Drought has been analyzed by various indices based on rainfall, temperature, evapotranspiration or soil moisture data. Remoste-sensing based data has spatial continuity with certain resolution and is useful for drought monitor. The purpose of this study was to investigate quality used of grid relative soil moisture, the spatial and temporal variation of soi moisture, and soil moisture drought based on relative soil moisture over China during 2008-2016. The results show that the relative soil moisture data set can reflect the spatial characteristics of the development of drought in China during 2008-2016. From the spatial distribution analysis, the northwest to northeast, south part of China, and other major arid areas, the performance is particularly evident. The results show that the use of CLDAS V1.0 real-time products, access to time and space continuous soil relative humidity products, can achieve the drought in China real-time
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机译:Intra- and Inter-annual Variation of Soil Microbial and Enzymatic Response to Water and Nitrogen Addition in a Chinese Semi-arid SteppeAU Sun, Liangjie Dong, Yunshe Qi, Yuchun (qiyc@igsnrr.ac.cn) He, Yating Peng, Qin Liu, Xinchao Jia, Junqiang Guo, Shufang Cao, Congcong
机译:Vital Signs Analysis for Fen Miao, Ye Li, and Lu Shi F.Miao;;Y.Li(El) Key Laboratory for Health Informatics of the Chinese Academy of Sciences(HICAS), Shenzhen Institutes of Advanced Technology, Shenzhen, 518055, ChinaMye.li@siat.ac.cn L.Shi Shanghai Jiao Tong University, Shanghai, China