Wind and Temperature Retrievals in the 17 May 1981 Arcadia, Oklahoma, Supercell: Ensemble Kalman Filter Experiments
Wind and Temperature Retrievals in the 17 May 1981 Arcadia, Oklahoma, Supercell: Ensemble Kalman Filter Experiments
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DOI：
10.1175/1520-0493(2004)132
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发表时间：
2004-08
影响因子：
3.2
通讯作者：
D. Dowell;Fuqing Zhang;Louis J. Wicker;C. Snyder;N. A. Crook
中科院分区：
文献类型：
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作者：
D. Dowell;Fuqing Zhang;Louis J. Wicker;C. Snyder;N. A. Crook
本文通过对1981年5月17日俄克拉荷马州阿卡迪亚龙卷风超级单体的观测，验证了用集合卡尔曼滤波(EnKF)反演孤立对流风暴中风场和温度场的可行性。将单个雷达的径向速度和反射率观测同化为一个以理想化(水平均匀)基态初始化的非静力、滞弹性数值模式。将同化结果与另一台多普勒雷达的观测结果、双多普勒风合成的结果以及仪表塔的现场测量结果进行了比较。观测误差使得评估EnKF的性能比以前使用合成观测和完美模式的风暴尺度EnKF实验更加困难；然而，这次的比较表明，阿卡迪亚风暴中主要上升气流和中气旋的位置得到了相当准确的确定，特别是在中层。V的大小..。
Abstract The feasibility of using an ensemble Kalman filter (EnKF) to retrieve the wind and temperature fields in an isolated convective storm has been tested by applying the technique to observations of the 17 May 1981 Arcadia, Oklahoma, tornadic supercell. Radial-velocity and reflectivity observations from a single radar were assimilated into a nonhydrostatic, anelastic numerical model initialized with an idealized (horizontally homogeneous) base state. The assimilation results were compared to observations from another Doppler radar, the results of dual-Doppler wind syntheses, and in situ measurements from an instrumented tower. Observation errors make it more difficult to assess EnKF performance than in previous storm-scale EnKF experiments that employed synthetic observations and a perfect model; nevertheless, the comparisons in this case indicate that the locations of the main updraft and mesocyclone in the Arcadia storm were determined rather accurately, especially at midlevels. The magnitudes of v...