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Minghui Tao

Researcher at China University of Geosciences (Wuhan)

Publications -  59
Citations -  1687

Minghui Tao is an academic researcher from China University of Geosciences (Wuhan). The author has contributed to research in topics: Aerosol & Environmental science. The author has an hindex of 18, co-authored 48 publications receiving 1282 citations. Previous affiliations of Minghui Tao include Chinese Academy of Sciences.

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Satellite observation of regional haze pollution over the North China Plain

TL;DR: In this article, a large-scale, long-term study was conducted using A-Train satellite observations, ground measurements, and meteorological data to obtain general insights into regional pollution, and the combined observations revealed highly inhomogeneous haze clouds, in terms of both vertical and horizontal distribution.
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Formation process of the widespread extreme haze pollution over northern China in January 2013: Implications for regional air quality and climate

TL;DR: In this article, the authors present a regional insight into characteristics and formation process of the widespread extreme haze pollution in northern China during January of 2013 using integrated satellite observations and ground measurements.
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Modeling the feedback between aerosol and meteorological variables in the atmospheric boundary layer during a severe fog–haze event over the North China Plain

TL;DR: In this paper, a coupled meteorology and aerosol/chemistry model (WRF-Chem) was used to analyze the feedback between aerosol and meteorological variables in the atmospheric boundary layer over the North China Plain (NCP).

Modeling the feedback between aerosol and meteorological variables in the atmospheric boundary layer during a severe fog-haze event over the North China Plain

TL;DR: In this paper, a coupled meteorology and aerosol/chemistry model (WRF-Chem) was used to analyze the feedback between aerosol and meteorological variables in the atmospheric boundary layer over the North China Plain (NCP).
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Comparison and evaluation of the MODIS Collection 6 aerosol data in China

TL;DR: In this paper, the authors compared Deep Blue (DB) and Dark Target (DT) retrievals over China and evaluated their performance with ground observations, finding that DT tended to overestimate the aerosol loading by underestimation of the surface contribution and single scattering albedo of aerosols.