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Guijun Li, Yongsheng Wang, Jie Luo and Yulong Li
Currently, the construction of smart cities (SCs) has been booming all over the world and it also acts as a useful tool for the Chinese government to promote the sustainable development of cities. Identifying the aspects of SCs and systematically evaluat...
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Ru Wang, Qingyu Zheng, Wei Li, Guijun Han, Xuan Wang and Song Hu
The uncertainty in the initial condition seriously affects the forecasting skill of numerical models. Targeted observations play an important role in reducing uncertainty in numerical prediction. The conditional nonlinear optimal perturbation (CNOP) meth...
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Song Hu, Qi Shao, Wei Li, Guijun Han, Qingyu Zheng, Ru Wang and Hanyu Liu
Data-driven predictions of marine environmental variables are typically focused on single variables. However, in real marine environments, there are correlations among different oceanic variables. Additionally, sea?air interactions play a significant rol...
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Kangzhuang Liang, Wei Li, Guijun Han, Yantian Gong and Siyuan Liu
The joint state and parameter estimation problem is an important issue in data assimilation. An adjoint free data assimilation method, namely analytical four-dimensional ensemble variational (A-4DEnVar) data assimilation method, was developed to provide ...
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Ruopin Qu, Yongchang Wu, Jing Chen, Glyn D. Jones, Wenjing Li, Shan Jin, Qian Chang, Yiying Cao, Guijun Yang, Zhenhong Li and Lynn J. Frewer
The impact of agricultural cooperatives on apple farmers? technical efficiency (TE) in China was examined. The cooperatives were divided into two groups: a collective marketing group for farmers and an equivalent non-marketing group that did not provide ...
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Yuan Chang, Guijun Li, Yuan Yao, Lixiao Zhang and Chang Yu
Water, energy, and food are lifelines for modern societies. The continuously rising world population, growing desires for higher living standards, and inextricable links among the three sectors make the water-energy-food (WEF) nexus a vibrant research pu...
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Siyuan Liu, Qi Shao, Wei Li, Guijun Han, Kangzhuang Liang, Yantian Gong, Ru Wang, Hanyu Liu and Song Hu
Conditional nonlinear optimal perturbation (CNOP) represents the initial perturbation that satisfies a certain physical constraint condition, and leads to a maximum prediction error at the moment of prediction. The CNOP method is a useful tool in studyin...
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