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Effects of soil parameterization on permafrost modeling in the Qinghai-Tibet Plateau: A calibration-constrained analysis

文献类型：期刊论文

作者Zhao, Yanhui2; Tang, Qiuhong2; Wu, Tonghua2,7; Gao, Liang3,4; Hu, Guojie2,7; Li, Xu5; Zheng, Donghai1; Wang, Xiaoming7
刊名COLD REGIONS SCIENCE AND TECHNOLOGY
出版日期2023-06-01
卷号210页码:103833
ISSN号0165-232X
关键词Qinghai -Tibet Plateau Permafrost GIPL 2 0 Parameterization
DOI10.1016/j.coldregions.2023.103833
文献子类Article
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.
WOS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 ; Geology
出版者ELSEVIER
WOS记录号WOS:000966336000001
源URL[http://ir.igsnrr.ac.cn/handle/311030/190464]  
专题陆地水循环及地表过程院重点实验室_外文论文
作者单位1.Beijing Jiaotong Univ, Sch Civil Engn, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
3.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou, Peoples R China
4.Univ Macau, State Key Lab Internet Things Smart City, Macau, Peoples R China
5.Univ Macau, Dept Civil & Environm Engn, Macau, Peoples R China
6.Inst Tibetan Plateau Res, Chinese Acad Sci, Natl Tibetan Plateau Data Ctr, State Key Lab Tibetan Plateau Earth Syst Environm, Beijing, Peoples R China
7.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
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]. COLD REGIONS SCIENCE AND TECHNOLOGY,2023,210:103833.
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,210,103833.
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):103833.

入库方式： OAI收割

来源：地理科学与资源研究所

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