Short Term Frequency Domain Characteristics of GNSS PWV Based on CMONOC
Abstract According to the climate type, the mainland of China is divided into five regions, and a number of sites are randomly sampled from each region for analysis. Based on the fast Fourier transform(FFT) method, we use GNSS data from crustal movement observation network of China(CMONOC) in 2016 for characteristics analysis of PWV in short term frequency domain, and extract GNSS PWV cycle characteristics of different seasons. The results show that the characteristics of PWV frequency domain have obvious regional variation and seasonal difference. There are obvious periodic changes in the GNSS stations of plateau mountain climate, tropical monsoon climate and subtropical monsoon climate. The PWV amplitude is higher in the tropical monsoon, subtropical monsoon and coastal regions, and it is lower in plateau mountainous and temperate continental regions.
Key words :
GNSS
PWV
FFT
frequency domain characteristics
Cite this article:
LIU Yanping,WANG Yong,DING Keliang et al. Short Term Frequency Domain Characteristics of GNSS PWV Based on CMONOC[J]. jgg, 2021, 41(11): 1118-1122.
LIU Yanping,WANG Yong,DING Keliang et al. Short Term Frequency Domain Characteristics of GNSS PWV Based on CMONOC[J]. jgg, 2021, 41(11): 1118-1122.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2021/V41/I11/1118
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