Xiaochen Fei
Research Subjects
Research Interests
Xiaochen Fei has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Bingui Wu
Tianjin Key Laboratory for Oceanic Meteorology, Tianjin Institute of Meteorological Science, Tianjin Meteorological Bureau, Tianjin, China
1 shared publication - Qiang Long
Caofeidian Meteorology Bureau, Tangshan 063200, China
1 shared publication - Shuang Liu
Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Shijiazhuang 063200, China
1 shared publication - Tingting Ju
Tianjin Key Laboratory of Oceanic Meteorology, Tianjin Institute of Meteorological Sciences, Tianjin 300074, China
1 shared publication - Xinyue Mi
Caofeidian Meteorology Bureau, Tangshan 063200, China
1 shared publication
Latest Publications
- Open Access
- 11 December 2021
- Published by MDPI AG in Atmosphere
- Vol. 12 (12) , 1666
Review on Parameterization Schemes of Visibility in Fog and Brief Discussion of Applications Performance
Low visibility, associated with fog, severely affects land, marine, and air transportation. Visibility is an important indicator to identify different intensities of fog; therefore, improving the ability to forecast visibility in fog is an urgent need for social and economic development. Establishing a proper visibility parameterization scheme is crucial to improving the accuracy of fog forecast operation. Considering various visibility impact factors, including RH, Nd, D, LWC, the parameterization formula of visibility in fog, as well as their performance in meteorology operation, are reviewed. Moreover, the estimated ability of the visibility parameterization formulas combined with the numerical model is briefly described, and their advantages and shortcomings are pointed out.
- 11 December 2021
- Published by MDPI AG in Atmosphere
- Vol. 12 (12) , 1666
Open AccessReview on Parameterization Schemes of Visibility in Fog and Brief Discussion of Applications Performance
Low visibility, associated with fog, severely affects land, marine, and air transportation. Visibility is an important indicator to identify different intensities of fog; therefore, improving the ability to forecast visibility in fog is an urgent need for social and economic development. Establishing a proper visibility parameterization scheme is crucial to improving the accuracy of fog forecast operation. Considering various visibility impact factors, including RH, Nd, D, LWC, the parameterization formula of visibility in fog, as well as their performance in meteorology operation, are reviewed. Moreover, the estimated ability of the visibility parameterization formulas combined with the numerical model is briefly described, and their advantages and shortcomings are pointed out.