Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18891
Title: Wet refractivity tomography with an improved Kalman-Filter method
Authors: Cao, Y
Chen, Y 
Li, P
Keywords: GPS
Kalman filter
Tomography
Wet refractivity
Issue Date: 2006
Source: Advances in atmospheric sciences, 2006, v. 23, no. 5, p. 693-699 How to cite?
Journal: Advances in Atmospheric Sciences 
Abstract: An improved retrieval method, which uses the solution with a Gaussian constraint as the initial state variables for the Kalman Filtering (KF) method, was developed to retrieve the wet refractivity profiles from slant wet delays (SWD) extracted by the double-differenced (DD) GPS method. The accuracy of the GPS-derived SWDs is also tested in this study against the measurements of a water vapor radiometer (WVR) and a weather model. It is concluded that the GPS-derived SWDs have similar accuracy to those measured with WVR and are much higher in quality than those derived from the weather model used. The developed method is used to retrieve the 3D wet refractivity distribution in the Hong Kong region. The retrieved profiles agree well with the radiosonde observations, with a difference of about 4 mm km-1 in the low levels. The accurate profiles obtained with this method are applicable in a number of meteorological applications.
URI: http://hdl.handle.net/10397/18891
ISSN: 0256-1530
DOI: 10.1007/s00376-006-0693-y
Appears in Collections:Journal/Magazine Article

SFX Query Show full item record

SCOPUSTM   
Citations

9
Last Week
0
Last month
0
Citations as of Dec 7, 2017

WEB OF SCIENCETM
Citations

6
Last Week
0
Last month
0
Citations as of Dec 16, 2017

Page view(s)

50
Last Week
1
Last month
Citations as of Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.