Page 51 - 《高原气象》2025年第5期
P. 51
5 期 李博渊等:青藏高原多年冻土冻融参量时空变化特征及影响因子研究 1169
near‐surface soil freeze/thaw cycle using CLM4. 5 with four atmo‐ 42. DOI: 10. 1016/j. jag. 2011. 12. 002.
spheric forcing data sets[J]. Journal of Geophysical Research: At‐ Luo S Q, Fang X W, Lyu S H, et al, 2017. Improving CLM4. 5 simu‐
mospheres, 123(5): 2509-2523. DOI: 10. 1002/2017JD028097. lations of land-atmosphere exchange during freeze-thaw processes
Guo D L, Wang H J, 2013. Simulation of permafrost and seasonally on the Tibetan Plateau[J]. Journal of Meteorological Research,
frozen ground conditions on the Tibetan Plateau, 1981-2010[J]. 31(5): 916-930. DOI: org/10. 1007/s13351-017-6063-0.
Journal of Geophysical Research, 118(11): 5216-5230. DOI: Luo S Q, Fang X W, Lyu S H, et al, 2016. Frozen ground tempera‐
10. 1002/jgrd. 50457. ture trends associated with climate change in the Tibetan Plateau
Guo D L, Wang H J, 2016. Permafrost degradation and associated Three River Source Region from 1980 to 2014[J]. Climate Re‐
ground settlement estimation under 2 ℃ global warming[J]. Cli‐ search, 67(3): 241-255. DOI: 10. 3354/cr01371.
mate Dynamics, 49: 2569-2583. DOI: /10. 1007/s00382-016- Luo S Q, Wang J Y, Pomeroy J W, et al, 2020. Freeze-thaw changes
3469-9. of seasonally frozen ground on the Tibetan Plateau from 1960 to
Guo D L, Wang H, 2014. Simulated change in the near-surface soil 2014[J]. Journal of Climate, 33(21): 9427-9446. DOI:
freeze/thaw cycle on the Tibetan Plateau from 1981 to 2010[J]. 10. 1175/JCLI-D-19-0923. 1.
Chinese Science Bulletin, 59(20): 2439-2448. DOI: 10. 1007/ Peng Q, Jia B H, Lai X, et al, 2023. Characteristics of near‐surface
s11434-014-0347-x. soil freeze-thaw status using high resolution CLM5. 0 simulations
Han J Y, Miao C Y, Gou J J, et al, 2023. A new daily gridded precip‐ on the Tibetan Plateau[J]. Atmospheric Science Letters, 24(8):
itation dataset for the Chinese mainland based on gauge observa‐ e1168. DOI: 10. 1002/asl. 1168.
tions[J]. Earth System Science Data, 15(7): 3147-3161. DOI: Qiu J, 2008. China: the third pole[J]. Nature, 454(7203): 393-396.
10. 5194/essd-15-3147-2023. DOI: 10. 1038/454393a.
He J, Yang K, Tang W J, et al, 2020. The first high-resolution meteo‐ Schmidt M W, Torn M S, Abiven S, et al, 2011. Persistence of soil
rological forcing dataset for land process studies over China[J]. organic matter as an ecosystem property[J]. Nature, 478: 49-56.
Scientific Data, 7(1): 25. DOI: /10. 1038/s41597-020-0369-y. DOI: 10. 1038/nature10386.
Hjort J, Karjalainen O, Aalto J, et al, 2018. Degrading permafrost Sharratt B S, Benoit G R, Voorhees W B, 1998. Winter soil microcli‐
puts arctic infrastructure at risk by mid-century[J]. Nature Com‐ mate altered by corn residue management in the northern corn belt
munications, 9(1): 5147. DOI: 10. 1038/s41467-018-07557-4. of the USA[J]. Soil and Tillage Research, 49(3): 243-248.
Jiang K, Pan Z H, Pan F F, et al, 2023. Combined influence of soil DOI: 10. 1016/s01671987(98)00181-0.
moisture and atmospheric humidity on land surface temperature Su F G, Pritchard H, Yao T D, et al, 2022. Contrasting fate of west‐
under different climatic background[J]. iScience, 26(6): ern third pole’s water resources under 21st century climate change
106837. DOI: 10. 1016/j. isci. 2023. 106837. [J]. Earth’s Future, 10(9): e2022EF002776. DOI: 10. 1029/
Jiang Z Y, Huete A R, Chen J, et al, 2006. Analysis of NDVI and 2022EF002776.
scaled difference vegetation index retrievals of vegetation fraction Swenson S C, Lawrence D, Lee H, 2012. Improved simulation of the
[J]. Remote Sensing of Environment, 101(3): 366-378. DOI: terrestrial hydrological cycle in permafrost regions by the commu‐
10. 1016/j. rse. 2006. 01. 003. nity land model[J]. Journal of Advances in Modeling Earth Sys‐
Lai X, Yao S Y, Cen S X, et al, 2024. Changes in the spatiotemporal tems, 4(3): M08002. DOI: 10. 1029/2012MS000165.
distribution of the timing and duration of the soil freeze-thaw sta‐ Wang J Y, Luo S Q, Li Z G, et al, 2019. The freeze/thaw process and
tus from 1979 to 2018 over the Tibetan Plateau[J]. International the surface energy budget of the seasonally frozen ground in the
Journal of Climatology, 44(14): 4963-4983. DOI: 10. 1002/ source region of the Yellow River[J]. Theoretical and Applied
joc. 8617. Climatology, 138: 1631-1646. DOI: 10. 1007/s00704-019-
Lawrence D M, Fisher R A, Koven C D, et al, 2019. The community 02917-6.
land model version 5: description of new features, benchmark‐ Wang J, Liu D S, 2021, Vegetation green‐up date is more sensitive to
ing, and impact of forcing uncertainty[J]. Journal of Advances in permafrost degradation than climate change in spring across the
Modeling Earth Systems, 11(12): 4245-4287. DOI: 10. 1029/ northern permafrost region[J]. Global Change Biology, 28(4):
2018MS001583. 1569-1582. DOI: 10. 1111/gcb. 16011.
Li H D, Jiang J, Chen B, et al, 2016. Pattern of NDVI-based vegeta‐ Wang K, Zhang T, Zhong X, et al, 2015. Changes in the timing and
tion greening along an altitudinal gradient in the eastern himala‐ duration of the near-surface soil freeze/thaw status from 1956 to
yas and its response to global warming[J]. Environmental Moni‐ 2006 across China[J]. The Cryosphere, 9(3): 1321-1331. doi:
toring and Assessment, 188: 186. DOI: 10. 1007/s10661-016- 10. 5194/tc-9-1321-2015.
5196-4. Wang S N, Li R, Wu T H, et al, 2022. Evaluating the impact of soil
Li X, Jin R, Pan X D, et al, 2012, Changes in the near-surface soil enthalpy upon the thawing process of the active layer in perma‐
freeze-thaw cycle on theTibetan Plateau[J]. International Journal frost regions of the Qinghai-Tibet Plateau using CLM5. 0[J]. Re‐
of Applied Earth Observation and Geoinformation, 17(1): 33- mote Sensing, 15(1): 249. DOI: 10. 3390/rs15010249.

