Bi Yanmeng, Mao Jietai, Mao Hui. Tropospheric water vapor profiles using GPS network in Hainan. J Appl Meteor Sci, 2008, 19(4): 412-419.
Citation: Bi Yanmeng, Mao Jietai, Mao Hui. Tropospheric water vapor profiles using GPS network in Hainan. J Appl Meteor Sci, 2008, 19(4): 412-419.

Tropospheric Water Vapor Profiles Using GPS Network in Hainan

  • Received Date: 2007-07-23
  • Rev Recd Date: 2008-01-07
  • Publish Date: 2008-08-31
  • Water vapor plays a key role in atmospheric processes. Water vapor field is also one of the initial conditions needed by numerical weather prediction. Its distribution remains difficult to quantify due to water vapor's high variability in time and space and the deficiency of available measurements. The GPS has proved its capacity to measure the integ rated water vapor at zenith with the same accuracy as other methods, such as radiosonde and water vapor radiometers, which has been demonstrated by many experiments and GPS precipitable water vapor has been operated in many areas. Recent studies also show that it is possible to quantify the integ rated water vapor in the direction of signals of the GPS satellite. These observations can be used to study the water vapor tomography using GPS network. That is to use the water vapor amount along slant path of GPS satellites to form observation equations and to obtain the vertical profile information over GPS sites by solving these equations.The principle of tomography is introduced in which slant path observations from ground-based GPS is used and the method of calculating the observation equations is presented. During November in 2005, a small GPS network experiment is carried out in Hainan. The purpose of this experiment is to study the tomography tropospheric water vapor profiles based on GPS slant path observations. Without a priori information of water vapor, the absolute value of water vapor is difficult to resolve. After the method of GPS raw data processing is summarized, how to use a priori information is also analyzed. The period of tomography is from Nov 17 to 21 in 2005. Three different vertical tomographic resolutions of 600 m, 800 m and 1000 m are tested and analyzed. Results show that these resolutions have no large difference. Therefore, tomographic resolution from 500 m to 1000 m can be applied in practical use. In the experiment, tomographic vertical resolution of 1000 m is selected. Three different plans using a priori information are described.In the first plan, priori information is the earliest radiosonde at 00:00 on Nov 17, 2005. In the second plan, the latest radiosonde before the retrieved time is used as priori information. The average radiosondes are used in the third plan during the experiment. In the first and the third plan, priori information is hold but in the second plan priori information is changed and regenerated. Water vapor vertical profiles derived from GPS tomography are compared with that measured by radiosonde in Haikou site. The results show that they agree well with each other and the root-mean-square error (RMSE) is about 0.5 g·m -3. The process of water vapor decreasing and atmosphere drying is well reflected by GPS tomography. The tomographic results from different priori information used in tomographic method are also analyzed. It is demonstrated that water vapor priori information is obviously adjusted by GPS observation. And some problems in tomography are also discussed. Vertical profile distribution of tropospheric water vapor can be retrieved from GPS measurements with high time resolution through tomography inversion.
  • Fig. 1  Location of the ground-based GPS network in Hainan with the horizontal grids

    Fig. 2  Comparision of water vapor vertical profiles between GPS and radiosonde at Haikou station at 00:00-01:00 and 12:00-13:00 on Nov 20, 2005

    Fig. 3  Comparision of water vapor vertical profiles between GPS and radiosonde at Haikou station at 00:00-01:00 and 12:00-13:00 on Nov 21, 2005

    Fig. 4  Tomographic results from different a priori information versus observations by radiosonde

    (line with cross-shaped symbol is the first plan using radiosonde in 321 day of year as a priori values; line with circle symbol represents the second plan using the latest radiosonde before this time as a priori information; line with square symbol is the third plan using a priori information from average radionsonde; line with diamond symbol shows the single radiosonde in day 325)

    Fig. 5  Scatterplots of results from radiosonde and tomography during the experiment

    (a) tomographic results using radiosonde at 00:00 as a priori information on Nov 17, 2005, (b) using latest radiosonde before the time of retrieval, (c) using average radiosonde

    Fig. 6  Scatterplots of GPS tomography, a priori information and radiosonde on Nov 21, 2005

    (diamond symbol denotes comparison between a priori information and radiosonde, solid line is fitting line passing origin; triangle symbol denotes the results from GPS and radiosonde; dashed line is fitting line passing origin)

    Table  1  Tomographic statistics results of different resolutions

  • [1]
    Bevis M, Businger S, Herring T A, et al. GPS meteorology; Remote sensing of atmospheric water vapor using the global positioning system. J Geophys Res, 1992, 97: 15787-15801. doi:  10.1029/92JD01517
    [2]
    Rocken C, Ware R, Van Hove T, et al. Sensing atmospheric water vapor with the Global Positioning System. Geophys Res Lett, 1993, 20: 2631-2634. doi:  10.1029/93GL02935
    [3]
    Ware R, Alber C, Rccken C, et al. Sensing integrated water vapor along GPS ray paths. Geophys Res Lett, 1997, 24:417-420. doi:  10.1029/97GL00080
    [4]
    Alber C, Ware R, Rocken C, et al. Obtaining single path phase delays from GPS double differences. Geophys Res Lett, 2000, 27: 2661-2664. doi:  10.1029/2000GL011525
    [5]
    Braun J, Rocken C, Ware R. Validation of line-of-sight water vapor measurements with GPS. Radio Sci, 2001, 36: 459-472. doi:  10.1029/2000RS002353
    [6]
    Braun J, Rocken C, Liljegren James. Comparisons of line-of-sight water vapor observations using the Global Positioning System and a pointing microwave radiometer. J Atmos Ocean Technol, 2003, 20: 606-612. doi:  10.1175/1520-0426(2003)20<606:COLOSW>2.0.CO;2
    [7]
    Flores A, Rius A, Ruffini G. 4D tropospheric tomography using GPS slant wet delays. Ann Geopkys, 2000, 18: 223-224. doi:  10.1007/s00585-000-0223-7
    [8]
    Braun J, Rocken C. Water Vapor Tomography within the Planetary Boundary Layer Using GPS. International Workshop on GPS Meteorology, Tsukuba, Japan, 2003. https://www.researchgate.net/profile/John_Braun2/publication/228573377_Water_vapor_tomography_within_the_planetary_boundary_layer_using_GPS/links/00b7d5385ff8537f6e000000.pdf?origin=publication_detail
    [9]
    毕研盟, 毛节泰, 刘晓阳, 等.应用地基GPS遥感倾斜路径方向大气水汽总量.地球物理学报, 2006, 49(2):335-342. http://www.cnki.com.cn/Article/CJFDTOTAL-DQWX200602004.htm
    [10]
    毛辉, 毛节泰, 毕研盟, 等.遥感GPS倾斜路径信号构筑水汽时空分布图.中国科学 (D辑), 2006, 36(12):1177-1186. http://www.cnki.com.cn/Article/CJFDTOTAL-JDXK200612012.htm
    [11]
    Eugenia Kalnay.大气模式、资料同化和可预报性.蒲朝霞, 杨福全, 邓北胜, 等译.北京:气象出版社, 2005.
    [12]
    Ruffini G, Flores A, Rius A. GPS tomography of the ionospheic electron content with a correlation functional. IEEE Tram Geos Remote sensing, 1998, 36: 143-153. doi:  10.1109/36.655324
    [13]
    Bi Yanmeng, Mao Jietai, Li Chengcai. Preliminary results of 4D water vapor tomography in the troposphere using GPS. Adv Atmos Sci, 2006, 23(4): 551-560. doi:  10.1007/s00376-006-0551-y
    [14]
    Hirahara K. Local GPS tropospheric tomography. Earth Planets Space, 2000, 52: 935-939. doi:  10.1186/BF03352308
    [15]
    Champolliona C, Massona F, Bouin M, et al. GPS water vapour tomography: Preliminary results from the ESCOMPTE field experiment. Atmos Res, 2005, 74: 253-274. doi:  10.1016/j.atmosres.2004.04.003
    [16]
    Bastin S, Champollion C, Bock O, et al. On the use of GPS tomography to investigate water vapor variability during a Mistral/sea breeze event in southeastern France. Geophy Res Lett, 2005, 32 : L05808, doi: 10. 1029/2004GL021907.
    [17]
    Noguchi W, Yoshihara T, Tsuda T, et al. Time-height distribution of water vapor derived by moving cell tomography during Tsukuba GPS campaigns. J Meteor Soc Japan, 2004, 82 (1B) : 561-568. doi:  10.2151/jmsj.2004.561
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    • Received : 2007-07-23
    • Accepted : 2008-01-07
    • Published : 2008-08-31

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