Research on Tropospheric Delay Prediction Model Based on EEMD-SARIMA
Abstract Taking as an assumption the absence of meteorological data, the author proposes a new method of zenith tropospheric delay(ZTD) prediction based on ensemble empirical mode decomposition (EEMD) and seasonal autoregressive integrated moving average models (SARIMA). The author chose ZTD data of 4 seasons in 3 different areas of China (Changchun, Shanghai and Urumqi), and did a prediction analysis. The results of the analysis show that ZTD processed prediction model with EEMD-SARIMA can satisfy calculation needs in different areas and seasons. It is a high precision ZTD forecasting method.
Key words :
tropospheric delay
EEMD
ARIMA
seasonal analysis
relative humidity
Cite this article:
REN Chao,LIU Zhongliu,LIANG Yueji et al. Research on Tropospheric Delay Prediction Model Based on EEMD-SARIMA[J]. jgg, 2018, 38(9): 953-957.
REN Chao,LIU Zhongliu,LIANG Yueji et al. Research on Tropospheric Delay Prediction Model Based on EEMD-SARIMA[J]. jgg, 2018, 38(9): 953-957.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2018/V38/I9/953
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