| 青藏高原土壤冻融过程关键参量时空分布特征分析 |
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| 引用本文： | 刘闻慧,文军,陈金雷,王作亮,陆宣承,武月月,蒋雨芹.青藏高原土壤冻融过程关键参量时空分布特征分析[J].高原气象,2022,41(1):11-23. |
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| 作者姓名： | 刘闻慧 文军 陈金雷 王作亮 陆宣承 武月月 蒋雨芹 |
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| 作者单位： | 成都信息工程大学大气科学学院/高原大气与环境四川省重点实验室,四川成都 610225,中国科学院西北生态环境资源研究院/冰冻圈科学国家重点实验室,甘肃兰州 730000,中国科学院西北生态环境资源研究院/中国科学院寒旱区陆面过程与气候变化重点实验室,甘肃兰州 730000 |
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| 基金项目： | 国家自然科学基金项目（41971308）； |
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| 摘 要： | 土壤冻融过程是青藏高原陆面过程中最突出的特征之一,量化表征土壤冻融过程的关键参量变化特征对认识青藏高原气候变化、生态和水文过程有重要的科学意义.本文利用青藏高原地区ECMWF/ERA5(European Centre for Medium-Range Weather Forecasts/ERA5)的浅层土壤温度、体积含...
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| 关 键 词： | 青藏高原 土壤冻融 陆面过程 时空分布 气候变化 |
Characteristic Analysis of the Spatio-temporal Distribution of Key Variables during the Soil Freeze-thaw Process over the Qinghai-Xizang Plateau |
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| LIU Wenhui,WEN Jun,CHEN Jinlei,WANG Zuoliang,LU Xuancheng,WU Yueyue,JIANG Yuqin.Characteristic Analysis of the Spatio-temporal Distribution of Key Variables during the Soil Freeze-thaw Process over the Qinghai-Xizang Plateau[J].Plateau Meteorology,2022,41(1):11-23. |
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| Authors: | LIU Wenhui WEN Jun CHEN Jinlei WANG Zuoliang LU Xuancheng WU Yueyue JIANG Yuqin |
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| Institution: | (College of Atmospheric Sciences,Chengdu University of Information Technology/Sichuan Key Laboratory of Plateau Atmosphere and Environment,Chengdu 610225,Sichuan,China;State Key Laboratory of Cryosphere Sciences,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,Gansu,China;Northwest Institute of Ecological Environment and Resources,Chinese Academy of Sciences/Key Laboratory of Land Surface Process and Climate Change in the Cold and Arid Region of the Chinese Academy of Sciences,Lanzhou 730000,Gansu,China) |
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| Abstract: | The freeze-thaw process is one of the most prominent features of the land surface process on the Qinghai-Xizang Plateau,and quantifying the variation of the key variables that denote the soil freeze-thaw process has scientific significance for understanding the climate change,hydrological processes and ecosystems of the Qinghai-Tibetan Plateau.By using the ECMWF/ERA5(European Centre for Medium-Range Weather Forecasts/ERA5)reanalyzed soil temperature,volumetric soil water and air temperature data,the temporal and spatial trends of the start date of soil freezing,the start date of soil thawing and the duration of the soil freezing and their relationships with the air temperature and altitude were investigated by using linear regression,Mann-Kendall test,moving t test and correlation analysis.These results demonstrated that the spatial distribution of soil freezethaw process in the Qinghai-Xizang Plateau is characterized by a trend of delaying freeze,advancing thaw and shortening freeze from the northwest to the southeast.The soil freeze-thaw process varied significantly on the Qinghai-Xizang Plateau from 1979 to 2018.The start date of soil freezing was delayed by 14.0 days with a rate of 0.17 d·a-1,and the start date of soil thawing was advanced by 11.0 days with a rate of 0.07 d·a-1,and the duration of the soil freeze was shortened by 25.0 days with a rate of 0.23 d·a-1 over the past 40 years.The overall trend of soil freeze-thaw process is the same in the Qinghai-Xizang Plateau,while the local rate is different.Throughout the period of study,the duration of the soil freeze in the southern and the northern Changtang Plateau is shortened by 47.2 days and 32.9 days.The first date of the soil freeze,the first date of the soil thaw and the duration of the soil freeze are significantly correlated with temperature and altitude.If the air temperature rises by 1.0℃,the first date of the soil freeze will be delayed by 5.2 days,and the first date of the soil thaw will be advanced by 4.5 days,so that the duration of the soil freeze will be shortened by 9.8 days.In the high cold Tibetan climatological zone,the first date of the soil freeze will be advanced by 9.1 days,and the first date of the soil thaw will be delayed by 4.9 days,while the duration of the soil freeze will be increased by 13.9 days as the altitude increases by 1000.0 m. |
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| Keywords: | The Qinghai-Xizang Plateau soil freeze-thaw process land surface process spatio-temporal distribution climate change |
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