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Analysis of the Weighted Mean Temperature of China Based on Sounding and ECMWF Reanalysis Data |
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| Authors: | Xiaoying Wang Lianchun Song Yunchang Cao |
| Institution: | 1. Institute of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing, 210044, China 2. National Climate Center, China Meteorological Administration, Beijing, 100081, China 3. Meteorological Observation Center, China Meteorological Administration, Beijing, 100081, China |
| Abstract: | Weighted mean temperature (T m) is one of the most important conversion parameters for calculating precipitable water vapor by the signal path wet delay in ground-based GPS meteorology. This paper first discusses the T m regression models for Hong Kong (HK) and the associated error statistics relative to the true values of T m from the numerical method. The results show that there is little difference in precision between annual and seasonal T m regression models for HK. The Bevis T m-T s (surface temperature) regression model is more suitable for northeastern China and the Qinghai-Tibetan Plateau than the local models. For areas lack of historical sounding data, the Kriging interpolation method and the ECMWF reanalysis product ERA-interim were employed to set up local T m-T s models. The results indicate that the T m derived by the ERA-interim data coincides well with that by the sounding data, and the Kriging interpolation method can successfully obtain the coefficients of local T m-T s models, suggesting that these two approaches may serve as effective ways in the acquisition and localization of T m. |
| Keywords: | weighted mean temperature ERA-interim surface temperature ground-based GPS soundingdata |
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