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The Arctic poses many challenges to Earth System and snow physics models, which are unable to simulate crucial Arctic snowpack processes, such as vapour gradients and rain-on-snow-induced ice layers. These limitations raise concerns about the current understanding of Arctic warming and its impact on biodiversity, livelihoods, permafrost and the global carbon budget. Recognizing that models are shaped by human choices, eighteen Arctic researchers were interviewed to delve into the decision-making process behind model construction. Although data availability, issues of scale, internal model consistency, and historical and numerical model legacies were cited as obstacles to developing an Arctic snowpack model, no opinion was unanimous. Divergences were not merely scientific disagreements about the Arctic snowpack, but reflected the broader research context. Inadequate and insufficient resources partly driven by short-term priorities dominating research landscapes, impeded progress. Nevertheless, modellers were found to be both adaptable to shifting strategic research priorities – an adaptability demonstrated by the fact that interdisciplinary collaborations were the key motivation for model development – and anchored in the past. This anchoring led to diverging opinions about whether existing models are "good enough" and whether investing time and effort to build a new model was a useful strategy when addressing pressing research challenges. Moving forward, we recommend that both stakeholders and modellers be involved in future snow model intercomparison projects in order to drive developments that address snow model limitations that currently impede progress in various disciplines. We also argue for more transparency about the contextual factors that shape research decisions. Otherwise, the reality of our scientific process will remain hidden, limiting the changes necessary to our research practice. [ABSTRACT FROM AUTHOR]

The present study examines the formation history and cryolithological properties of the late-Pleistocene Yedoma Ice Complex (IC) and its Holocene cover in the eastern Lena delta on Sobo-Sise Island. The sedimentary sequence was continuously sampled at 0.5 m resolution at a vertical Yedoma cliff starting from 24.2 m above river level (a.r.l.). The sequence differentiates into three cryostratigraphic units: Unit A, dated from ca. 52 to 28 cal kyr BP; Unit B, dated from ca. 28 to 15 cal kyr BP; Unit C, dated from ca. 7 to 0 cal kyr BP. Three chronologic gaps in the record are striking. The hiatus during the interstadial marine isotope stage (MIS) 3 (36–29 cal kyr BP) as well as during stadial MIS 2 (20–17 cal kyr BP) might be related to fluvial erosion and/or changed discharge patterns of the Lena river caused by repeated outburst floods from the glacial Lake Vitim in southern Siberia along the Lena river valley towards the Arctic Ocean. The hiatus during the MIS 2–1 transition (15–7 cal kyr BP) is a commonly observed feature in permafrost chronologies due to intense thermokarst activity of the deglacial period. The chronologic gaps of the Sobo-Sise Yedoma record are similarly found at two neighbouring Yedoma IC sites on Bykovsky Peninsula and Kurungnakh-Sise Island and are most likely of regional importance. The three cryostratigraphic units of the Sobo-Sise Yedoma exhibit distinct signatures in properties of their clastic, organic, and ice components. Higher permafrost aggradation rates of 1 m kyr -1 with higher organic-matter (OM) stocks (29 ± 15 kg C m -3 , 2.2 ± 1.0 kg N m -3 ; Unit A) and mainly coarse silt are found for the interstadial MIS 3 if compared to the stadial MIS 2 with 0.7 m kyr -1 permafrost aggradation, lower OM stocks (14 ± 8 kg C m -3 , 1.4 ± 0.4 kg N m -3 ; Unit B), and pronounced peaks in the coarse-silt and medium-sand fractions. Geochemical signatures of intra-sedimental ice reflect the differences in summer evaporation and moisture regime by higher ion content and less depleted ratios of stable δ18 O and stable δ D isotopes but lower deuterium excess (d) values during interstadial MIS 3 if compared to stadial MIS 2. The δ18 O and δ D composition of MIS 3 and MIS 2 ice wedges shows characteristic well-depleted values and low d values, while MIS 1 ice wedges have elevated mean d values between 11 ‰ and 15 ‰ and surprisingly low δ18 O and δ D values. Hence, the isotopic difference between late-Pleistocene and Holocene ice wedges is more pronounced in d than in δ values. The present study of the permafrost exposed at the Sobo-Sise Yedoma cliff provides a comprehensive cryostratigraphic inventory, insights into permafrost aggradation, and degradation over the last approximately 52 kyr as well as their climatic and morphodynamic controls on the regional scale of the central Laptev Sea coastal region in NE Siberia. [ABSTRACT FROM AUTHOR]

The late Pleistocene Yedoma Ice Complex is an ice-rich and organic-bearing type of permafrost deposit widely distributed across Beringia and is assumed to be especially prone to deep degradation with warming temperature, which is a potential tipping point of the climate system. To better understand Yedoma formation, its local characteristics, and its regional sedimentological composition, we compiled the grain-size distributions (GSDs) of 771 samples from 23 Yedoma locations across the Arctic; samples from sites located close together were pooled to form 17 study sites. In addition, we studied 160 samples from three non-Yedoma ice-wedge polygon and floodplain sites for the comparison of Yedoma samples with Holocene depositional environments. The multimodal GSDs indicate that a variety of sediment production, transport, and depositional processes were involved in Yedoma formation. To disentangle these processes, a robust endmember modeling analysis (rEMMA) was performed. Nine robust grain-size endmembers (rEMs) characterize Yedoma deposits across Beringia. The study sites of Yedoma deposits were finally classified using cluster analysis. The resulting four clusters consisted of two to five sites that are distributed randomly across northeastern Siberia and Alaska, suggesting that the differences are associated with rather local conditions. In contrast to prior studies suggesting a largely aeolian contribution to Yedoma sedimentation, the wide range of rEMs indicates that aeolian sedimentation processes cannot explain the entire variability found in GSDs of Yedoma deposits. Instead, Yedoma sedimentation is controlled by local conditions such as source rocks and weathering processes, nearby paleotopography, and diverse sediment transport processes. Our findings support the hypothesis of a polygenetic Yedoma origin involving alluvial, fluvial, and niveo-aeolian transport; accumulation in ponding waters; and in situ frost weathering as well as postdepositional processes of solifluction, cryoturbation, and pedogenesis. The characteristic rEM composition of the Yedoma clusters will help to improve how grain-size-dependent parameters in permafrost models and soil carbon budgets are considered. Our results show the characteristic properties of ice-rich Yedoma deposits in the terrestrial Arctic. Characterizing and quantifying site-specific past depositional processes is crucial for elucidating and understanding the trajectories of this unique kind of ice-rich permafrost in a warmer future. Kurzfassung: Der spätpleistozäne Yedoma Eiskomplex ist ein eisreicher und organikhaltiger Permafrosttyp, der in Beringia weit verbreitet ist. Durch den hohen Eisanteil wird der Yedoma Eiskomplex im Zuge des Klimawandels als besonders anfällig für tiefgreifende Störungen betrachtet und damit ein potentieller Kipppunkt des Klimasystems. Um seine Entstehung, die lokalen Eigenschaften und die regionale sedimentologische Zusammensetzung besser zu verstehen, haben wir die Korngrößenverteilung von 771 Proben an 23 Yedoma-Standorten in der Arktis zusammengestellt; räumlich eng zusammenhängende Probenserien wurden zu 17 Untersuchungsstandorten zusammengefasst. Darüber hinaus wurden 160 Proben aus nicht Yedoma-Ablagerungen von drei Eiskeilpolygon- und Überschwemmungsgebieten als holozäne Referenzen untersucht. Die multimodalen Korngrößenverteilungen zeigen, dass eine Vielzahl von Sedimentbildungs-, Transport- und Ablagerungsprozessen an der Yedoma-Entstehung beteiligt waren. Um diese Prozesse zu erkennen, wurde eine robuste Endmembermodellierungsanalyse (rEMMA) durchgeführt. Neun robuste Endmember (rEM) charakterisieren die Yedoma-Ablagerungen über ganz Beringia. Die untersuchten Standorte der Yedoma-Ablagerungen wurden anschließend mittels Clusteranalyse klassifiziert. Die daraus resultierenden vier Cluster umfassen zwei bis fünf Untersuchungsstandorte, die unregelmäßig über den Nordosten Sibiriens und Alaska verteilt sind. Die breite Palette von rEMs zeigt, dass nicht allein äolische Sedimentationsprozesse für die Variabilität in den Korngrößenverteilungen von Yedoma-Ablagerungen verantwortlich sind. Vielmehr wird die Sedimentation der Yedoma-Ablagerungen eher durch lokale Bedingungen wie Ausgangsgesteine, ehemalige Topographie und multiple Transportprozesse gesteuert. Das stützt die Hypothese einer polygenetischen Yedoma-Entstehung, die alluvialen, fluvialen und nival-äolischen Transport und Akkumulation in polygonalen Tümpeln und in-situ Frostverwitterung sowie postsedimentäre Frostverwitterung, Solifluktion, Kryoturbation und Pedogenese beinhaltet. Die charakteristische rEM Zusammensetzung der Yedoma Cluster kann auch helfen korngrößenspezifische Parameter besser in der Kohlenstoffbudgetierung und Permafrostmodellierung zu berücksichtigen. Damit trägt die Charakterisierung und Quantifizierung standortspezifischer Ablagerungsprozesse in der Vergangenheit dazu bei, die charakteristischen Eigenschaften eisreicher Yedoma-Ablagerungen in der terrestrischen Arktis aufzuklären. Dies ist entscheidend für das Verständnis der Fortentwicklung dieses besonderen Permafrosttyps in einer wärmeren Zukunft. [ABSTRACT FROM AUTHOR]

Permafrost is an Essential Climate Variable (ECV) within the Global Climate Observing System (GCOS), which is characterized by subsurface temperatures and the depth of the seasonal thaw layer. Complementing ground-based monitoring networks, the Permafrost CCI project funded by the European Space Agency (ESA) 2018-2021 will establish Earth Observation (EO) based products for the permafrost ECV spanning the last two decades. Since ground temperature and thaw depth cannot be directly observed from space-borne sensors, we will ingest a variety of satellite and reanalysis data in a ground thermal model, which allows to quantitatively characterize the changing permafrost systems in Arctic and High-Mountain areas. As recently demonstrated for the Lena River Delta in Northern Siberia, the algorithm uses remotely sensed data sets of Land Surface Temperature (LST), Snow Water Equivalent (SWE) and landcover to drive the transient permafrost model CryoGrid 2, which yields ground temperature at various depths, in addition to thaw depth. For the circumpolar CCI product, we aim for a spatial resolution of 1km, and ensemble runs will be performed for each pixel to represent the subgrid variability of snow and land cover. The performance of the transient algorithm crucially depends on the correct representation of ground properties, in particular ice and organic contents. Therefore, the project will compile a new subsurface stratigraphy product which also holds great potential for improving Earth System Model results in permafrost environments.We present simulation runs for various permafrost regions and characterize the accuracy and ability to reproduce trends against ground-based data. Finally, we evaluate the feasibility of future "permafrost reanalysis" products, exploiting the information content of various satellite products to deliver the best possible estimate for the permafrost thermal state over a range of spatial scales. [ABSTRACT FROM AUTHOR]