Improved one/multi-parameter models that consider seasonal and geographic variations for estimating weighted mean temperature in ground-based GPS meteorology
In ground-based GPS meteorology, weighted mean temperature is the key parameter to calculate the conversion factor which will be used to map zenith wet delay to precipitable water vapor. In practical applications, we can hardly obtain the vertical profiles of meteorological parameters over the site, thus cannot use the integration method to calculate weighted mean temperature.
Yao, Y., Zhang, B., Xu, C., Yan, F. Improved one/multi-parameter models that consider seasonal and geographic variations for estimating weighted mean temperature in ground-based GPS meteorology,
Springer Berlin Heidelberg, 2014, с. 273-282.
Yao, Y., Zhang, B., Xu, C., Yan, F. .
Improved one/multi-parameter models that consider seasonal and geographic variations for estimating weighted mean temperature in ground-based GPS meteorology.
: Springer Berlin Heidelberg, 2014, с. 273-282.
Yao, Y., Zhang, B., Xu, C., Yan, F. (2014)
Improved one/multi-parameter models that consider seasonal and geographic variations for estimating weighted mean temperature in ground-based GPS meteorology,
: Springer Berlin Heidelberg, с. 273-282
Yao, Y.,
Zhang, B.,
Xu, C., &
Yan, F.
(2014).
Improved one/multi-parameter models that consider seasonal and geographic variations for estimating weighted mean temperature in ground-based GPS meteorology. Journal of Geodesy. Springer Berlin Heidelberg 88 (3), с. 273-282.
