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Comprehensive Analysis and Validation of the Atmospheric Weighted Mean Temperature Models in China.

Authors :
Ma, Yongjie
Zhao, Qingzhi
Wu, Kan
Yao, Wanqiang
Liu, Yang
Li, Zufeng
Shi, Yun
Source :
Remote Sensing; Jul2022, Vol. 14 Issue 14, pN.PAG-N.PAG, 16p
Publication Year :
2022

Abstract

Atmospheric weighted mean temperature (T<subscript>m</subscript>) is a key parameter used by the Global Navigation Satellite System (GNSS) for calculating precipitable water vapor (PWV). Some empirical T<subscript>m</subscript> models using meteorological or non-meteorological parameters have been proposed to calculate PWV, but their accuracy and reliability cannot be guaranteed in some regions. To validate and determine the optimal T<subscript>m</subscript> model for PWV retrieval in China, this paper analyzes and evaluates some typical T<subscript>m</subscript> models, namely, the Linear, Global Pressure and Temperature 3 (GPT3), the T<subscript>m</subscript> model for China (CT<subscript>m</subscript>), the Global Weighted Mean Temperature-H (GT<subscript>m</subscript>-H) and the Global Tropospheric (GTrop) models. The T<subscript>m</subscript> values of these models are first obtained at corresponding radiosonde (RS) stations in China over the period of 2011 to 2020. The corresponding T<subscript>m</subscript> values of 87 RS stations in China are also calculated using the layered meteorological data and regarded as the reference. Comparison results show that the accuracy of these five T<subscript>m</subscript> models in China has an obvious geographical distribution and decreases along with increasing altitude and latitude, respectively. The average root mean square (RMS) and Bias for the Linear, GPT3, CT<subscript>m</subscript>, GT<subscript>m</subscript>-H and GTrop models are 4.2/3.7/3.4/3.6/3.3 K and 0.7/−1.0/0.7/−0.1/0.3 K, respectively. Among these models, Linear and GPT3 models have lower accuracy in high-altitude regions, whereas CT<subscript>m</subscript>, GT<subscript>m</subscript>-H and GTrop models show better accuracy and stability throughout the whole China. These models generally have higher accuracy in regions with low latitude and lower accuracy in regions with middle and high latitudes. In addition, Linear and GPT3 models have poor accuracy in general, whereas GT<subscript>m</subscript>-H and CT<subscript>m</subscript> models are obviously less accurate and stable than GTrop model in regions with high latitude. These models show different accuracies across the four geographical regions of China, with GTrop model demonstrating the relatively better accuracy and stability. Therefore, the GTrop model is recommended to obtain T<subscript>m</subscript> for calculating PWV in China. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20724292
Volume :
14
Issue :
14
Database :
Complementary Index
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
158297716
Full Text :
https://doi.org/10.3390/rs14143435