An ERA5-based hourly global pressure and temperature (HGPT) model
The Global Navigation Satellite System (GNSS) meteorology contribution to the
comprehension of the Earth's atmosphere's global and regional variations is essential. In …
comprehension of the Earth's atmosphere's global and regional variations is essential. In …
Hourly PWV dataset derived from GNSS observations in China
Q Zhao, P Yang, W Yao, Y Yao - Sensors, 2019 - mdpi.com
The rapid variation of atmospheric water vapor is important for a regional hydrologic cycle
and climate change. However, it is rarely investigated in China, due to the lack of a …
and climate change. However, it is rarely investigated in China, due to the lack of a …
A weighted mean temperature model using principal component analysis for Greenland
The weighted mean temperature (T m) is an important parameter to convert the tropospheric
zenith wet delay (ZWD) extracted from the global navigation satellite system (GNSS) signal …
zenith wet delay (ZWD) extracted from the global navigation satellite system (GNSS) signal …
Assessment of GNSS zenith tropospheric delay responses to atmospheric variables derived from ERA5 data over Nigeria
Tropospheric delay is a major error caused by atmospheric refraction in Global Navigation
Satellite System (GNSS) positioning. The study evaluates the potential of the European …
Satellite System (GNSS) positioning. The study evaluates the potential of the European …
Establishment of atmospheric weighted mean temperature model in the polar regions
S Wang, T Xu, W Nie, J Wang, G Xu - Advances in Space Research, 2020 - Elsevier
Due to the special geographical location and extreme climate environment, the polar
regions (Antarctic and Arctic) have an important impact on global climate change …
regions (Antarctic and Arctic) have an important impact on global climate change …
Research on Modeling Weighted Average Temperature Based on the Machine Learning Algorithms
In response to the nonlinear fitting difficulty of the traditional weighted average temperature
(Tm) modeling, this paper proposed four machine learning (ML)-based Tm models. Based …
(Tm) modeling, this paper proposed four machine learning (ML)-based Tm models. Based …
The New improved ZHD and weighted mean temperature models based on GNSS and radiosonde data using GPT3 and Fourier function
L Li, Y Gao, S Xu, H Lu, Q He, H Yu - Atmosphere, 2022 - mdpi.com
Compared to the zenith hydrostatic delay (ZHD) obtained from the Saastamonien model
based on in-situ measured meteorological (IMM) data and radiosonde-derived weighted …
based on in-situ measured meteorological (IMM) data and radiosonde-derived weighted …
Random Forest-Based Model for Estimating Weighted Mean Temperature in Mainland China
H Li, J Li, L Liu, L Huang, Q Zhao, L Zhou - Atmosphere, 2022 - mdpi.com
The weighted mean temperature (Tm) is a vital parameter for converting zenith wet delay
(ZWD) into precipitation water vapor (PWV) and plays an essential part in the Global …
(ZWD) into precipitation water vapor (PWV) and plays an essential part in the Global …
Initial results of atmospheric weighted mean temperature estimation with Pangu-Weather in real-time GNSS PWV retrieval for China
L Huang, Y Wang, H Bi, G Zhu, L Liu, W Jiang - GPS Solutions, 2025 - Springer
Atmospheric weighted mean temperature (Tm) is pivotal for converting zenith wet delay
(ZWD) derived from global navigation satellite system (GNSS) signal to precipitable water …
(ZWD) derived from global navigation satellite system (GNSS) signal to precipitable water …
Determination of weighted mean temperature (Tm) lapse rate and assessment of its impact on Tm calculation
In Global Navigation Satellite System (GNSS) meteorology, improved understanding of
weighted mean temperature (Tm) variation and estimation is imperative because Tm is …
weighted mean temperature (Tm) variation and estimation is imperative because Tm is …