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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1,2, 刘桂民1, 李新星1, 纪庚好1, 李莉莎1, 毛楠1, 徐海燕1, 吴晓东2
1.兰州交通大学环境与市政工程学院, 兰州 730070;2.中国科学院西北生态环境资源研究院冰冻圈国家重点实验室青藏高原冰冻圈观测研究站, 兰州 730000
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。研究使用3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3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 3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3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。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:10.13758/j.cnki.tr.2021.02.029
分类号:TV11
基金项目:国家自然科学基金项目(41661013,41871060,41861011)资助。
Applicability Assessment of Multi-sensor CCI Soil Moisture Products in Different Areas of Qinghai-Tibetan Plateau
WU Xiaoli1,2, LIU Guimin1, LI Xinxing1, JI Genghao1, LI Lisha1, MAO Nan1, XU Haiyan1, WU Xiaodong2
1.School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;2.Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of the Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Abstract:
Soil moisture in 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 could capture temporal and spatial distribution of soil moisture content in the growing season on the QTP. The correlation coefficient between active-passive combined product and in situ measured values was the highest among the three networks. In the semi-arid areas dominated by alpine meadows, the CCI active-passive combined product showed a correlation coefficient above 0.8 and RMSE below 0.06, but the CCI combined product underestimated soil moisture in the area with dense vegetation (Maqu) and overestimated it in the barren ground (Shiquanhe). From the spatial distribution, the active product overestimated soil moisture, and the passive product showed great fluctuation in soil moisture, with the maximum value of 0.98 m3/m3. The active-passive combined product (0-0.65 m3/m3) was similar to the actual spatial distribution of soil moisture. The results provide a reference for the application of CCI products in retrieving soil moisture content in the QTP.
Key words:  Qinghai-Tibetan Plateau  Soil moisture  CCI products  Multi-sensor  Applicability

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