3DVAR versus Traditional Dual-Doppler Wind Retrievals of a Simulated Supercell Thunderstorm
3DVAR versus Traditional Dual-Doppler Wind Retrievals of a Simulated Supercell Thunderstorm
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模拟超级单体雷暴的 3DVAR 与传统双多普勒风反演
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
M. Biggerstaff
中科院分区：
文献类型：
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作者：
C. Potvin;D. Betten;Louis J. Wicker;K. Elmore;M. Biggerstaff
摘要在双多普勒风分析（DDA）中使用三维变分数据同化（3DVAR）框架比传统技术具有多种优势。也许最重要的是，避免了传统方法中质量连续性方程的显式积分所产生的误差。在本研究中，观测系统模拟实验 (OSSE) 用于比较 3DVAR DDA 技术和三种传统 DDA 方法的超级单体雷暴风反演。在实验中，3DVAR 技术比传统方法能够更好地反演风暴顶部附近的风。这很大程度上归因于传统反演中出现严重的高空误差，无论连续性方程积分是向上（由于垂直累积误差）、向下（由于高空水平散度场的不确定性引起的严重边界条件误差）还是在两个方向上进行。规模较小，但具有统计意义，我...
AbstractUse of the three-dimensional variational data assimilation (3DVAR) framework in dual-Doppler wind analysis (DDA) offers several advantages over traditional techniques. Perhaps the most important is that the errors that result from explicit integration of the mass continuity equation in traditional methods are avoided. In this study, observing system simulation experiments (OSSEs) are used to compare supercell thunderstorm wind retrievals from a 3DVAR DDA technique and three traditional DDA methods. The 3DVAR technique produces better wind retrievals near the top of the storm than the traditional methods in the experiments. This is largely attributed to the occurrence of severe errors aloft in the traditional retrievals whether the continuity equation integration proceeds upward (due to vertically accumulating errors), downward (due to severe boundary condition errors arising from uncertainty in the horizontal divergence field aloft), or in both directions. Smaller, but statistically significant, i...