Seasonal Multifactor Modelling of Weighted-Mean Temperature for Ground-Based GNSS Meteorology in Hunan, China
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 a...
Main Authors: | Li Li, Suqin Wu, Xiaoming Wang, Ying Tian, Changyong He, Kefei Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2017-01-01
|
Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2017/3782687 |
Similar Items
-
Modelling of weighted-mean temperature using regional radiosonde observations in Hunan China
by: Li Li, et al.
Published: (2018-01-01) -
GNSS meteorology in Egypt: Modeling weighted mean temperature from radiosonde data
by: Nesreen M. Elhaty, et al.
Published: (2019-06-01) -
Mean atmospheric temperature model estimation for GNSS meteorology using AIRS and AMSU data
by: Rata Suwantong, et al.
Published: (2017-03-01) -
The use of products from ground-based GNSS observations in meteorological nowcasting
by: E. Terradellas, et al.
Published: (2010-07-01) -
Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe
by: G. Guerova, et al.
Published: (2016-11-01)