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Proceedings Paper

Analysis of applicability to build K-value model in southwest China
Author(s): Lilong Liu; Pituan Wu; Jun Chen; Junyu Li; Haiyang Feng; Feida Li
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Paper Abstract

Using the eleven Radiosonde Stations’ data in southwestern of China from 2010 to 2013 to calculate the conversion coefficient K which is a reference value of Precipitable Water Vapor (PWV). Then build the EMARDSON model and the EMARDSON K model which introduced with elevation parameter and altitude. And to analysis the accuracy of the two models in the southwest China by radiosonde data in 2014. The results show: 1) The K value calculated by EMARDSON model has good adaptability in southwest region. 2) The method of spatial interpolation prediction by choosing 7 Radiosonde Stations’ K value uniformity is more adaptable than using 11 Radiosonde Stations’ K value to build basic model in the case of predicting 11 Radiosonde Stations’ K value, and it has a certain accuracy when predicting by using spatial interpolation in some areas where lacking data. 3) The accuracy by using the A-EMARDSON model to predict K value was improved obviously. at the same time, when predicting K value by the method of spatial interpolation, both the precision of inner and the precision of outer are better than EMARDSON model. So it can be concluded that the altitude factor is an important factor to influence the K value prediction.

Paper Details

Date Published: 9 December 2015
PDF: 7 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98082Y (9 December 2015); doi: 10.1117/12.2207904
Show Author Affiliations
Lilong Liu, Guilin Univ. of Technology (China)
Pituan Wu, Guilin Univ. of Technology (China)
Jun Chen, Guilin Univ. of Technology (China)
Junyu Li, Guilin Univ. of Technology (China)
Haiyang Feng, Guilin Univ. of Technology (China)
Feida Li, Guilin Univ. of Technology (China)

Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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