An application of the immersed boundary method for recovering the three-dimensional wind fields over complex terrain using multiple-doppler radar data

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题名:	An application of the immersed boundary method for recovering the three-dimensional wind fields over complex terrain using multiple-doppler radar data
作者:	廖宇慶;Liou, Yu-Chieng;Chang, Shao-Fan;Sun, Juanzhen
贡献者:	地球科學學院大氣科學學系
关键词:	Algorithms;Boundaries;Boundary conditions;Dirichlet problem;Doppler effect;Earth, ocean, space;Exact sciences and technology;External geophysics;Mathematical models;Meteorology;Orography;Radar;Radar data;Studies;Synthesis;Terrain;Three dimensional;Wind
日期:	2012-05-01
上传时间:	2026-04-21 13:35:27 (UTC+8)
出版者:	American Meteorological Society;Boston, MA: American Meteorological Society
摘要:	摘要： This study develops an extension of a variational-based multiple-Doppler radar synthesis method to construct the three-dimensional wind field over complex topography. The immersed boundary method (IBM) is implemented to take into account the influence imposed by a nonflat surface. The IBM has the merit of providing realistic topographic forcing without the need to change the Cartesian grid configuration into a terrain-following coordinate system. Both Dirichlet and Neumann boundary conditions for the wind fields can be incorporated. The wind fields above the terrain are obtained by variationally adjusting the solutions to satisfy a series of weak constraints, which include the multiple-radar radial velocity observations, anelastic continuity equation, vertical vorticity equation, background wind, and spatial smoothness terms. Experiments using model-simulated data reveal that the flow structures over complex orography can be successfully retrieved using radial velocity measurements from multiple Doppler radars. The primary advantages of the original synthesis method are still maintained, that is, the winds along and near the radar baseline are well retrieved, and the resulting three-dimensional flow fields can be used directly for vorticity budget diagnosis. If compared with the traditional wind synthesis algorithm, this method is able to merge data from different sources, and utilize data from any number of radars. This provides more flexibility in designing various scanning strategies, so that the atmosphere may be probed more efficiently using a multiple-radar network. This method is also tested using the radar data collected during the Southwest Monsoon Experiment (SoWMEX), which was conducted in Taiwan from May to June 2008 with reasonable results being obtained. 出版者： Boston, MA: American Meteorological Society 出版日期： 2012-05-01 出處： Monthly Weather Review, 2012-05, Vol.140 (5), p.1603-1619 資源來源： EBSCOhost OmniFile Full Text Select 版權： 2015 INIST-CNRS 版權： Copyright American Meteorological Society May 2012 識別號： ISSN: 0027-0644 識別號： ISSN: 1520-0493 識別號： EISSN: 1520-0493 識別號： DOI: 10.1175/mwr-d-11-00151.1 識別號： CODEN: MWREAB
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