Responses of GNSS ZTD Variations to ENSO Events and Prediction Model Based on FFT-LSTME

Author:

Yu Tengli1ORCID,Wang Ershen2ORCID,Jin Shuanggen3ORCID,Wang Yong4ORCID,Huang Jing4ORCID,Liu Xiao5ORCID,Zhan Wei5ORCID

Affiliation:

1. School of Aerospace Engineering, Shenyang Aerospace University, Shenyang, China

2. School of Electronic and Information Engineering and the Liaoning General Aviation Academy, Shenyang Aerospace University, Shenyang, China

3. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China

4. School of Geology and Geomatics, Tianjin Chengjian University, Tianjin, China

5. First Monitoring and Application Center, China Earthquake Administration, Tianjin, China

Funder

National Natural Science Foundation of China

SongShan Laboratory Foundation

Open Fund of Key Laboratory of Civil Aviation Flights Wide Area Surveillance and Safety Control Technology, Civil Aviation University of China

Applied Basic Research Programs of Liaoning Province

Open Fund of Key Laboratory of Flight Techniques and Flight Safety Civil Aviation Administration Of China

Special Funds Program of Civil Aircraft

Special Funds Program of Shenyang Science and Technology

State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology (IPM), Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference71 articles.

1. Sampling Errors in the Estimation of Empirical Orthogonal Functions

2. Correlation analysis between haze and GNSS tropospheric delay based on coherent wavelet;yao;Geomat Inf Sci Wuhan Univ,2018

3. Empirical orthogonal functions and related techniques in atmospheric science: A review

4. ZTD long time series characteristics of IGS stations in China and their relationship with annual precipitation;wang;Journal of Geodesy and Geodynamics,2019

5. Generalized additive models;hastie;Statistical Models in S,1992

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