conditions, but averaged over multiple years, hence neglecting interannual variability. Preliminary results indicate generally good agreement between modelled and observed values at weather stations, depending on the used precipitation data set and the sensitivity of the simple snow avalanche scheme. Typical root-mean-square errors (RMSE) are (1) ~2.7 K for daily ground surface temperature, (2) ~50 cm for daily snow depth, and (3) ~25% for monthly snow cover frequency. Typical RMSE for borehole temperatures are ~2 K at depths >1 m, and somewhat higher, at ~4 K for shallow depths (<1 m). It is worth noting that the global statistics is unevenly distributed, with some sites showing much larger errors than others. Besides deficiencies in the modeling, this could also be related to steep spatial gradients in LST, not well captured by the coarser resolution of the Landsat series (60-120 m) in comparison with the ground observations. Unless the used precipitation data sets exhibit regional bias or the snow avalanche model requires regional tuning, the presented approach is independent from ground-truth measurements and can in principle be applied anywhere on Earth. The model can be used to infer ground temperatures and its likely changes as a function of changes in LST and snow cover.

How to cite: Scherler, D., Langer, M., Wulf, H., Gök, D., and Phillips, M.: Simulating ground temperatures in mountainous terrain with remote sensing observations and modeling, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14950, https://doi.org/10.5194/egusphere-egu24-14950, 2024.

X5.183
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EGU24-7976
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ECS
Radhakrishna Bangalore Lakshmiprasad, Thomas Graf, Stephan Peth, Susanne Woche, and Martin Volkmann

Peatlands acquire only 3% of the terrestrial earth's surface; however, they store up to 30% of the global soil carbon. These peatlands also dominate the northern Hemisphere, which is covered by more than 25% of permafrost. An accelerating trend in the rate of permafrost degradation due to climate warming has been observed in most regions of the Northern Hemisphere. An indicator of permafrost degradation is the active layer depth, which is situated in the variably saturated zone. The hydraulic properties of the peatland top soil layer are influenced by its unstructured porous media, high organic matter, and high porosity. The water content in the variably saturated zone in cold regions is influenced by both drying-wetting and freezing-thawing cycles. The soil water characteristic curves (SWCC) define the relationship between unfrozen water content and matric potential. The soil freezing characteristic curves (SFCC) define the relationship between unfrozen water content and temperature around 0°C. The SWCC, SFCC, and the similarities between them have been intensively investigated for mineral soils in comparison to organic soils.  

The three main goals of the study for peatland permafrost mires are as follows: (i) Determine the SWCC using inverse modeling of transient evaporation experiments. (ii) Estimate the SFCC using field-based volumetric water content measurements using a simple empirical function. (iii) Compare and develop a relationship between the SWCC and SFCC. 

The lowland permafrost mires in the Abisko region, located in the northern part of Sweden, were investigated. For the SWCC evaporation experiments, 12 soil samples at six locations and two depths (10 and 25 cm) were taken. Inverse numerical modeling was used to fit and compare the three pressure-saturation functions: (i) Van Genuchten model. (ii) Peter Durner Iden (PDI)-variant of the Van Genuchten model (iii) PDI-variant of the bimodal van Genuchten model. The goodness of fit was checked by Root Mean Square Error and Akaike Information Criterion. It was observed that the PDI-variant of the bimodal van Genuchten model was most suitable for all the soil samples. 12 soil moisture sensors were also installed at the six locations and five depths (10 to 50 cm). An exponential logarithmic function with two parameters (transition temperature and temperature dispersion) was fitted to individual freezing and thawing curves from the soil moisture sensor data. The function showed a very good fit, and it was observed that the two fitting parameters were higher for thawing curves compared to freezing curves. A new SFCC function was developed based on the PDI variant of the bimodal van Genuchten model. This function was compared with the fitted SFCC logarithmic function. Reasonable differences were identified, which could be attributed to the field-installed soil moisture sensors and laboratory-conducted evaporation experiments. It is one of the few hydrological studies that has investigated the effects of bimodal behavior in organic soils on soil freezing and thawing. The measured parameters and datasets provide the necessary functions for developing cryohydrogeological models. The cryohydrogeological models can be used to assess the impacts of climate change on permafrost. 

How to cite: Bangalore Lakshmiprasad, R., Graf, T., Peth, S., Woche, S., and Volkmann, M.: Hydraulic characterization of the variably saturated zone in peatland permafrost mires, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7976, https://doi.org/10.5194/egusphere-egu24-7976, 2024.

X5.184
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EGU24-10257
|
Highlight
Philippe Roux, Edward Schuur, and Sophie Opfergelt

The amplified warming at the poles have largely impacted arctic and subarctic ecosystem by accelerating permafrost degradation. The resulting topographical and hydrological consequences have induced significant shifts in vegetation development and composition with a clear trend of increased productivity since the early 1980’s. This trend, referred to as Arctic greening, causes significant feedback to climate dynamics by altering ground albedo, solar radiation, and shading, as well as the ecosystem net C balance through respiration, photosynthesis and litter degradation.

Firstly, Arctic greening is characterized by increased productivity, resulting from warmer temperatures, longer growing seasons, increased precipitation, atmospheric CO2 concentrations, and access to newly thawed nutrients from deeper soil horizons. Secondly, over the past decades, a notable shift in vegetation has been occuring with an overall increase in shrub dominance accompanied by local increase in graminoid expansion in subsided and poorly drained areas. Given that changing nutrient sources for tundra vegetation has major implications for vegetation changes in the Arctic, and thereby on vegetation-climate feedback, there is a need to identify the processes controlling changes in nutrient sources and mobility for Arctic tundra vegetation upon permafrost thaw. We hypothesize the release and uplift of essential nutrients at depth to result from vegetation cycling and/or water table rise.

To test this hypothesis, we compared radiogenic Sr isotopes composition of three typical tundra plants with different rooting depth subjected to an eight-year soil warming experiment at the Eight-Mile Lake study site in Alaska. We show that plants subjected to soil warming exhibit access to a different nutrient source than that of the control plants, representative of a deeper, recently thawed soil layer. This shift is observed regardless of rooting depth, indicating uplift of thawed nutrients. Therefore, to identify the dominant process governing nutrient mobility upon permafrost thaw, we used vegetation composition survey and mass balance equation to model the magnitude of nutrient transfer from vegetation cycling and water table rise.

How to cite: Roux, P., Schuur, E., and Opfergelt, S.: Using radiogenic Sr isotopes to trace nutrient uplift from permafrost thaw: a field-based soil warming experiment, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10257, https://doi.org/10.5194/egusphere-egu24-10257, 2024.

X5.185
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EGU24-2100
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ECS
Jialing Li, Chaoyang Wu, Josep Peñuelas, Youhua Ran, and Yongguang Zhang

Climate warming exerts important impacts on the freeze-thaw cycle in permafrost regions. Although increasing attention has been paid on understanding the responses of spring thawing to climate change, the mechanisms controlling the global interannual variability of the start date of permafrost frozen (SOF) remain unclear. Using long term SOF derived from the freeze–thaw Earth system data record (FT-ESDR) over 1979-2020, and analytical techniques, including partial correlation, ridge regression, path analysis, the Random Forest (RF) and SHapley Additive exPlanations (SHAP), we explored the responses of SOF to multiple climate factors, including warming (surface and air temperature), start date of permafrost thawing (SOT), soil properties (soil temperature and volume of water), and the snow depth water equivalent (SDWE). In summary, while climate warming exerted predominant influence on SOF, SOT in spring also played a significant role in shaping SOF variability. Among the observed 65.9% significant correlations between SOT and SOF, 79.3% were positive, indicating that an earlier thawing would contribute to an earlier frozen in winter. Machine learning analysis reinforced the significance of SOT as the second most crucial determinant of SOF. To elucidate the mechanism behind the SOT-SOF relationship, path analysis was employed, revealing that changes in soil temperature had the maximum impact on this relationship, irrespective of the permafrost type. Finally, we analyzed the temporal changes in these responses using the moving window approach and found an increasing influence of soil warming on SOF. In conclusion, these findings offer valuable insights for understanding and predicting variations in SOF in the context of future climate change.

How to cite: Li, J., Wu, C., Peñuelas, J., Ran, Y., and Zhang, Y.: The start of frozen dates over northern permafrost regions with the changing climate, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2100, https://doi.org/10.5194/egusphere-egu24-2100, 2024.

X5.186
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EGU24-2508
Youhua Ran, Xin Li, and Guodong Cheng

Qinghai-Tibet Plateau (QTP) is the largest permafrost region among middle- and low-latitude regions in the world. Permafrost in QTP is dominated by unstable and climate-driven. It is especially vulnerable to climate change and ecosystem disturbances (both natural and human). Currently, more than 9389 km of roads, 580 km of railways, 2631 km of power lines, and 1064590 m2 of buildings are located in the QTP permafrost area. Depending on altitude, the warming rate of the QTP has been twice the global average in recent decades and in the foreseeable future. Climate change-induced permafrost degradation can seriously threaten the stability of infrastructure and thus increase the infrastructure repair and replacement frequency. The consequence can be expressed as the shortening of useful life and increases maintenance costs, leading to diverse financial risks. The damage to infrastructure caused by near-surface permafrost degradation is directly related to the well-being of 10 million people and the sustainable development on the Qinghai-Tibet Plateau, the Third Pole of the Earth. Here we identify the economic damage caused by permafrost degradation to infrastructure on the Qinghai-Tibet Plateau by integrating data-driven projection, multihazard index, and lifespan replacement model. We found that additional cost of approximately $6.31 billion will be needed to maintain the service function of current infrastructure under the historical scenario (SSP245) by 2090. While 20.9% of these potential costs can be saved with strategic adaptations. Controlling global warming to below 1.5 °C will reduce the costs by $1.32 billion relative to the 2 °C target of Paris Agreement. These findings highlight the importance of mitigating global warming and of investment in the adaptation and maintenance of infrastructure on the Qinghai-Tibet Plateau, which has a sparse population but is a climate hotspot.

How to cite: Ran, Y., Li, X., and Cheng, G.: Permafrost degradation increases risk and large future costs of infrastructure on the Qinghai-Tibet Plateau, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2508, https://doi.org/10.5194/egusphere-egu24-2508, 2024.

X5.187
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EGU24-4219
Influence of human disturbance on carbon efflux in a subarctic boreal forest
(withdrawn after no-show)
Dragos Vas, Elizabeth Corriveau, William Baxter, Lindsay Gaimaro, and Robyn Barbato
X5.188
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EGU24-7431
|
ECS
Ting Li, Xing Wu, and BoJie Fu

When the permafrost thaws, it brings changes in soil hydrothermal conditions and nutrient levels, which can influence vegetation dynamics. The impact of permafrost degradation on vegetation growth with a warming climate and rising carbon dioxide levels remains unclear. This presentation synthesizes various ground observation records, satellite data, and multi-model multi-scenario data from Phase 6 of the Coupled Model Comparison Project to drive the machine learning models to investigate the contribution of deepening active layers to vegetation productivity at different growth stages and how these changes may vary under different shared socioeconomic pathways in the Northern Hemisphere. The results show that the machine learning model effectively simulates changes in permafrost active layer in the northern hemisphere. Currently, most permafrost in the northern Hemisphere show a positive correlation between active layer thickness (ALT) and vegetation gross primary productivity (GPP), with ALT explaining 8.5%-21.5% of the variation in permafrost GPP across the region. Tundra, temperate coniferous forests, and alpine grasslands are the most impacted vegetation types as the active layer thickens due to tundra degradation. However, in the future, ALT's contribution to GPP is expected to weaken further, especially under the high emission scenario SSP585. These findings help to improve our understanding of permafrost-vegetation feedbacks under the influence of climate change and human activities, and can be leveraged for optimizing simulations of carbon cycle processes in terrestrial ecosystems.

How to cite: Li, T., Wu, X., and Fu, B.: Effects of permafrost thaw on vegetation productivity, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7431, https://doi.org/10.5194/egusphere-egu24-7431, 2024.

X5.189
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EGU24-11998
|
ECS
Fate and Transport of Rare Earth Elements (REEs) in Arctic Watersheds in Alaska
(withdrawn after no-show)
Brad Baxter, Amanda Barker, Thomas Douglas, Robyn Barbato, and Joseph Smith
X5.190
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EGU24-12771
|
ECS
Diego Martinez Barberi, Hugo Beltrami, Iker Gondra, Agnes Richards, Felix Ouellet, Fidel González Rouco, and Elena García-Bustamante

Deep learning is an approach capable of extracting spatio-temporal features automatically while processing large amounts of data through complex structures. Structures that, for example, are able to learn from past patterns and share with the future if strong correlation is found. It could be assumed AI models only need to be built and gather enough data to find links between input and outputs. However, this approach cannot ensure that predictions would respect the laws of physics, e.g. due to extrapolation or observational biases. Restricting models by introducing physics can add strong theoretical guidelines alongside observations.
In the context of permafrost models, data observations are lacking (e.g. wind speed or humidity) and models lose the possibility of spatial extrapolation. In this case, simplification of the physics is an usual procedure. Such that the problem is solved by an approximate solution that still captures broad spatio-temporal features while responding to more accessible predictors (e.g. surface air temperature or air pressure). More specifically, permafrost present-day thermal state is the consequence of past climate conditions that induced long-term variations of deep reservoirs of organic carbon and ground ice. Reproducing permafrost evolution at century to millennia scale requires models to operate with limited and highly uncertain information about thermal and hydrological ground properties.
In need of both data and physical constraints, climate models themselves could be used as data generators. Here, CryoGrid Lite, a simplified version of the permafrost model CryoGrid 3, is used to simulate ground thermal regime and ice balance. Daily data of air temperature, pressure and geothermal flux run CryoGrid Lite to simulate the evolution of the thermal state of permafrost and active layer thickness over many centuries for the Canadian Arctic permafrost region. This dataset, generated by CryoGrid Lite, trains a neural network model to emulate its behavior. Physics equations governing the original model are also introduced into the objective function to penalize the network training when outputs exceed a tolerance range. This approach restricts outputs to the knowledge provided by CryoGrid Lite, enhancing physical reliability of forecasts. This is in contrast to the traditional 'black-box' structure of neural networks, which usually rely on minimizing errors with respect to observations. An assessment of the impact of including such additional constraints is provided. 

This study explores an hybrid approach between coupling physical process models with the flexibility of data-driven machine learning. The inclusion of physics within AI structures could improve their performance in permafrost modeling, while overcoming the reliability challenge that hampers its adoption in geoscience.

How to cite: Martinez Barberi, D., Beltrami, H., Gondra, I., Richards, A., Ouellet, F., González Rouco, F., and García-Bustamante, E.: Hybrid AI permafrost modelling, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12771, https://doi.org/10.5194/egusphere-egu24-12771, 2024.

X5.191
|
EGU24-13110
|
ECS
Quincy Faber, Madison Flint, Katelyn Palmer, Tatiana Salinas, Yuseung Shin, Matthew Cohen, Ellen Martin, Jonathan Martin, Andrea Pain, and Brent Christner

During summer, exposed ice on the surface of glaciers becomes weathered by solar radiation, creating a ~1 m water-saturated layer of porous ice referred to as the weathering crust aquifer. Here we present results from a hydrological, biogeochemical, and microbiological study of supraglacial waters from the Greenland Ice Sheet margin in proximity to Kangerlussuaq. Through comparisons with supraglacial streams with relatively shorter water residence times, we demonstrate the weathering crust aquifer contains a distinct geochemical composition and unique community of microorganisms that is actively cycling carbon and nutrients. This evidence includes changes in the abundance of organic nutrients and compositional changes in the fluorescent dissolved organic matter properties over the melt season. Sources of organic matter production include photosynthesis, which was indicated by changes in the natural abundance of δ13C in inorganic carbon as well as in experiments where added 13CO2 was incorporated into biomass. Our results show there were relatively high dissolved concentrations of solute in the weathering crust aquifer in relation to supraglacial streams, implying water-sediment interactions occurring in the weathering crust affected the meltwater chemistry. Solutes enriched in the meltwater included trace elements (e.g., Zn, Ni, and Cu) and phosphorus, the latter of which could be due to the presence of apatite, an easily weatherable phosphorus-bearing mineral. Processes affecting the availability of phosphorus in supraglacial waters are significant considering results from nutrient addition experiments that demonstrated the supraglacial phototrophic communities were phosphorus limited. Cell and Chlorophyll a concentrations initially increased with progression of the melt season but decreased the late season, suggesting that much of the new biomass accumulating in the weathering crust aquifer during the summer months was subsequently transported downstream with meltwater. The study site is a component of a ~3000 km2  supraglacial catchment estimated to store ~0.5 km3 of meltwater per season that is discharged to the Akuliarusiarsuup Kuua, highlighting the scale of hydrological and biogeochemical processes influencing ecosystems near the ice sheet margin. Consequently, a better understanding of microbial processes cycling carbon and contributing to nutrient availability in the weathering crust aquifer is needed to decipher the biogeochemical effects on Arctic supraglacial and proglacial systems that are undergoing rapid changes.  

How to cite: Faber, Q., Flint, M., Palmer, K., Salinas, T., Shin, Y., Cohen, M., Martin, E., Martin, J., Pain, A., and Christner, B.: Carbon Cycling and Nutrient Storage in Supraglacial Environments on the western margin of the Greenland Ice sheet, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13110, https://doi.org/10.5194/egusphere-egu24-13110, 2024.

X5.192
|
EGU24-13630
|
ECS
Wenyan Yu, Mi Jiang, and Xiao Cheng

The freezing and thawing processes of the active permafrost layer, driven by temperature variations between summer and winter, lead to surface seasonal uplift and subsidence, which can be captured by time-series InSAR techniques and associated permafrost modeling. As climate change introduces variations in factors like soil moisture and temperature, the seasonal surface deformation experiences interannual and fluctuating variations. However, these variations have often eluded capture due to either the spatiotemporal filtering processes to mitigate atmospheric delay of temporal InSAR and the approximate assumptions in permafrost deformation models. To better capture the dynamic changes in surface deformation caused by permafrost freeze-thaw processes, we develop a seasonally varying deformation method based on Autoregressive Integrated Moving Average Model (ARIMA) time series analysis. Through both synthetic data and real data experiments, we validate that the proposed method can provide more accurate deformation results while capturing the interannual variations in permafrost deformation. The real-data experiment, utilizing Sentinel-1 data, reveals that the maximum seasonal deformations in the continuous permafrost region of northern Alaska exhibit an increasing-decreasing trend from 2017 to 2021, with 2019 showing a relative maximum, correlating with the number of thawing days and air temperature in that year. This study contributes to a deeper understanding of freeze-thaw processes in permafrost regions, providing robust support for analyzing the impact of climate change on surface deformations in permafrost areas.

How to cite: Yu, W., Jiang, M., and Cheng, X.: Time-series InSAR monitoring and analysis of permafrost thaw-subsidence dynamics based on the ARIMA Method, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13630, https://doi.org/10.5194/egusphere-egu24-13630, 2024.

Posters virtual: Tue, 16 Apr, 14:00–15:45 | vHall X5

Display time: Tue, 16 Apr, 08:30–Tue, 16 Apr, 18:00
Chairpersons: Radhakrishna Bangalore Lakshmiprasad, Amanda Barker
vX5.24
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EGU24-7885
|
ECS
Katerina Dermosinoglou, Spyridon E. Detsikas, Loukia-Maria Fratsea, Apostolos G. Papadopoulos, Giuseppe DiCaprio, and George P. Petropoulos

Permafrost, a pivotal component of the Arctic ecosystem, remains particularly vulnerable to the effects of global warming, exerting profound impacts on both environmental and socioeconomic facets. In the light of increasing challenges posed by climate change, understanding and monitoring the dynamics of permafrost regions in the Arctic have gained paramount importance. In response to this critical need, the EO-PERSIST project [https://eo-persist.eu/], a 4 years MSCA staff exchanges project funded by EU, aims to leverage existing services, datasets, and innovative technologies to establish a consistently updated ecosystem with Earth Observation (EO)-based datasets suitable for permafrost applications.

By harnessing advanced EO technologies, including innovative tools and datasets such as cloud platforms, and tapping into an extensive array of remote sensing datasets, EO-PERSIST aspires to revolutionize the monitoring and assessment of permafrost dynamics. The project aims to advance methodological approaches in the field of permafrost by leveraging the huge volume of remote sensing (RS) datasets and providing indicators directly linked to socioeconomic effects from permafrost dynamics.

The aim of this study is twofold: (i) to provide an overview of the EO-PERSIST project and its objectives, and (ii) to present the results of a case study in which EO was utilized to map urban sprawl through monitoring Impervious Surface Areas (ISA), in an Arctic setting characterized by high structural density over the past decade. A pixel-based machine learning classifier in conjunction with Landsat imagery in Google Earth Engine (GEE) cloud platform has been employed to map with high accuracy ISA changes in Tromso area, Norway, from 1993 to 2023. The results of this study not only precisely map the urban changes in the study area but also hold promise of enhancing our comprehension of the dynamics behind urban expansion, the primary factors associated with urban sprawl and their interaction with the challenges posed by climate change in Arctic environments. All in all, results of this case study showcase the overall potential of EO datasets to be used for socioeconomic studies along with the recent advancements in cloud-based platforms paving the way for new opportunities and challenges.

EO-PERSIST project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101086386

How to cite: Dermosinoglou, K., Detsikas, S. E., Fratsea, L.-M., Papadopoulos, A. G., DiCaprio, G., and Petropoulos, G. P.: Advancing Permafrost Monitoring: the EO-PERSIST Project , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7885, https://doi.org/10.5194/egusphere-egu24-7885, 2024.