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DOI	10.1016/j.coldregions.2023.103833
	Effects of soil parameterization on permafrost modeling in the Qinghai-Tibet Plateau: A calibration-constrained analysis
	Zhao, Yanhui; Tang, Qiuhong; Wu, Tonghua; Gao, Liang; Hu, Guojie; Li, Xu; Zheng, Donghai; Wang, Xiaoming
发表日期	2023
ISSN	0165-232X
EISSN	1872-7441
卷号	210
英文摘要	Borehole-measured soil temperatures have been routinely used to calibrate soil parameters in permafrost modeling, although they are sparse in the Qinghai-Tibet Plateau (QTP). A feasible alternative is to calibrate models using land surface temperatures. However, the quantitative impacts of various soil parameterizations on permafrost modeling remain unexplored. To quantify these impacts, two sets of soil parameters (denoted as Psoil and Psurf) were obtained via calibration using borehole temperature measurement and ERA5-Land (the land component of the fifth generation of European Re-Analysis) skin temperature, respectively, and applied to the Geophysical Institute Permafrost Laboratory Version 2 (GIPL 2.0) model. Comparing against the borehole -measured soil temperatures of 4 soil layers, the ERA5-Psurf simulation (with Root Mean Squared Error, i.e., RMSE from 1.4 degrees C to 3.9 degrees C) outperform ERA5-Psoil simulation (RMSE from 1.4 degrees C to 3.9 degrees C) during 2006-2014. The obtained Psoil and Psurf were then utilized as soil parameters in GIPL 2.0 to model permafrost dynamics for a long period from 1983 to 2019, respectively, using ERA5-Land as forcing data. Simulations revealed significant disparities. In comparison to the simulation using Psurf results using Psoil show that the mean annual soil tem-perature at 1 m depth was 2.72 degrees C lower with a 0.01 degrees C/a (50.0%) lower trend; the active layer thickness was 0.81 m (35.7%) less with a 2.16 cm/a (82.1%) lower trend; the duration of the thawing season at 1 m depth was underestimated by about one month, and the zero-curtain period was about 23 days (37.7%) shorter. The change rates of the zero-curtain period, however, were comparable. This study implies that choosing soil parameteri-zations is critical for model evaluation against observations and long-term model prediction.
关键词	Qinghai -Tibet Plateau Permafrost GIPL 2 0 Parameterization
英文关键词	SITU TEMPERATURE-MEASUREMENTS; ACTIVE-LAYER THICKNESS; THERMAL-PROPERTIES; ALPINE ECOSYSTEMS; STATE; HEAT; WATER; AUGMENTATIONS; PREDICTION; DATASET
WOS研究方向	Engineering, Environmental ; Engineering, Civil ; Geosciences, Multidisciplinary
WOS记录号	WOS:000966336000001
来源期刊	COLD REGIONS SCIENCE AND TECHNOLOGY
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/282770
作者单位	Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Chinese Academy of Sciences; University of Macau; University of Macau; Beijing Jiaotong University; Chinese Academy of Sciences; Institute of Tibetan Plateau Research, CAS
推荐引用方式 GB/T 7714	Zhao, Yanhui,Tang, Qiuhong,Wu, Tonghua,et al. Effects of soil parameterization on permafrost modeling in the Qinghai-Tibet Plateau: A calibration-constrained analysis[J]. 中国科学院青藏高原研究所,2023,210.
APA	Zhao, Yanhui.,Tang, Qiuhong.,Wu, Tonghua.,Gao, Liang.,Hu, Guojie.,...&Wang, Xiaoming.(2023).Effects of soil parameterization on permafrost modeling in the Qinghai-Tibet Plateau: A calibration-constrained analysis.COLD REGIONS SCIENCE AND TECHNOLOGY,210.
MLA	Zhao, Yanhui,et al."Effects of soil parameterization on permafrost modeling in the Qinghai-Tibet Plateau: A calibration-constrained analysis".COLD REGIONS SCIENCE AND TECHNOLOGY 210(2023).