COEFFICIENTS IN SERIES EXPANSION OF ASTRONOMICAL
ATMOSPHERIC REFRACTION
School of Surveying & Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003
Abstract Using the theoretical relationship satisfied by atmospheric parameters between two points in the ray path, the influence of the atmosphere layer to astronomical atmospheric refraction was obtained. It not only considered the contribution of electronic displacement polarization of the dry air to astronomical atmospheric refraction, but also considered contribution of electronic displacement polarization and dipole steering polarization of water vapor. The integral representation is given, it does not depend on atmospheric distribution models, and it could adapte the calculation of different directions and meet the demand for highprecision.
Key words :
astronomical atmospheric refraction
polybasic atmospheric layer
isothermal atmospheric layer
dry air
water vapor
Received: 01 March 2012
Published: 18 June 2013
Cite this article:
Zhang Hanwei,Lei Weiwei,Ding Anmin. COEFFICIENTS IN SERIES EXPANSION OF ASTRONOMICAL
ATMOSPHERIC REFRACTION[J]. jgg, 2013, 33(3): 44-47.
Zhang Hanwei,Lei Weiwei,Ding Anmin. COEFFICIENTS IN SERIES EXPANSION OF ASTRONOMICAL
ATMOSPHERIC REFRACTION[J]. jgg, 2013, 33(3): 44-47.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2013/V33/I3/44
[1]
LIAO Fasheng,HUANG Liangke,LIU Lilong,HUANG Ling,GUO Xi,LIU Zhedong. Refinement of Atmospheric Weighted Mean Temperature Model for Southern China [J]. jgg, 2022, 42(1): 41-47.
[2]
FAN Shijie,CHEN Yan,PENG Xiuying,LIU Zhaojian,GU Yuxiang. Automatic Vertical Non-Uniform Stratification Method for GNSS Water Vapor Tomography [J]. jgg, 2021, 41(9): 924-928.
[3]
WANG Xiaolei,NIU Zijin,HE Xiufeng. Precipitation Analysis and Judgment Based on GPS Water Vapor Retrieval and GPS-IR [J]. jgg, 2021, 41(9): 929-933.
[4]
MO Zhixiang, LI Xing,HUANG Liangke,LIU Lilong, WEI Xinyi,ZHOU Qinghua. Refinement of Atmospheric Weighted Mean Temperature Model Considering the Effects of Multiple Factors for Western China [J]. jgg, 2021, 41(2): 145-151.
[5]
LIU Bei,REN Dong. The Study of GNSS-PWV Prediction Based on Wavelet Transform and RBF Neural Network [J]. jgg, 2021, 41(12): 1216-1218.
[6]
LIU Yanping,WANG Yong,DING Keliang,LIU Xiao,ZHAN Wei. Short Term Frequency Domain Characteristics of GNSS PWV Based on CMONOC [J]. jgg, 2021, 41(11): 1118-1122.
[7]
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 [J]. jgg, 2021, 41(1): 17-20.
[8]
ZHOU Yongjiang, YAO Yibin, XIONG Yongliang, SHAN Lulu. Study of Correlation between PWV and PM2.5 Based on Spearman Rank Correlation Coefficient
[J]. jgg, 2020, 40(3): 236-241.
[9]
WANG Yong,WANG Hongyi,LIU Yanping,LI Jiangbo. Study on the Prediction of PM2. 5 Concentration of Hebei Province in Winter by Combining GNSS PWV, Wind Speed [J]. jgg, 2020, 40(11): 1145-1152.
[10]
WANG Yong,REN Dong,LOU Zesheng,HAO Zhenhang. Preliminary Study on Abnormal Changes of PWV after Earthquake [J]. jgg, 2019, 39(9): 881-883.
[11]
HUANG Liangke,LI Chen,WANG Haoyu,HUANG Junsheng,LIU Lilong. Precision Analysis of the Tropospheric Weighted Mean Temperature Derived from GPT2w Model over China [J]. jgg, 2019, 39(5): 496-201.
[12]
HUANG Liangke,WU Pituan,WANG Haoyu,LIU Lilong. Refining the GPS Atmospheric Water Vapor Conversion Factor Model over Southwest China [J]. jgg, 2019, 39(3): 256-261.
[13]
WANG Yong,LOU Zesheng,LIU Yanping,HAO Zhenhang. ZTD Long Time Series Characteristics of IGS Stations in China and Their Relationship with Annual Precipitation [J]. jgg, 2019, 39(10): 1037-1040.
[14]
WANG Yong,DONG Sisi,LIU Yanping,SUN Zhuo,LI Jiangbo. Study of Water Vapor Transport Path Based on GNSS PWV [J]. jgg, 2018, 38(7): 703-706.
[15]
YANG Di,DING Yihang,WU Kangliang,LUO Chenxi. Analysis of Precipitable Water Vapor and Its Variations in Sichuan Using CORS Observation Data [J]. jgg, 2018, 38(6): 587-590.