基于EEMD-SARIMA的对流层延迟预测模型研究

Research on Tropospheric Delay Prediction Model Based on EEMD-SARIMA

在无气象数据的条件下,提出一种基于集合经验模态分解(EEMD)和季节性自回归移动平均模型(SARIMA)的对流层延迟(ZTD)预报新方法,并分别选取长春、上海、乌鲁木齐3个地区4个季节的ZTD数据进行预测分析。结果表明,基于EEMD-SARIMA的ZTD改正预报模型能够满足不同地区、不同季节下的ZTD估计需求,是一种高精度的ZTD预报方法。

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.