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GNSS PWV典型季风气候特征奇异谱分析

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为了进一步研究利用全球卫星导航系统(GNSS)大气可降水量(PWV)分析不同气候类型特征,进行GNSS PWV典型季风气候特征奇异谱分析:选取中国中东部地区2016—2021年部分连续运行参考站(CORS)数据,提出将全球气压和温度(GPT(GPT3_1、GPT3_5))模型、欧洲中期天气预报中心第五代大气再分析数据集(ERA5)模型3种大气模型分别与GNSS解算的对流层总延迟(ZTD)数据融合获取的PWV值进行对比分析,得出中国3种典型季风气候类型GNSS PWV最优大气模型;然后提出利用奇异谱分析(SSA)法分解重构出GNSS PWV时间序列,从而基于GNSS PWV分析不同季风气候类型特征.结果表明,中国3种典型季风气候类型条件下ERA5模型精度较优,选择ERA5模型为最优大气模型,重构后的GNSS PWV变化趋势能够很好地反映出3种典型季风气候类型的特征;因此GNSS PWV可应用于气候特征分析.
Singular spectrum analysis of typical monsoon climate characteristics of GNSS PWV
In order to further study the use of global navigation satellite system (GNSS) atmospheric precipitable water (PWV) to analyze the characteristics of different climate types,the paper carried out the singular spectrum analysis of typical monsoon climate characteristics of GNSS PWV:the data of continuously operating reference stations from the central and eastern regions of China from 2016 to 2021 were seleted,the PWV values obtained by fusing the global pressure and temperature (GPT (GPT3_1,GPT3-5)) models with ERA5 model and the zenith tropospheric delay (ZTD) data calculated by GNSS were comparatively analyzed,and the optimal atmospheric models of GNSS PWV for three typical monsoon climate types in China were given;then,singular spectrum nalysis (SSA) was put forwarded to decompose and reconstruct the GNSS PWV time series,in order to analyze the characteristics of different monsoon climate types based on GNSS PWV.Results showed that the ERA5 model would have better accuracy under three typical monsoon climate types in China,thus the ERA5 model could be chosen as the optimal atmospheric model,and the reconstructed GNSS PWV variation trend would well reflect the characteristics of the three typical monsoon climate types;therefore,GNSS PWV could be applied in climate feature analysis.

global navigation satellite system (GNSS)precipitable water vapor (PWV)global pressure and temperature (GPT) modelEuropean Centre for Medium-range Weather Forecasts reanalysis v5 (ERA5)singular spectrum analysis (SSA)climate characteristics

姚欢欢、党亚民、杨强、闫明豪、陈洪凯、李惠玲

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山东省地震局 泰安地震监测中心站,山东 泰安 271000

中国测绘科学研究院,北京 100036

全球卫星导航系统(GNSS) 大气可降水量(PWV) 全球气压和温度(GPT)模型 欧洲中期天气预报中心第五代大气再分析数据集(ERA5) 奇异谱分析(SSA) 气候特征

2024

10.16547/j.cnki.10-1096.20240503

导航定位学报

导航定位学报

CSTPCD北大核心
影响因子：0.72
ISSN：
年,卷(期)：2024.12(5)