| 基于EEMD-SARIMA的对流层延迟预测模型研究 |
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| 引用本文： | 任 超,刘中流,梁月吉,甘祥前.基于EEMD-SARIMA的对流层延迟预测模型研究[J].大地测量与地球动力学,2018,38(9):953-957. |
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| 作者姓名： | 任 超 刘中流 梁月吉 甘祥前 |
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| 摘 要： | 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。
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| 关 键 词： | 对流层延迟 集合经验模态分解 自回归移动平均模型 季节性分析 相对湿度 |
Research on Tropospheric Delay Prediction Model Based on EEMD-SARIMA |
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| REN Chao,LIU Zhongliu,LIANG Yueji,GAN Xiangqian.Research on Tropospheric Delay Prediction Model Based on EEMD-SARIMA[J].Journal of Geodesy and Geodynamics,2018,38(9):953-957. |
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| Authors: | REN Chao LIU Zhongliu LIANG Yueji GAN Xiangqian |
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| 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. |
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| Keywords: | tropospheric delay EEMD ARIMA seasonal analysis relative humidity |
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