Precision analysis on the weighted mean temperature of the atmosphere grid data offered by GGOS Atmosphere in Xinjiang

Lilong Liu; Junyu Li; Xiangping Chen; Chenghui Cai

doi:10.1117/12.2207379

9 December 2015 Precision analysis on the weighted mean temperature of the atmosphere grid data offered by GGOS Atmosphere in Xinjiang

Lilong Liu, Junyu Li, Xiangping Chen, Chenghui Cai

Author Affiliations +

Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98083I (2015) https://doi.org/10.1117/12.2207379
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China

Abstract

As the fact that most of the ground-based GPS lacks of the detection of the upper-air meteorological data, thus the application of ground-based GPS sensing of water vapor technology has been limited due to the inaccurately calculated weighted mean temperature. In that case, this paper has studied and analyzed the methods of obtaining weighted mean temperature by deriving the data from GGOS Atmosphere weighted mean temperature grid data in Xinjiang. By using the radiosonde data, this paper has evaluated the accuracy of the weighted mean temperature(GTm) derived from GGOS atmosphere weighted mean temperature grid data and considering the seasonal and geographic factors , we employed a correction model to fit the residuals of GTm. Results show that the GTm derived from mean value interpolation and corrected by correction model meet the requirements of ground-based GPS precision sensing of Water Vapor in Xinjiang ; The inner average precision RMSD is 2.33K , MAE is 1.80 K; The outer average precision RMSD is 2.36K , MAE is 1.85 K.

Citation Download Citation

Lilong Liu, Junyu Li, Xiangping Chen, and Chenghui Cai "Precision analysis on the weighted mean temperature of the atmosphere grid data offered by GGOS Atmosphere in Xinjiang", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98083I (9 December 2015); https://doi.org/10.1117/12.2207379

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