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

Beer, Christian; Fedorov, A.A.; Torgovkin, Yaroslav I.

doi:10.5194/essd-5-305-2013

Cited by 28 publications

(42 citation statements)

References 12 publications

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“…16). Also the active layer thickness over the Yakutia region is consistent with the data from Beer et al (2013) (Fig. 16).…”

Section: Physical Processessupporting

confidence: 80%

“…The circum-arctic map of permafrost and ground ice conditions from is available at http://nsidc.org/data/docs/fgdc/ggd318_map_circumarctic/. The active-layer thickness of Yakutia from Beer et al (2013) is available at doi:10.1594/PANGAEA.808240. The GPP data from the MTE approach (Jung et al, 2009) can be downloaded after registration at https://www.bgc-jena.mpg.de/geodb/projects/Data.php.…”

Section: Data Availabilitymentioning

confidence: 99%

See 1 more Smart Citation

PALADYN v1.0, a comprehensive land surface–vegetation–carbon cycle model of intermediate complexity

Willeit

Ganopolski

2016

Geosci. Model Dev.

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Abstract. PALADYN is presented; it is a new comprehensive and computationally efficient land surface-vegetationcarbon cycle model designed to be used in Earth system models of intermediate complexity for long-term simulations and paleoclimate studies.The model treats in a consistent manner the interaction between atmosphere, terrestrial vegetation and soil through the fluxes of energy, water and carbon. Energy, water and carbon are conserved. PALADYN explicitly treats permafrost, both in physical processes and as an important carbon pool. It distinguishes nine surface types: five different vegetation types, bare soil, land ice, lake and ocean shelf. Including the ocean shelf allows the treatment of continuous changes in sea level and shelf area associated with glacial cycles. Over each surface type, the model solves the surface energy balance and computes the fluxes of sensible, latent and ground heat and upward shortwave and longwave radiation. The model includes a single snow layer.

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“…16). Also the active layer thickness over the Yakutia region is consistent with the data from Beer et al (2013) (Fig. 16).…”

Section: Physical Processessupporting

confidence: 80%

Section: Data Availabilitymentioning

confidence: 99%

PALADYN v1.0, a comprehensive land surface–vegetation–carbon cycle model of intermediate complexity

Willeit

Ganopolski

2016

Geosci. Model Dev.

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“…4). Figure B1 compares the spatial patterns of subsoil temperature and active layer thickness estimated by JSBACH to observations from Beer et al (2013) for the region of Yakutia. JSBACH underestimates subsoil temperature to a similar extent as the version presented in Ekici et al (2014).…”

Section: Appendix B: Model Evaluationmentioning

confidence: 99%

Effects of bryophyte and lichen cover on permafrost soil temperature at large scale

2016

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Abstract. Bryophyte and lichen cover on the forest floor at high latitudes exerts an insulating effect on the ground. In this way, the cover decreases mean annual soil temperature and can protect permafrost soil. Climate change, however, may change bryophyte and lichen cover, with effects on the permafrost state and related carbon balance. It is, therefore, crucial to predict how the bryophyte and lichen cover will react to environmental change at the global scale. To date, current global land surface models contain only empirical representations of the bryophyte and lichen cover, which makes it impractical to predict the future state and function of bryophytes and lichens. For this reason, we integrate a process-based model of bryophyte and lichen growth into the global land surface model JSBACH (Jena Scheme for Biosphere-Atmosphere Coupling in Hamburg). The model simulates bryophyte and lichen cover on upland sites. Wetlands are not included. We take into account the dynamic nature of the thermal properties of the bryophyte and lichen cover and their relation to environmental factors. Subsequently, we compare simulations with and without bryophyte and lichen cover to quantify the insulating effect of the organisms on the soil.We find an average cooling effect of the bryophyte and lichen cover of 2.7 K on temperature in the topsoil for the region north of 50 • N under the current climate. Locally, a cooling of up to 5.7 K may be reached. Moreover, we show that using a simple, empirical representation of the bryophyte and lichen cover without dynamic properties only results in an average cooling of around 0.5 K. This suggests that (a) bryophytes and lichens have a significant impact on soil temperature in high-latitude ecosystems and (b) a processbased description of their thermal properties is necessary for a realistic representation of the cooling effect. The advanced land surface scheme, including a dynamic bryophyte and lichen model, will be the basis for an improved future projection of land-atmosphere heat and carbon exchange.

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“…For this comparison we used JSBACH mean soil temperature results from layer 7 (38 m depth) and during 1980-1989. Then, spatial details of MAGT are compared to the information from the Geocryological Map of Yakutia (Beer et al, 2013a) using also model results from layer 7 but a mean value during 1960-1989. The depth of 38 m ensures that temperature variation is negligible and hence comparable to the information in the observation-based map.…”

Section: Mean Annual Ground Temperature Evaluationmentioning

confidence: 99%

“…The depth of 38 m ensures that temperature variation is negligible and hence comparable to the information in the observation-based map. The time period represents observations used to create this map (Beer et al, 2013a). Last, JSBACH subsoil temperature is compared to pan-Arctic borehole measurements collected by the Global Terrestrial Network for Permafrost (GTN-P) initiative Christiansen et al, 2010; using model results from the layer corresponding to the measurement depth and from the year 2008.…”

Section: Mean Annual Ground Temperature Evaluationmentioning

confidence: 99%

Effects of short-term variability of meteorological variables on soil temperature in permafrost regions

et al. 2018

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Abstract. Effects of the short-term temporal variability of meteorological variables on soil temperature in northern high-latitude regions have been investigated. For this, a process-oriented land surface model has been driven using an artificially manipulated climate dataset. Short-term climate variability mainly impacts snow depth, and the thermal diffusivity of lichens and bryophytes. These impacts of climate variability on insulating surface layers together substantially alter the heat exchange between atmosphere and soil. As a result, soil temperature is 0.1 to 0.8 • C higher when climate variability is reduced. Earth system models project warming of the Arctic region but also increasing variability of meteorological variables and more often extreme meteorological events. Therefore, our results show that projected future increases in permafrost temperature and active-layer thickness in response to climate change will be lower (i) when taking into account future changes in short-term variability of meteorological variables and (ii) when representing dynamic snow and lichen and bryophyte functions in land surface models.

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

Cited by 28 publications

References 12 publications

PALADYN v1.0, a comprehensive land surface–vegetation–carbon cycle model of intermediate complexity

PALADYN v1.0, a comprehensive land surface–vegetation–carbon cycle model of intermediate complexity

Effects of bryophyte and lichen cover on permafrost soil temperature at large scale

Effects of short-term variability of meteorological variables on soil temperature in permafrost regions

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