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Weighted Mean Temperature Modelling Using Regional Radiosonde Observations for the Yangtze River Delta Region in China.
- Source :
- Remote Sensing; Apr2022, Vol. 14 Issue 8, pN.PAG-N.PAG, 17p
- Publication Year :
- 2022
-
Abstract
- Precipitable water vapor can be estimated from the Global Navigation Satellite System (GNSS) signal's zenith wet delay (ZWD) by multiplying a conversion factor, which is a function of weighted mean temperature ( T m ) over the GNSS station. Obtaining T<subscript>m</subscript> is an important step in GNSS precipitable water vapor (PWV) conversion. In this study, aiming at the problem that T<subscript>m</subscript> is affected by space and time, observations from seven radiosonde stations in the Yangtze River Delta region of China during 2015−2016 were used to establish both linear and nonlinear multifactor regional T<subscript>m</subscript> model (RTM). Compared with the Bevis model, the results showed that the bias of yearly one-factor RTM, two-factor RTM and three-factor RTM was reduced by 0.55 K, 0.68 K and 0.69 K, respectively. Meanwhile, the RMSE of yearly one-factor, two-factor and three-factor RTM was reduced by 0.56 K, 0.80 K and 0.83 K, respectively. Compared with the yearly three-factor linear RTM, the mean bias and RMSE of the linear seasonal three-factor RTMs decreased by 0.06 K and 0.10 K, respectively. The precision of nonlinear seasonal three-factor RTMs is comparable to linear seasonal three-factor RTMs, but the expressions of the linear RTMs are easier to use. Therefore, linear seasonal three-factor RTMs are more suitable for calculating T<subscript>m</subscript> and are recommended to use for PWV conversion in the Yangtze River Delta region. [ABSTRACT FROM AUTHOR]
- Subjects :
- PRECIPITABLE water
GLOBAL Positioning System
RADIOSONDES
TEMPERATURE
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 14
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 156597071
- Full Text :
- https://doi.org/10.3390/rs14081909