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Dive into the research topics where Yibin Yao is active.

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Featured researches published by Yibin Yao.


Journal of Geodesy | 2013

Global empirical model for mapping zenith wet delays onto precipitable water

Yibin Yao; Bao Zhang; Shun Qiang Yue; Chao Qian Xu; Wen Fei Peng

We can map zenith wet delays onto precipitable water with a conversion factor, but in order to calculate the exact conversion factor, we must precisely calculate its key variable


Scientific Reports | 2015

ITG: A New Global GNSS Tropospheric Correction Model

Yibin Yao; Chaoqian Xu; Junbo Shi; Na Cao; Bao Zhang; Junjian Yang


IEEE Transactions on Geoscience and Remote Sensing | 2014

An Improved Iterative Algorithm for 3-D Ionospheric Tomography Reconstruction

Yibin Yao; Jun Tang; Peng Chen; Shun Zhang; Jiajun Chen

T_\mathrm{m}


Journal of Geodesy | 2015

On partial errors-in-variables models with inequality constraints of parameters and variables

Wenxian Zeng; Jingnan Liu; Yibin Yao


IEEE Transactions on Geoscience and Remote Sensing | 2015

A New Ionosphere Tomography Algorithm With Two-Grid Virtual Observations Constraints and Three-Dimensional Velocity Profile

Yibin Yao; Jian Kong; Jun Tang

. Yao et al. (J Geod 86:1125–1135, 2012. doi:10.1007/s00190-012-0568-1) established the first generation of global


Journal of Navigation | 2014

A New Method to Accelerate PPP Convergence Time by using a Global Zenith Troposphere Delay Estimate Model

Yibin Yao; Chen Yu; Yufeng Hu


Meteorology and Atmospheric Physics | 2017

A novel, optimized approach of voxel division for water vapor tomography

Yibin Yao; Qingzhi Zhao

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Studia Geophysica Et Geodaetica | 2017

Bayesian inference for the Errors-In-Variables model

Xing Fang; Bofeng Li; Hamza Alkhatib; Wenxian Zeng; Yibin Yao


Journal of Geophysical Research | 2016

Analysis of the global ionospheric disturbances of the March 2015 great storm

Yibin Yao; Lei Liu; Jian Kong; Changzhi Zhai

model (GTm-I) with ground-based radiosonde data, but due to the lack of radiosonde data at sea, the model appears to be abnormal in some areas. Given that sea surface temperature varies less than that on land, and the GPT model and the Bevis


Studia Geophysica Et Geodaetica | 2015

On total least squares for quadratic form estimation

Xing Fang; Jin Wang; Bofeng Li; Wenxian Zeng; Yibin Yao

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Qingzhi Zhao

Xi'an University of Science and Technology

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Wanqiang Yao

Xi'an University of Science and Technology

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Peng Chen

Xi'an University of Science and Technology

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