水科学进展2017，Vol.28Issue(4)：479-487,9.DOI:10.14042/j.cnki.32.1309.2017.04.001
基于多源卫星观测的中国土壤湿度时空特征分析
Analysis of spatiotemporal characteristics of surface soil moistureacross China based on multi-satellite observations
摘要
Abstract
As a key state variable, soil moisture influences hydrological, meteorological and ecological processes.The objective of this study is to study the spatiotemporal characteristics of surface soil moisture across China using multi-satellite observations and uncover the driving forces of these characteristics.We applied an ensemble average approach to derive daily surface soil moisture with a spatial resolution of 25 km across China from 2015 to 2016 from five satellites, including SMAP, SMOS, AMSR2, FY3B, and FY3C.Uncertainty in these satellite products and their differences were further quantified by intercomparison.The spatial distribution of surface soil moisture and its connection with the spatial distribution of hydroclimatic zones were also analyzed.The correlations of soil moisture with precipitation and actual evapotranspiration were studied, too.The results show that spatial distribution of soil moisture across China corresponds well with the distribution of hydroclimatic zones: soil moisture generally increases from the northwest of China to the southeast and northeast of China.Clear seasonality appears in most areas of China with higher values in summer and lower values in winter.However, the amplitude and shape of seasonality differ in different parts of China.Temporal variabilities of soil moisture in over 60% of China are strongly controlled by the synchronous and antecedent precipitations.In over 87.5% of China, soil moisture and actual evapotranspiration show significant positive correlations and mutual dependence.关键词
土壤湿度/卫星遥感/时空特征/微波遥感/多源卫星数据Key words
soil moisture/satellite remote sensing/spatiotemporal characteristics/microwave remote sensing/multi-source satellite data分类
天文与地球科学引用本文复制引用
刘荣华,张珂,晁丽君,王青青,洪阳,涂勇,曲伟..基于多源卫星观测的中国土壤湿度时空特征分析[J].水科学进展,2017,28(4):479-487,9.基金项目
全国山洪灾害防治项目(126301001000150068) （126301001000150068）
国家重点研发计划资助项目(2016YFC0402701)The study is financially supported by the National Key R&D Program of China (No.2016YFC0402701). （2016YFC0402701）
