GNSS World of China

Volume 47 Issue 3
Jul.  2022
Turn off MathJax
Article Contents
WANG Yong, JIANG Nuohan, LIU Yanping, LIU Xiao, ZHAN Wei. Study on FY-4A PWV correction model in Beijing-Tianjin-Hebei region[J]. GNSS World of China, 2022, 47(3): 119-126. doi: 10.12265/j.gnss.2021092604
Citation: WANG Yong, JIANG Nuohan, LIU Yanping, LIU Xiao, ZHAN Wei. Study on FY-4A PWV correction model in Beijing-Tianjin-Hebei region[J]. GNSS World of China, 2022, 47(3): 119-126. doi: 10.12265/j.gnss.2021092604

Study on FY-4A PWV correction model in Beijing-Tianjin-Hebei region

doi: 10.12265/j.gnss.2021092604
  • Received Date: 2021-09-26
    Available Online: 2022-06-10
  • Integrating Global Navigation Satellite System (GNSS) and Fengyun meteorological satellite FY-4A can obtain high-precision and high-spatial resolution water vapor distribution information. This paper used the GNSS observation data from crustal movement observation network of China (CMONOC) to carry out the FY-4A water vapor correction study in the Beijing-Tianjin-Hebei region. Firstly, the Beijing-Tianjin-Hebei region was divided into four regions, and the correlation analysis between GNSS precipitable water vapor (PWV) and FY-4A PWV was carried out by regions and seasons. Secondly, different function models were selected by region and season and combined with GNSS PWV data to construct the FY-4A PWV correction models. Then, the GNSS PWV was compared with the results of the regional model and the single-site model respectively to carry out the reliability test of the model. Finally, the corrected FY-4A PWV distribution in the Beijing-Tianjin-Hebei region was obtained through regional FY-4A PWV correction and mosaiced. Research shows that the FY-4A PWV has a good correlation with GNSS PWV, and the accuracy of the regional FY-4A PWV correction model is equivalent to that of the single-site model, which can replace the single-site model for the FY-4A PWV correction. The regional model based on CMONOC GNSS PWV can improve the accuracy of FY-4A PWV to a certain extent, and provide references for the short-term weather forecast and InSAR atmospheric correction.

     

  • loading
  • [1]
    王勇, 郝振航, 娄泽生, 等. 京津冀地区GNSS对流层延迟空间插值研究[J]. 全球定位系统, 2019, 44(1): 101-107.
    [2]
    路洁, 刘晶, 刘明阳, 等. 近55年京津冀地区降水多尺度分析[J]. 水利水运工程学报, 2020(6): 23-31. DOI: 10.12170/20191019001
    [3]
    HUANG L K, MO Z X, XIE S F, et al. Spatiotemporal characteristics of GNSS-derived precipitable water vapor during heavy rainfall events in Guilin, China[J]. Satellite navigation, 2021, 2(1): 13. DOI: 10.1186/s43020-021-00046-y
    [4]
    GONG S Q, HAGAN D F, LU J, et al. Validation on MERSI/FY-3A precipitable water vapor product[J]. Advances in space research, 2018, 61(1): 413-425. DOI: 10.1016/j.asr.2017.10.005
    [5]
    张卫星. 中国区域融合地基GNSS等多种资料水汽反演、变化分析及应用[D]. 武汉: 武汉大学, 2016.
    [6]
    王江涛, 邓喀中, 范洪冬, 等. 基于MODIS与GPS的D-InSAR大气延迟改正量提取[J]. 测绘科学技术学报, 2012, 29(4): 271-275. DOI: 10.3969/j.issn.1673-6338.2012.04.009
    [7]
    鄢子平, 李振洪. InSAR大气水汽改正模型的比较应用研究[J]. 武汉大学学报(信息科学版), 2008, 33(7): 723-726.
    [8]
    王勇, 柳林涛, 许厚泽, 等. 利用GPS技术反演中国大陆水汽变化[J]. 武汉大学学报(信息科学版), 2007, 32(2): 152-155.
    [9]
    赵庆志. 地基GNSS水汽反演关键技术研究及其应用[J]. 测绘学报, 2018, 47(3): 424. DOI: 10.11947/j.AGCS.2018.20170427
    [10]
    YAO Y B, SHAN L L, ZHAO Q Z. Establishing a method of short-term rainfall forecasting based on GNSS-derived PWV and its application[J]. Scientific reports, 2017, 7(1): 12465. DOI: 10.1038/s41598-017-12593-z
    [11]
    WANG Y, LIU Y P, LIU L T, et al. Retrieval of the change of precipitable water vapor with zenith tropospheric delay in the chinese mainland[J]. Advances in space research, 2009, 43(1): 82-88. DOI: 10.1016/j.asr.2007.07.050
    [12]
    马赛, 岳迎春, 上官明, 等. 基于GNSS的MODIS大气可降水量校正模型[J]. 南京信息工程大学学报, 2021, 13(2): 154-160.
    [13]
    WANG Y Z, LIU H L, ZHANG Y, et al. Validation of FY-4A AGRI layer precipitable water products using radiosonde data[J]. Atmospheric research, 2021(253): 105502. DOI: 10.1016/j.atmosres.2021.105502
    [14]
    李炳. 基于多源数据分析日本水汽时空分布特征[D]. 成都: 西南交通大学, 2020.
    [15]
    徐娜, 胡秀清, 陈林. FY-2水汽通道光谱响应测量大气污染评估和订正[J]. 光谱学与光谱分析, 2017, 37(8): 2325-2330.
    [16]
    燕振宁, 马学谦. 青海高原不同地区大气水汽含量对比分析[J]. 干旱气象, 2018, 36(3): 365-372,422.
    [17]
    刘备, 王勇, 娄泽生, 等. CMONOC观测约束下的中国大陆地区MODIS PWV校正[J]. 测绘学报, 2019, 48(10): 1207-1215. DOI: 10.11947/j.AGCS.2019.20180386
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(3)  / Tables(6)

    Article Metrics

    Article views (287) PDF downloads(33) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return