Modelling ground thermal regime in bordering (dis)continuous permafrost environments

Hrbáček, Filip; Oliva, Marc; Fernandez, J.T.; Kňažková, Michaela; Pablo, Miguel Ángel de

doi:10.1016/j.envres.2019.108901

Cited by 13 publications

(5 citation statements)

References 48 publications

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“…For the TDD, the values from HAYR are two to three times higher than those reported in Maritime Antarctica. Lower FDD and much lower TDD were reported from Livingston Island, Antarctica (Oliva et al, 2017;Hrbáček et al, 2020). Compared to Svalbard, the TDD from the HAYR are larger, while the FDD are lower (Christiansen et al, 2013).…”

Section: Variability Of Fdd Tdd and Fn At The Fine Scalementioning

confidence: 81%

“…An FN larger than 0.5 denotes more FDD than TDD and indicates a dominating freezing regime that favors permafrost thermal stability. In the opposite, an FN smaller than 0.5 indicates a prevailing thawing that favors the thickening of the active layer and the ensued permafrost degradation (Hrbáček et al, 2020). However, the FN is not an absolute confirmation of permafrost presence, which depends on the local ground conditions, especially the surface and thermal offsets to the top of permafrost (Heggem et al, 2006;Rödder and Kneisel, 2012).…”

Section: Gst Data Pre-processing and Analysismentioning

confidence: 98%

“…2b). Thus, iButtons have been largely used in the Arctic (Way and Lewkowicz, 2018;Goncharova et al, 2019;Grünberg et al, 2020), Antarctica (Ferreira et al, 2017;Oliva et al, 2017;Hrbáček et al, 2020;Lim et al, 2022), and alpine environments (Gubler et al, 2011;Gisnås et al, 2014;Bosson et al, 2015;Colombo et al, 2020).…”

Section: Instrumentation and Measurements In The Fieldmentioning

confidence: 99%

“…Negative MAGST or low and stable GSTs in winter were interpreted as a confident indicator of the permafrost occurrence and distribution (Onaca et al, 2015;Vieira et al, 2017;Goncharova et al, 2019;Luo et al, 2019;Wani et al, 2020). However, positive MAGSTs were reported in areas of permafrost boundary conditions from Scandinavia, the Alps, or Antarctica (Ishikawa, 2003;Ikeda, 2006;Etzelmüller et al, 2007;Colombo et al, 2020;Hrbáček et al, 2020). Therefore, due to the large spatiotemporal variability in GST, it was regarded a qualitative indicator to characterize the ground thermal state.…”

Section: Magst As a Permafrost Indicatormentioning

confidence: 99%

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Multiscale observation network of ground surface temperature under different landcover types on NE Qinghai-Tibet Plateau

Șerban

Şerban

Bertoldi

et al. 2023

Preprint

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Abstract. Ground surface temperature (GST), measured at approximately 5 cm in depth is a key parameter controlling subsurface biophysical processes at the land-atmosphere boundary. This work presents a valuable dataset of GST observations at various spatial scales in the Headwater Area of the Yellow River (HAYR). The HAYR is a representative area of high plateau permafrost on northeastern Qinghai-Tibet Plateau (QTP). GST was measured every three hours using 72 iButton temperature loggers (DS1922L) at 39 sites from 2019 to 2020. At each site, GST was recorded in two plots at distances from 2 to 16 m under similar and different landcover conditions (steppe, meadow, swamp meadow, and bare ground). These sensors proved their reliability in harsh environments as only 165 measurements were biased from a total of 210,816. A high significant correlation (> 0.96, p < 0.001) was observed between plots, with a mean absolute error (MAE) of 0.2 to 1.2 °C. The daily intra-plot differences in GST were mainly < 2 °C for sites with similar landcover in both plots and > 2 °C when bare ground was compared to vegetation. From autumn to spring, the differences can increase to 4–5 °C for up to 15 days. The values of the frost number (FN) were quite similar between the plots with differences < 0.05 for most of the sites. This dataset complements the sparse observations of GST on the QTP and helps to identify the permafrost distribution and degradation at high resolution and to validate and calibrate the regional permafrost models. The datasets are openly available in the National Tibetan Plateau/Third Pole Environment Data Center (https://dx.doi.org/10.11888/Cryos.tpdc.272945, Șerban and Jin, 2022).

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Section: Variability Of Fdd Tdd and Fn At The Fine Scalementioning

confidence: 81%

Section: Gst Data Pre-processing and Analysismentioning

confidence: 98%

Section: Instrumentation and Measurements In The Fieldmentioning

confidence: 99%

Section: Magst As a Permafrost Indicatormentioning

confidence: 99%

See 2 more Smart Citations

Multiscale observation network of ground surface temperature under different landcover types on NE Qinghai-Tibet Plateau

Șerban

Şerban

Bertoldi

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…With rising elevation, snow depth could reach more than 100 cm in the upper part of mountains, while the maximum snow depth was only about 20 cm on plains (Zhou et al, 2000). The snow depth threshold (> 40 cm) (Li et al, 2016) of the heat insulation effect differs also significantly from North China (50 ~ 70 cm) (Zhang et al, 2021), to Antarctica (>80 cm) (Hrbacek et al, 2020), Swiss Alps (60 ~ 80 cm) (Rödder & Kneisel, 2012), and other regions.…”

Section: Discussionmentioning

confidence: 99%

Land use and cover change in Northeast China and its impacts on the Xing'an permafrost in 1980s–2010s

Wang

Jin

et al. 2022

Land Degrad Dev

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Boreal forest and wetland have important influences on the development and protection of the ecosystem‐dominated Xing'an permafrost. However, the responses of different ecosystems to climate change and the impacts on the underlying permafrost are still unclear. Here, based on the multi‐period land use/land cover (LULC) data and long‐time series of air temperature, combined with the ordinary least squares (OLS) and ordinary kriging (OK) methods, the effects of land use and cover change (LUCC) on the distribution of mean annual air temperature (MAAT) and permafrost in Northeast China were analyzed. From 1980s to 2010s, MAAT showed an upward trend (0.025°C per yr) and extents of permafrost showed a decreasing trend (−3668 km2yr−1) in Northeast China. Permafrost degradation mainly occurred in forested land and grassland, with areal reductions of 4.0106 × 104 and 3.8754 × 104 km2, respectively. The transformation of LULC aggravates the degradation of permafrost. The conversions of forested land and grassland to cultivated land and forested land to grassland resulted in the shrinkage of permafrost extent by 6233 km2 from 1980s to 2010s . Our results confirm the significant impacts of LUCC on the Xing'an permafrost resulting in its degradation. Additionally, they can provide a scientific basis for ecological environment protection and restoration and sustainable development of boreal forest and wetland ecosystems in permafrost regions of Northeast China.

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Characteristics of the active-layer under the China-Russia Crude Oil pipeline

Şerban

Șerban

et al. 2021

J. Mt. Sci.

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Modelling ground thermal regime in bordering (dis)continuous permafrost environments

Cited by 13 publications

References 48 publications

Multiscale observation network of ground surface temperature under different landcover types on NE Qinghai-Tibet Plateau

Multiscale observation network of ground surface temperature under different landcover types on NE Qinghai-Tibet Plateau

Land use and cover change in Northeast China and its impacts on the Xing'an permafrost in 1980s–2010s

Characteristics of the active-layer under the China-Russia Crude Oil pipeline

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