Permafrost temperature and active-layer thickness of Yakutia with 0.5 degree spatial resolution for model evaluation

Beer, Christian; Fedorov, Alexander N.; Torgovkin, Yaroslav I.

doi:10.5194/essdd-6-153-2013

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…However, for the warmer Bear Bog where permafrost rarely exists and the colder Innoko site where permafrost usually exists, this issue does not arise (Figures S11 and S17 in Supporting Information ). Similar to this study, ALD estimation for sporadic permafrost zones tends to have the largest uncertainties (Beer et al., 2013; Dankers et al., 2011). Therefore, the simulated permafrost dynamics in this region should be interpreted with extra caution.…”

Section: Discussionsupporting

confidence: 77%

A Model Intercomparison Analysis for Controls on C Accumulation in North American Peatlands

et al. 2022

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Peatland biogeochemical processes have not been adequately represented in existing earth system models, which might have biased the quantification of Arctic carbon‐climate feedbacks. We revise the Peatland Terrestrial Ecosystem Model (PTEM) by incorporating additional peatland biogeochemical processes. The revised PTEM is evaluated by comparing with Holocene Peatland Model (HPM) in simulating peat physical and biogeochemical dynamics in three North American peatlands: a permafrost‐free fen site, a permafrost‐free bog site and a permafrost bog site. Peatland carbon dynamics are simulated from peat initiation to 1990 and then to year 2300. Model responses to the changes in temperature and precipitation are analyzed to identify key processes affecting peatland carbon accumulation rates. We find that the net C balance is sensitive to water table depth and nutrient availability. Future simulations to year 2300 are conducted with both models under RCP 2.6, RCP 4.5, and RCP 8.5. PTEM predicts these peatlands to be C sources or weaker C sinks when insufficient precipitation suppresses soil moisture and thereby net N mineralization and net primary production, while HPM predicts the same when drier climate leads to increasing water table depth. Our results highlight the importance of water balance and C‐N feedback on peatland C dynamics. With a warmer climate, these peatlands could become a weaker C sink or a source under drier conditions, otherwise a larger C sink if wetter. Improved understanding to peatland processes can help future quantification of peatland C dynamics in the boreal and Arctic regions.

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Section: Discussionsupporting

confidence: 77%

A Model Intercomparison Analysis for Controls on C Accumulation in North American Peatlands

et al. 2022

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“…29 This region is strongly affected by a dry continental climate with a mean annual air temperature of À9.8 ± 1.8 (1σ) C (1910-2014 mean 30 ). The permafrost temperature (subsoil temperature) and active-layer thickness of the Lena-Amga interfluve region range from À3 C to À2 C and from 1 to 2 m, respectively (1960-1987 mean 31 ).…”

Section: Study Areamentioning

confidence: 99%

Origin of CO₂, CH₄, and N₂O trapped in ice wedges in central Yakutia and their relationship

Yang

Ahn

Iwahana

et al. 2022

Permafrost & Periglacial

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Permafrost thawing as a result of global warming is expected to foster the biological remineralization of intact organic carbon and nitrogen and release greenhouse gas (GHG) into the atmosphere, which will have positive feedback for future global warming. However, GHG budgets and their controls in permafrost ground ice are not yet fully understood. This study aims to better understand the control mechanisms of GHG in ground ice by using new gas and chemistry data. In this study, we present new data on carbon dioxide (CO 2 ), methane (CH 4 ), and nitrous oxide (N 2 O) mixing ratios in three different ice wedges, Churapcha, Syrdakh, and Cyuie, located in central Yakutia, Siberia. The GHG mixing ratios in the studied ice wedges range from 0.0% to 13.8% CO 2 , 1.3-91.2 ppm CH 4 , and 0% and 0-1414 ppm N 2 O. In particular, all three ice wedges demonstrate that ice-wedge samples enriched in CH 4 were depleted in N 2 O mixing ratios and vice versa. N 2 -O 2 -Ar compositions indicate that the studied ice wedges were most likely formed by dry snow or hoarfrost, not by freezing of snow meltwater, and the O 2 -consuming biological metabolism was active. Most of the observed GHG mixing ratios cannot be explained without microbial metabolism.The inhibitory impact of denitrification products of nitrate (including N 2 O) could be an important control of the ice-wedge CH 4 mixing ratio.

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“…Торговкин, Н.Ф. Васильев [7,8], Р.Н. Иванова вместе с японскими коллегами Т. Хийама, И. Иджима и др.…”

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Analysis of Soil Temperature and the Capacity of the Active Layer of Yakutia

Muchina¹,

Nikolaev²

2021

УСЕ (ACNR)

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Permafrost temperature and active-layer thickness of Yakutia with 0.5 degree spatial resolution for model evaluation

Cited by 3 publications

References 10 publications

A Model Intercomparison Analysis for Controls on C Accumulation in North American Peatlands

A Model Intercomparison Analysis for Controls on C Accumulation in North American Peatlands

Origin of CO₂, CH₄, and N₂O trapped in ice wedges in central Yakutia and their relationship

Analysis of Soil Temperature and the Capacity of the Active Layer of Yakutia

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Permafrost temperature and active-layer thickness of Yakutia with 0.5 degree spatial resolution for model evaluation

Cited by 3 publications

References 10 publications

A Model Intercomparison Analysis for Controls on C Accumulation in North American Peatlands

A Model Intercomparison Analysis for Controls on C Accumulation in North American Peatlands

Origin of CO2, CH4, and N2O trapped in ice wedges in central Yakutia and their relationship

Analysis of Soil Temperature and the Capacity of the Active Layer of Yakutia

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Origin of CO₂, CH₄, and N₂O trapped in ice wedges in central Yakutia and their relationship