Preliminary results of 4-D water vapor tomography in the troposphere using GPS

被引:37
|
作者
Bi Yanmeng [1 ]
Mao Jietai [1 ]
Li Chengcai [1 ]
机构
[1] Peking Univ, Dept Atmospher Sci, Sch Phys, Beijing 100871, Peoples R China
关键词
GPS; slant path; water vapor; tomography;
D O I
10.1007/s00376-006-0551-y
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Slant-path water vapor amounts (SWV) from a station to all the GPS (Global Positioning System) satellites in view call be estimated by using a ground-based GPS receiver. In this paper, a tomographic method was utilized to retrieve the local horizontal and vertical structure of water vapor over a local GPS receiver network using SWV amounts as observables in the tomography. The method of obtaining SWV using ground-based GPS is described first, and then the theory of tomography using GPS is presented. A water vapor tomography experiment was made using a small GPS network in the Beijing region. The tomographic results were analyzed in two ways: (1) a pure GPS method, i.e., only using GPS observables, as input to the tomography; (2) combining GPS observables with vertical constraints or a priori information, which come from average radiosonde measurements over three days. It. is shown that, the vertical structure of water vapor is well resolved with a priori information. Comparisons of profiles between radiosondes and GPS show that the RMS error of the tomography is about 1-2 mm. It. is demonstrated that the tomography can monitor the evolution of tropospheric water vapor in space and time.. The vertical resolution of the tomography is tested with layer thicknesses of 600 m: 800 m and 1000 m. Comparisons with radiosondes show that the result, from a resolution of 800 in is slightly better than results from the other two resolutions in the experiment. Water vapor amounts recreated from the tomography field agree well with precipitable water vapor (PWV) calculated using GPS delays. Hourly tomographic results are also shown using the resolution of 800 in. Water vapor characteristics under the background of heavy rainfall development are analyzed using these tomographic results. The water vapor spatio-temporal structures derived from the GPS network show a great potential in the investigation of weather disasters.
引用
收藏
页码:551 / 560
页数:10
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