STUDY ON PRECIPITABLE WATER VAPOR WITHOUT METEOROLOGICAL DATA
Yu Shengjie 1, 2) ; and Liu Lintao 1)
1)Institute of Geodesy and Geophysics, CAS, Wuhan 4300772)Graduate School of the Chinese Academy of Sciences, Beijing 100049
Abstract The pressure and temperature parameters are the prerequisite for the precise precipitable water vapor monitoring based on the ground GPS. When lacking in the above meteorological data, the precipitable water vapor is firstly derived on the basis of the extrapolated pressure and temperature, and its precision is also analyzed. At the same time, the linear relationship from fitting between the precipitable water vapor and zenith total delay is used to get the precipitable water vapor. The conclusion shows that, the precision of the precipitable water vapor from fitting is higher thanks to the avoidance of the apriori error. So, once the empirical relationship is determined, we can monitor the precipitable water vapor using GPS in high precison.
Key words ：
groundbased GPS meteorology
zenith total delay
precipitable water vapor
fitting
meteorological data
Received: 01 January 1900
Corresponding Authors:
Yu Shengjie
Cite this article:
Yu Shengjie,and Liu Lintao . STUDY ON PRECIPITABLE WATER VAPOR WITHOUT METEOROLOGICAL DATA[J]. , 2008, 28(5): 34-38.
Yu Shengjie,and Liu Lintao . STUDY ON PRECIPITABLE WATER VAPOR WITHOUT METEOROLOGICAL DATA[J]. jgg, 2008, 28(5): 34-38.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2008/V28/I5/34
[1]
GUAN Zhongpei,GAO Ying,LI Li,ZHOU Jialing,LIU Yu,HOU Xiaoling,ZHANG Wenwen. Parameter Fusion from GPT2w Model and GNSS to Obtain Precipitable Water Vapor
[2]
FAN Di,LI Li,LIU Yan,WEI Ye,WEI Yun,ZHOU Jialing,LIU Yu. Research on Direct Conversion Model of GNSS Precipitable
[3]
ZHAO Qingzhi,LIU Yang,YAO Wanqiang. Establishment of Short-Term Rainfall Forecast Model by Least Square Support Vector Machine
[4]
HOU Xiaoling，ZHANG Wenwen，LI Li，ZHOU Jialing，LIU Yu，GAO Ying，GUAN Zhongpei. Model Refinement of GNSS Atmospheric Water VaporConversion Coefficient in Yangtze River Delta
[5]
.
[6]
.
[7]
.
[8]
TAN Jiangtao,WANG Zhangpeng,ZHONG Bo,DING Jian. Application of Self-Adaptive Parameter Selection for Multiquadric Function in GPS Elevation Fitting
[9]
Lü Yongqing, XIANG Ya, ZHOU Yunyao, QI Junwei, WU Huan, PENG Jing. Study on Method of Eliminating Seismometer Step Calibration Signal
[10]
CHEN Pengyu. Improvement of GM(1,1) Power Model and Its Application on Settlement Prediction
[11]
LI Hongda，ZHANG Xianyun，WANG Xiaohong，ZOU Guangqian. Model Establishment and Accuracy Analysis of Atmospheric Weighted Mean Temperature in Guizhou Region
[12]
XIE Shaofeng,LI Guohong,ZHOU Zhihao,ZHAO Yun,ZHANG Wei. Research on the Tm Model of Non-Meteorological Parameters in Guangxi
[13]
LI Li, SONG Yue, ZHOU Jialing. Preliminary Exploration of GNSS Meteorological Elements Using Wavelet Transform for Rainstorm Prediction
[14]
YUAN Debao,ZHANG Jian,ZHAO Chuanwu,DU Shigao,Peng Jinying. GNSS Height Fitting Based on Improved RBF Neural Network
[15]
LI Yuan,LI Li,ZHANG Zhen,GU Jiawei,ZHOU Jialing,XIE Wei. Research on Seasonal and Multifactor Model of Weighted Average Temperature in Yangtze River Delta
