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.