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CCI多传感器组合土壤水分产品在青藏高原不同地区的适用性
吴小丽,刘桂民,李新星,纪庚好,李莉莎,毛楠,徐海燕,吴晓东
1.兰州交通大学环境与市政工程学院;2.中国科学院西北生态环境资源研究院
摘要:
青藏高原的土壤水分通过对水循环和对生态系统的作用,对区域乃至全球气候的变化起有着重要的影响。由于该地区缺失长期和大规模土壤水分的现场观测,遥感产品成为地球系统模型的有用数据集。其中,欧洲航天局(European Space Agency, ESA)发布的气候变化倡议(Climate Change Initiative, CCI)土壤水分产品已在全球范围内广泛应用。在此我们使用了三个网络的原位测量土壤水分数据评估CCI(主动、被动、主被动组合)产品在青藏高原地区的适用性,这三个网络分别代表青藏高原的半湿润(玛曲),半干旱(那曲)和干旱(狮泉河)气候条件。结果表明,CCI 三种产品都能捕捉到青藏高原生长季土壤水分时间变化规律和东南高西北低的空间分布特征。其中主被动组合产品在三个网络的相关性都是最高的。在以高寒草甸为主的半干旱地区,CCI主被动组合产品反演土壤水分具有较高的精度,与实测数据相关系数高达 0.870,均方根误差小于 0.06,但在高密度植被区有所低估,裸露地表有所高估。从空间分布来看,主动产品过高估计了青藏高原土壤水分,被动产品显示土壤水分空间分布变化范围过大,最大值达 0.98 m3/m3,主被动组合产品在空间上(0-0.65 m3/m3)最接近青藏高原土壤水分实际分布情况。本研究结果可以为CCI产品在青藏高原的应用与研究提供参考。
关键词:  青藏高原  土壤水分  CCI产品  多传感器组合  适用性
DOI:
分类号:TV11
基金项目:国家自然科学“短期增温对祁连山北部多年冻土生态系统二氧化碳交换及土壤微生物的影响”(41661013);“青藏高原多年冻土区沼泽草甸和草甸CH4和N2O的释放及机制”(41871060);“祁连山多年冻土区优势植物生理生化指标对短期增温的响应”(41861011)
Applicability assessment of multi-sensor CCI soil moisture products in different areas over the Qinghai-Tibetan Plateau
WU Xiaoli1,2,3,2, LIU Guimin1, LI Xinxing1, JI Genghao1, LI Lisha1, MAO Nan1, XU Haiyan1, WU Xiaodong3
1.School of Environmental and Municipal Engineering,Lanzhou Jiaotong University;2.China;3.Cryosphere Research Station on the Qinghai-Tibet Plateau,State Key Laboratory of Cryospheric Science,Northwest Institute of the Eco-Environmentand Resources,Chinese Academy of Sciences
Abstract:
Soil moisture on the Qinghai-Tibetan Plateau (QTP) plays an important role in regional and global climate change via its impacts on water cycle and ecosystems. Due to the lack of long-term and large-scale field observations of soil moisture in this area, remote sensing products potentially provide useful data sets for the Earth system models. Among them, the Climate Change Initiative (CCI) soil moisture products issued by the European Space Agency (ESA) have been widely used. Here we used in-situ soil moisture data from three networks to evaluate the applicability of CCI products (active, passive, active-passive combined) on the QTP. The three networks represent semi-humid (Maqu), semi-arid (Naqu), and arid (Shiquanhe) climate conditions. The results showed that all the three CCI products can capture temporal and spatial distribution of soil moisture content in the growing season on the QTP. The correlation coefficient between active-passive combinated product and in situ measured values is highest among the three networks. In the semi-arid areas, which are dominated by alpine meadows, the CCI active-passive combined product showed a correlation coefficient above 0.8 and RMSE below 0.06. The CCI combined product underestimated in the area with dense vegetation (Maqu) and overestimated in the barren ground (Shiquanhe). From the spatial distribution, the active product overestimates the soil moisture on the QTP, and the passive product shows that there are great fluctuations in soil moisture, with the maximum value of 0.98 m3/m3.The active-passive combined product (0-0.65 m3/m3) is similar to the actual spatial distribution of soil moisture on the QTP. The results provide a reference for the application of CCI products in retrieving soil moisture content on the QTP.
Key words:  Qinghai-Tibetan Plateau  soil moisture  CCI products  multi-sensor combination  applicability

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