Sciences in Cold and Arid Regions ›› 2021, Vol. 13 ›› Issue (1): 18-29.doi: 10.3724/SP.J.1226.2021.20059

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Simulated effect of soil freeze-thaw process on surface hydrologic and thermal fluxes in frozen ground region of the Northern Hemisphere

Di Ma1,2,SiQiong Luo1(),DongLin Guo3,ShiHua Lyu4,1,XianHong Meng1,BoLi Chen5,LiHui Luo6   

  1. 1.Key Laboratory for Land Surface Process and Climate Change in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Science, Lanzhou, Gansu 730000, China
    2.College of Atmospheric Sciences, Lanzhou University, Lanzhou, Gansu 730000, China
    3.Nansen-Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
    4.School of Atmospheric Sciences, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu, Sichuan 610225, China
    5.Changzhou Meteorological Bureau, Changzhou, Jiangsu 213000, China
    6.State Key Laboratory of Frozen Soils Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
  • Received:2019-12-24 Accepted:2020-10-22 Online:2021-02-28 Published:2021-02-07
  • Contact: SiQiong Luo E-mail:lsq@lzb.ac.cn
  • Supported by:
    the National Nature Science Foundation of China(42075091);CAREERI STS Funding(Y651671001)

Abstract:

Soil freeze-thaw process is closely related to surface energy budget, hydrological activity, and terrestrial ecosystems. In this study, two numerical experiments (including and excluding soil freeze-thaw process) were designed to examine the effect of soil freeze-thaw process on surface hydrologic and thermal fluxes in frozen ground region in the Northern Hemisphere based on the state-of-the-art Community Earth System Model version 1.0.5. Results show that in response to soil freeze-thaw process, the area averaged soil temperature in the shallow layer (0.0175-0.0451 m) decreases by 0.35 ℃ in the TP (Tibetan Plateau), 0.69 ℃ in CES (Central and Eastern Siberia), and 0.6 ℃ in NA (North America) during summer, and increases by 1.93 ℃ in the TP, 2.28 ℃ in CES and 1.61 ℃ in NA during winter, respectively. Meanwhile, in response to soil freeze-thaw process, the area averaged soil liquid water content increases in summer and decrease in winter. For surface heat flux components, the ground heat flux is most significantly affected by the freeze-thaw process in both summer and winter, followed by sensible heat flux and latent heat flux in summer. In the TP area, the ground heat flux increases by 2.82 W/m2 (28.5%) in summer and decreases by 3.63 W/m2 (40%) in winter. Meanwhile, in CES, the ground heat flux increases by 1.89 W/m2 (11.3%) in summer and decreases by 1.41 W/m2 (18.6%) in winter. The heat fluxes in the Tibetan Plateau are more susceptible to the freeze-thaw process compared with the high-latitude frozen soil regions. Soil freeze-thaw process can induce significant warming in the Tibetan Plateau in winter. Also, this process induces significant cooling in high-latitude regions in summer. The frozen ground can prevent soil liquid water from infiltrating to deep soil layers at the beginning of thawing; however, as the frozen ground thaws continuously, the infiltration of the liquid water increases and the deep soil can store water like a sponge, accompanied by decreasing surface runoff. The influence of the soil freeze-thaw process on surface hydrologic and thermal fluxes varies seasonally and spatially.

Key words: freeze-thaw effect, hydrologic and thermal, frozen ground, Northern Hemisphere

Figure 1

Differences between CTL and NSFT experiments (CTL-NSFT) of the soil ice (kg/m2) in three layers during JJA (left) and DJF (right): (a, b) shallow layer, (c, d) medium layer, and (e, f) deep layer. Yellow box indicates CES (Central and East Siberia); red box indicates NA (North America); red box indicates TP (Tibet Plateau). Colors indicate statistically significant changes (P <0.1)"

Figure 2

Differences between the CTL and NSFT (CTL-NSFT) experiments of the soil liquid water (m3/m3) in three layers during JJA (left) and DJF (right): (a, b) shallow layer, (c, d) medium layer, and (e, f) deep layer. Colors indicate statistically significant changes (P <0.1)"

Figure 3

Simulated differences between CTL and NSFT (CTL-NSFT) of the soil temperature and soil liquid water at three different depths, which are area averaged over three specific regions of (a1, a2, a3) NA, (b1, b2, b3) CES, and (c1, c2, b3) the TP"

Figure 4

Differences between the CTL and NSFT experiments of the soil temperature (℃) in three layers during JJA (left) and DJF (right): (a, b) shallow layer, (c, d) medium layer, and (e, f) deep layer. Colors indicate statistically significant changes (P <0.1)"

Table 1

Differences between the CTL and NSFT experiments (CTL-NSFT) for variables during the summer (JJA) and winter (DJF), averaged over the TP, CES and NA"

(CTL-NSFT)UnitJJADJF
TPCESNATPCESNA
Soil temperature (S)-0.350.69-0.601.932.281.61
Soil temperature (M)-0.72-1.85-1.302.292.461.76
Soil temperature (D)-1.81-1.68-1.273.322.631.80
2-m air temperature-0.14-0.44-0.451.57-0.29-0.10
Surface temperature-0.25-0.44-0.411.75-0.25-0.06
Net radiation fluxW/m2-0.097-0.843-1.626-0.849-1.114-0.045
Latent heatW/m2

0.32

(0.4%)

-0.42

(-0.8%)

-0.30

(-0.7%)

0.66

(5%)

0.12

(21.8%)

0.26

(14.9%)

Sensible heatW/m2

-3.21

(-7.5%)

-1.82

(-4.4%)

-2.53

(-7.1%)

2.10

(2.16%)

0.18

(1.1%)

0.62

(3.2%)

Ground heatW/m2

2.82

(28.5%)

1.89

(11.3%)

1.92

(13.5%)

-3.63

(-40.8%)

-1.41

(-18.6%)

-1.01

(-14.9%)

Figure 5

Differences between the CTL and NSFT (CTL-NSFT) experiments of the ground heat flux (a, b), sensible heat flux (c, d), ground source heat flux (e, f) and latent heat flux (g, h), (Unit: W/m2). Left column is in JJA; right column is in DJF. Colors indicate statistically significant changes (P <0.1)"

Figure 6

Simulated differences between CTL and NSFT (CTL-NSFT) of the energy budget components, including latent heat, sensible heat and ground heat, in the three specific regions of (a) NA, (b) CES, and (c) TP"

Figure 7

Simulated differences between CTL and NSFT (CTL-NSFT) of the water cycle components, including infiltration, runoff, precipitation, and evaporation, in the three specific regions of (a) NA, (b) CES, and (c) TP"

Figure 8

Simulated differences between CTL and NSFT (CTL-NSFT) in the vertical profiles of vertical motion, in the three specific regions of (a) NA, (b) CES, and (c) TP (Pa/s)"

Figure 9

Runoff (first row) and infiltration (second row) in CTL and NSFT simulations in three specific regions: (a, d) NA, (b, e) CES, and (c, f) the TP. For runoff, with the shaded area indicating that runoff in NSFT is larger than that in CTL; and infiltration, with the shaded area indicating that infiltration in CTL is larger than that in NSFT"

Burke EJ, Jones CD, Koven CD, 2013. Estimating the permafrost-carbon climate response in the CMIP5 Climate Models using a simplified approach. Journal of Climate, 26(14): 4897-4909. DOI: 10.1175/Jcli-D-12-00550.1.
doi: 10.1175/Jcli-D-12-00550.1
Chen BL, Luo SQ, Lu SH, et al., 2014. Effects of the soil freeze-thaw process on the regional climate of the Qinghai-Tibet Plateau. Climate Research, 59(3): 243-257. DOI: 10. 3354/cr01217.
doi: 10. 3354/cr01217
Collins WD, Bitz CM, Blackmon ML, et al., 2006. The Community Climate System Model version 3 (CCSM3). Journal of Climate, 19(11): 2122-2143. DOI: 10.1175/JCLI3761.1.
doi: 10.1175/JCLI3761.1
Cuo L, Zhang YX, Bohn TJ, et al., 2015. Frozen soil degradation and its effects on surface hydrology in the northern Tibetan Plateau. Journal of Geophysical Research-Atmospheres, 120(16): 8276-8298. DOI: 10.1002/2015jd023193.
doi: 10.1002/2015jd023193
Flanner MG, Zender CS, Randerson JT, et al., 2007. Present-day climate forcing and response from black carbon in snow. Journal of Geophysical Research-Atmospheres, 112(D11): 1-17. DOI: 10.1029/2006jd008003.
doi: 10.1029/2006jd008003
Guo DL, Sun JQ, 2015. Permafrost thaw and associated settlement hazard onset timing over the Qinghai-Tibet Engineering Corridor. International Journal of Disaster Risk Science, 6(4): 347-358. DOI: 10.1007/s13753-015-0072-3.
doi: 10.1007/s13753-015-0072-3
Guo DL, Wang HJ, 2016. CMIP5 permafrost degradation projection: A comparison among different regions. Journal of Geophysical Research-Atmospheres, 121(9): 4499-4517. DOI: 10.1002/2015jd024108.
doi: 10.1002/2015jd024108
Guo DL, Yang MX, Wang HJ, 2011a. Characteristics of land surface heat and water exchange under different soil freeze/thaw conditions over the central Tibetan Plateau. Hydrological Processes, 25(16): 2531-2541. DOI: 10.1002/hyp.8025.
doi: 10.1002/hyp.8025
Guo DL, Yang MX, Wang HJ, 2011b. Sensible and latent heat flux response to diurnal variation in soil surface temperature and moisture under different freeze/thaw soil conditions in the seasonal frozen soil region of the central Tibetan Plateau. Environmental Earth Sciences, 63(1): 97-107. DOI: 10.1007/s12665-010-0672-6.
doi: 10.1007/s12665-010-0672-6
Ishikawa M, Zhang YS, Kadota T, et al., 2006. Hydrothermal regimes of the dry active layer. Water Resources Research, 42(4): 1-10. DOI: 10.1029/2005wr004200.
doi: 10.1029/2005wr004200
Koven CD, Chambers JQ, Georgiou K, et al., 2015. Controls on terrestrial carbon feedbacks by productivity versus turnover in the CMIP5 Earth System Models. Biogeosciences, 12(17): 5211-5228. DOI: 10.5194/bg-12-5211-2015.
doi: 10.5194/bg-12-5211-2015
Lachenbruch AH, Marshall BV, 1986. Changing climate: geothermal evidence from permafrost in the alaskan arctic. Science, 234(4777): 689-696. DOI: 10.1126/science.234. 4777.689.
doi: 10.1126/science.234. 4777.689
Lawrence DM, Oleson KW, Flanner MG, et al., 2011. Parameterization Improvements and Functional and Structural Advances in Version 4 of the Community Land Model. Journal of Advances in Modeling Earth Systems, 3: 1-27. DOI: 10.1029/2011ms000045.
doi: 10.1029/2011ms000045
Lawrence DM, Slater AG, Romanovsky VE, et al., 2008. Sensitivity of a model projection of near-surface permafrost degradation to soil column depth and representation of soil organic matter. Journal of Geophysical Research-Earth Surface, 113: F02011. DOI: 10.1029/2007jf000883.
doi: 10.1029/2007jf000883
Li SX, Nan Z, Zhao L, 2002a. Impact of soil freezing and thawing process on thermal exchange between atmosphere and ground surface. Journal of Glaciolgy and Geocryology, 24(5): 506-511. (in Chinese)
Li SX, Nan Z, Zhao L, 2002b. Impact of freezing and thawing on energy exchange between the system and environment. Journal of Glaciolgy and Geocryology, 24(2): 109-115. (in Chinese)
Li X, Jin R, Pan XD, et al., 2012. Changes in the near-surface soil freeze-thaw cycle on the Qinghai-Tibetan Plateau. International Journal of Applied Earth Observation and Geoinformation, 17: 33-42. DOI: 10.1016/j.jag.2011.12.002.
doi: 10.1016/j.jag.2011.12.002
Liljedahl AK, Boike J, Daanen RP, et al., 2016. Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology. Nature Geoscience, 9(4): 312-318. DOI: 10.1038/Ngeo2674.
doi: 10.1038/Ngeo2674
Luo S, Fang X, Lyu S, et al., 2016. Frozen ground temperature trends associated with climate change in the Tibetan Plateau Three River Source Region from 1980 to 2014. Climate Research, 67(3): 241-255. DOI: 10.3354/cr01371.
doi: 10.3354/cr01371
Luo SQ, Fang XW, Lyu SH, et al., 2017. Interdecadal changes in the freeze depth and period of frozen soil on the Three Rivers Source Region in China from 1960 to 2014. Advances in Meteorology, 2017(5): 1-14. DOI: 10.1155/2017/5931467.
doi: 10.1155/2017/5931467
Luo SQ, Lu SH, Zhang Y, 2009. Development and validation of the frozen soil parameterization scheme in Common Land Model. Cold Regions Science and Technology, 55(1): 130-140. DOI: 10.1016/j.coldregions.2008.07.009.
doi: 10.1016/j.coldregions.2008.07.009
Nelson FE, Anisimov OA, Shiklomanov NI, 2001. Subsidence risk from thawing permafrost-The threat to man-made structures across regions in the far north can be monitored. Nature, 410(6831): 889-890. DOI: 10.1038/35073746.
doi: 10.1038/35073746
Poutou E, Krinner G, Genthon C, et al., 2004. Role of soil freezing in future boreal climate change. Climate Dynamics, 23(6): 621-639. DOI: 10.1007/s00382-004-0459-0.
doi: 10.1007/s00382-004-0459-0
Romanovsky VE, Smith SL, Christiansen HH, 2010. Permafrost thermal state in the polar northern hemisphere during the international polar year 2007-2009: a synthesis. Permafrost and Periglacial Processes, 21(2): 106-116. DOI: 10. 1002/ppp.689.
doi: 10. 1002/ppp.689
Sakaguchi K, Zeng XB, 2009. Effects of soil wetness, plant litter, and under-canopy atmospheric stability on ground evaporation in the Community Land Model (CLM3.5). Journal of Geophysical Research-Atmospheres, 114: 1-14. DOI: 10.1029/2008jd010834.
doi: 10.1029/2008jd010834
Schuur EA, McGuire AD, Schadel C, et al., 2015. Climate change and the permafrost carbon feedback. Nature, 520(7546): 171-179. DOI: 10.1038/nature14338.
doi: 10.1038/nature14338
Slater AG, Lawrence DM, 2013. Diagnosing present and future permafrost from climate models. Journal of Climate, 26(15): 5608-5623. DOI: 10.1175/Jcli-D-12-00341.1.
doi: 10.1175/Jcli-D-12-00341.1
Wang GX, Hu HC, Li TB, 2009. The influence of freeze-thaw cycles of active soil layer on surface runoff in a permafrost watershed. Journal of Hydrology, 375(3-4): 438-449. DOI: 10.1016/j.jhydrol.2009.06.046.
doi: 10.1016/j.jhydrol.2009.06.046
Yamazaki Y, Kubota J, Ohata T, et al., 2006. Seasonal changes in runoff characteristics on a permafrost watershed in the southern mountainous region of eastern Siberia. Hydrological Processes, 20(3): 453-467. DOI: 10.1002/hyp.5914.
doi: 10.1002/hyp.5914
Yang MX, Nelson FE, Shiklomanov NI, et al., 2010. Permafrost degradation and its environmental effects on the Tibetan Plateau: A review of recent research. Earth-Science Reviews, 103(1-2): 31-44. DOI: 10.1016/j.earscirev.2010. 07.002.
doi: 10.1016/j.earscirev.2010. 07.002
Yang MX, Yao TD, Gou XH, et al., 2007. Diurnal freeze/thaw cycles of the ground surface on the Tibetan Plateau. Chinese Science Bulletin, 52(1): 136-139. DOI: 10.1007/s11434-007-0004-8.
doi: 10.1007/s11434-007-0004-8
Zeng XB, Decker M, 2009. Improving the numerical solution of soil moisture-based Richards Equation for Land Models with a deep or shallow water table. Journal of Hydrometeorology, 10(1): 308-319. DOI: 10.1175/2008jhm1011.1.
doi: 10.1175/2008jhm1011.1
Zhang T, Barry R, Knowles K, et al., 2008. Statistics and characteristics of permafrost and ground-ice distribution in the Northern Hemisphere. Polar Geography, 31(1-2): 47-68. DOI: 10.1080/10889370802175895.
doi: 10.1080/10889370802175895
Zimov SA, Schuur EA, Chapin FS, 2006. Climate change. Permafrost and the global carbon budget. Science, 312(5780): 1612-1613. DOI: 10.1126/science.1128908.
doi: 10.1126/science.1128908
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