Seasonal Multifactor Modelling of Weighted-Mean Temperature for Ground-Based GNSS Meteorology in Hunan, China
Joint Authors
Li, Li
Wu, Suqin
Wang, Xiaoming
Tian, Ying
He, Changyong
Zhang, Kefei
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-02
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In this study, radiosonde observations during the period of 2012-2013 from three stations in the Hunan region, China, were used to establish regional Tm models (RTMs) that are a fitting function of multiple meteorological factors (Ts, Es, and Ps).
One-factor, two-factor, and three-factor RTMs were assessed by comparing their Tm against the radiosonde-derived Tm (as the truth) during the period of 2013-2014.
Statistical results showed that the bias and RMS of the one-factor RTM, in comparison to the BTM result, were reduced by 88% and 28%, respectively.
The two-factor and three-factor RTMs showed similar accuracy and both outperformed the one-factor RTM, with an improvement of 7% in RMS.
The bias and RMS of all the four seasonal two-factor RTMs were smaller than the yearly two-factor RTM, with the improvements of 3%, 10%, 2%, and 3% in RMS.
The improvement of the conversion factors in mean bias and RMS resulting from the seasonal two-factor RTM is 92% and 31%.
The bias and RMS of the PWV resulting from the seasonal two-factor RTM are improved by 37% and 12%, respectively.
Therefore, the seasonal two-factor RTMs are recommended for the research and applications of GNSS meteorology in the Hunan region, China.
American Psychological Association (APA)
Li, Li& Wu, Suqin& Wang, Xiaoming& Tian, Ying& He, Changyong& Zhang, Kefei. 2017. Seasonal Multifactor Modelling of Weighted-Mean Temperature for Ground-Based GNSS Meteorology in Hunan, China. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1122632
Modern Language Association (MLA)
Li, Li…[et al.]. Seasonal Multifactor Modelling of Weighted-Mean Temperature for Ground-Based GNSS Meteorology in Hunan, China. Advances in Meteorology No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1122632
American Medical Association (AMA)
Li, Li& Wu, Suqin& Wang, Xiaoming& Tian, Ying& He, Changyong& Zhang, Kefei. Seasonal Multifactor Modelling of Weighted-Mean Temperature for Ground-Based GNSS Meteorology in Hunan, China. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1122632
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122632