Typhoon Weather GNSS ZTD Cycle Characteristics Analysis Based on FFT and Wavelet Transform
Abstract Using GNSS observation data of CMONOC, combned with typhoon event data, we study the influence of typhoon events on water vapor cycle in Chinese mainland area. We find that under the influence of typhoon, the change period of GNSS ZTD will be shortened compared with normal weather, and precipitation will increase. Compared with the rainfall process, we find that before the rainfall occurs in the typhoon process, ZTD will change violently and keep at a peak value. By comparing and analyzing GNSS stations with different distances from the typhoon center, a typhoon’s first passing through the regional station fluctuates earlier than ZTD’s later passing station, and typhoon precipitation in the first area is greater than in the second area. This analysis of the periodic variation characteristics of water vapor in Chinese mainland during typhoon events, can provide reference value for typhoon track forecast, typhoon disaster warning and extreme precipitation warning of meteorological departments.
Key words ：
GNSS ZTD
typhoon
wavelet transform
FFT
periodic characteristics
Cite this article:
LOU Zesheng,ZHANG Gaobo,JIA Xiangyu et al. Typhoon Weather GNSS ZTD Cycle Characteristics Analysis Based on FFT and Wavelet Transform[J]. jgg, 2023, 43(10): 1032-1038.
LOU Zesheng,ZHANG Gaobo,JIA Xiangyu et al. Typhoon Weather GNSS ZTD Cycle Characteristics Analysis Based on FFT and Wavelet Transform[J]. jgg, 2023, 43(10): 1032-1038.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2023/V43/I10/1032
[1]
LI Zhuoying, CHEN Yilun, LI Weibiao. Influence of Typhoon on Tropospheric Delay of Satellite Navigation
[2]
ZHANG Can, Lü Weicai, GUO Zhongchen, LIU Yu, XIE Shicheng. An Optimized Combined Prediction Model for Surface Subsidence Based on GA-KF and BP-Adaboost
[3]
LIU Jiangtao,LIU Shuangtong,YE Zhengzhen,GAO Zhiyu. A Regional Precise Zenith Tropospheric Delay Combined Prediction Model
[4]
WANG Lujun,YIN Zhanjun,ZHAI Hao,NI Ming,ZHANG Fan,LIU Fang. Automatic Identification and Analysis of Natural Earthquake and Artificial Blasting in Inner Mongolia Region Seismic Network Based on Support Vector Machine
[5]
WANG Mindun,SHANG Junna. Gross Error Data Processing Method for GNSS Deformation Monitoring Time Series
[6]
GUO Xiaofei,OU Tonggeng,MA Wugang,WU Linbin,ZHAO Yifei,LIU Jun,XU Chunyang. A New Random Noise Attenuation Method of Seismic Signal Based on CEEMDAN and Wavelet Transform
[7]
YU Tengli,WANG Yong,HUANG Jing,YANG Jun,ZHAN Wei. The Response of GNSS ZTD in Chinese Mainland to the
Super Eastern Pacific El Niño
[8]
HU Yuan,YUAN Xintai,CHEN Xingyang,JIANG Zhihao,LIU Wei. GNSS-IR Model of Sea Level Altimetry Inversion Combining Wavelet Transform with Improved Burg Algorithm
[9]
LU Tieding,HUANG Jiawei,HE Xiaoxing,Lü Kaiyun. Short-Term Ionospheric TEC Prediction Using EWT-Elman Combination Model
[10]
PENG Zhao,SHAO Yongqian,LI He,LIU Lintao. Research on Seismic Detection Based on Machine Learning with Small Sample
[11]
LU Tieding,HUANG Jiawei, LU Chunyang,HE Xiaoxing,QIAN Wenlong. Short-Term Ionospheric TEC Prediction Model Based on EWT-ARMA
[12]
WANG Yong, YU Tengli, LIU Yanping, ZHAN Wei. Study on the Periodic Variation of SOI and GNSS ZTD Based on FFT and Wavelet Transform
[13]
XIE Bo, SHI Fuqiang, MA Sheng, LI Feng. Micro-Seismic Signal Denoising Method Based on EWT-Component Threshold and SVD
[14]
LIU Bei,REN Dong. The Study of GNSS-PWV Prediction Based on Wavelet Transform and RBF Neural Network
[15]
LIU Yanping,WANG Yong,DING Keliang,LIU Xiao,ZHAN Wei. Short Term Frequency Domain Characteristics of GNSS PWV Based on CMONOC
