Real-time tropospheric delay retrieval with GPS, GLONASS, Galileo and BDS data

被引:21
作者
Pan, Lin [1 ]
Guo, Fei [1 ]
机构
[1] Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China
来源
SCIENTIFIC REPORTS | 2018年 / 8卷
基金
中国国家自然科学基金;
关键词
ATMOSPHERIC WATER-VAPOR; NUMERICAL WEATHER PREDICTION; DATA ASSIMILATION; RESOLUTION; BEIDOU; MODEL;
D O I
10.1038/s41598-018-35155-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The precise point positioning (PPP) is a promising technology for the real-time retrieval of atmospheric parameters with a single receiver in anywhere, all-weather and anytime. The real-time atmospheric parameters can be applied to the time-critical meteorology, such as the severe weather nowcasting. The PPP is a satellite-based technology. Multi-constellation integration can enhance satellite geometry and increase measurement redundancy so that the solutions of atmospheric parameters are expected to be improved. Currently, the Global Navigation Satellite System (GNSS) family includes recovered GLONASS and modernized GPS as well as the emerging Galileo and BDS. A week of GNSS observations from 160 stations are processed to retrieve the tropospheric zenith total delay (ZTD) in real time. The four-constellation mixed real-time precise products including satellite orbit and clock corrections are adopted, and their quality is evaluated. The performance of ZTD estimates is assessed in terms of accuracy and convergence time by comparing with final tropospheric ZTD products provided by two analysis centers. The ZTDs retrieved from different constellation combinations (i.e., GPS/GLONASS/ Galileo/BDS, GPS/GLONASS, and GPS-only), different processing models for ionospheric delays (i.e., ionospheric-free (IF) combined PPP, and uncombined (UC) PPP), and different modes (i.e., real-time mode, and post-processing mode) are compared.
引用
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页数:17
相关论文
共 28 条
  • [1] Operational Assimilation of GPS Zenith Total Delay Observations into the Met Office Numerical Weather Prediction Models
    Bennitt, Gemma V.
    Jupp, Adrian
    [J]. MONTHLY WEATHER REVIEW, 2012, 140 (08) : 2706 - 2719
  • [2] GPS METEOROLOGY - REMOTE-SENSING OF ATMOSPHERIC WATER-VAPOR USING THE GLOBAL POSITIONING SYSTEM
    BEVIS, M
    BUSINGER, S
    HERRING, TA
    ROCKEN, C
    ANTHES, RA
    WARE, RH
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1992, 97 (D14) : 15787 - 15801
  • [3] Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data
    Boehm, J
    Niell, A
    Tregoning, P
    Schuh, H
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (07)
  • [4] Impact of high-resolution data assimilation of GPS zenith delay on Mediterranean heavy rainfall forecasting
    Boniface, K.
    Ducrocq, V.
    Jaubert, G.
    Yan, X.
    Brousseau, P.
    Masson, F.
    Champollion, C.
    Chery, J.
    Doerflinger, E.
    [J]. ANNALES GEOPHYSICAE, 2009, 27 (07) : 2739 - 2753
  • [5] Precise point positioning with quad-constellations: GPS, BeiDou, GLONASS and Galileo
    Cai, Changsheng
    Gao, Yang
    Pan, Lin
    Zhu, Jianjun
    [J]. ADVANCES IN SPACE RESEARCH, 2015, 56 (01) : 133 - 143
  • [6] Effects of atmospheric azimuthal asymmetry on the analysis of space geodetic data
    Chen, G
    Herring, TA
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 1997, 102 (B9) : 20489 - 20502
  • [7] Dach R., 2014, INT GNSS SERVICE TEC
  • [8] An evaluation of real-time troposphere estimation based on GNSS Precise Point Positioning
    Ding, Wenwu
    Teferle, Felix Norman
    Kazmierski, Kamil
    Laurichesse, Denis
    Yuan, Yunbin
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (05) : 2779 - 2790
  • [9] Real-time zenith tropospheric delays in support of numerical weather prediction applications
    Dousa, Jan
    Vaclavovic, Pavel
    [J]. ADVANCES IN SPACE RESEARCH, 2014, 53 (09) : 1347 - 1358
  • [10] Near real time GPS water vapor monitoring for numerical weather prediction in Germany
    Gendt, G
    Dick, G
    Reigber, C
    Tomassini, M
    Liu, YX
    Ramatschi, M
    [J]. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2004, 82 (1B) : 361 - 370