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Retrieval of Moisture from Slant-path Water Vapor Observations of a Hypothetical GPS Network Using a Three-Dimensional Variational Scheme with Anisotropic Background Error
| Content Provider | Semantic Scholar |
|---|---|
| Author | Liu, Haixia Xue, Ming De |
| Copyright Year | 2006 |
| Abstract | Abstract A three-dimensional variational (3DVAR) scheme is developed for retrieving three-dimensional moisture in the atmosphere from slant-path measurements of a hypothetical ground-based global positioning system (GPS) observation network. It is assumed that the observed data are in the form of slant-path water vapor (SWV), which is the integrated water vapor along the slant path between the ground receiver and the GPS satellite. The inclusion of a background in the analysis overcomes the under-determinedness problem. An explicit Gaussian-type spatial filter is used to model the background error covariances that can be anisotropic. As a unique aspect of this study, an anisotropic spatial filter based on flow-dependent background error structures is implemented and tested and the filter coefficients are derived from either true background error field or from the increment of an intermediate analysis that is obtained using an isotropic filter. In the latter case, an iterative procedure is involved. A set ... |
| Starting Page | 933 |
| Ending Page | 949 |
| Page Count | 17 |
| File Format | PDF HTM / HTML |
| DOI | 10.1175/MWR3105.1 |
| Alternate Webpage(s) | http://twister.ou.edu/papers/Liu_Xue_MWR2006.pdf |
| Alternate Webpage(s) | http://twister.ou.edu/papers/Liu_Xue_MWR2005.pdf |
| Alternate Webpage(s) | http://radiometrics.com/data/uploads/2012/11/liu_mwr06.pdf |
| Alternate Webpage(s) | https://doi.org/10.1175/MWR3105.1 |
| Volume Number | 134 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |