测绘学报 ›› 2020, Vol. 49 ›› Issue (9): 1112-1119.doi: 10.11947/j.AGCS.2020.20200339

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基于北斗/GNSS的中国-中南半岛地区大气水汽气候特征及同降水的相关分析

施闯1, 张卫星2, 曹云昌3, 楼益栋2, 梁宏3, 范磊1, C SATIRAPOD4, C TRAKOLKUL4   

  1. 1. 北京航空航天大学卫星导航与移动通信融合技术工业与信息化部重点实验室, 北京 100191;
    2. 武汉大学卫星导航定位技术研究中心, 湖北 武汉 430079;
    3. 中国气象局气象探测中心, 北京 100081;
    4. 泰国朱拉隆功大学测量工程学院, 泰国 曼谷 10330
  • 收稿日期:2020-07-22 修回日期:2020-08-09 发布日期:2020-09-19
  • 通讯作者: 张卫星 E-mail:zhangweixing89@whu.edu.cn
  • 作者简介:施闯(1968-),男,教授,研究方向为高精度卫星导航定位。E-mail:shichuang@buaa.edu.cn
  • 基金资助:
    国家自然科学基金(41961144015;41804023;41774036)

Atmospheric water vapor climatological characteristics over Indo-China region based on BeiDou/GNSS and relationships with precipitation

SHI Chuang1, ZHANG Weixing2, CAO Yunchang3, LOU Yidong2, LIANG Hong3, FAN Lei1, C SATIRAPOD4, C TRAKOLKUL4   

  1. 1. Laboratory of Navigation and Communication Fusion Technology, Ministry of Industry and Information Technology, Beihang University, Beijing 100191, China;
    2. GNSS Research Center, Wuhan University, Wuhan 430072, China;
    3. Meteorological Observation Centre of CMA, Beijing 100081, China;
    4. Department of Survey Engineering, Chulalongkon University, Bangkok 10330, Thailand
  • Received:2020-07-22 Revised:2020-08-09 Published:2020-09-19
  • Supported by:
    The National Natural Science Foundation of China (Nos. 41961144015;41804023;41774036)

摘要: 本文采用统一的处理模型和处理策略对中国-中南半岛地区地基北斗/GNSS测站2006—2016年历史观测数据进行高精度重处理和水汽反演,获得近10年的大气可降水含量(PWV)产品。基于北斗/GNSS PWV产品,研究了该地区大气水汽平均含量、年周期振幅和半年周期振幅等气候特征,发现这些特征主要受到了测站纬度、高程以及季风的影响。通过分析PWV同并址气象站降水观测的关联特性,揭示了该地区大气水汽含量同降水相关性随测站纬度减小而降低的特点(在云南相关系数可达0.8,在靠近赤道的泰国南部相关系数约为0.2)。此外,PWV和降水的距平值相关分析表明,相比于历史同期,大气水汽含量较高的月份在一定程度上对应着降水异常偏高,两者相关系数为0.2~0.4。

关键词: 中国-中南半岛地区, 北斗/GNSS, 大气可降水含量, 降水, 气候变化

Abstract: The historical BeiDou/GNSS observations from 2006 to 2016 at stations over Indo-China region were reprocessed with consistent models and strategies. Precipitable water vapor (PWV) products were then retrieved, and were used to study the atmospheric water vapor climatological characteristics over Indo-China region, including the average PWV, PWV annual amplitudes and PWV semi-annual amplitudes. The climatological characteristics of the PWV are found to be mainly affected by the station latitude, station altitude and the monsoon system in this region. Relationship between PWV and precipitation were explored in the study region. A clear correlation is found and the correlation coefficient (R) generally decreases with the station latitude where R can reach 0.8 in Yunnan Province while decrease to about 0.2 in the southern Thailand region close to the equator. In addition, PWV and precipitation monthly anomaly also show weak positive correlation in this region with R of about 0.2~0.4.

Key words: Indo-China region, BeiDou/GNSS, precipitable water vapor, precipitation, climate change

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