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The Analysis of Typhoon Structures Using Advanced Microwave Sounding Unit Data and Its Application to Prediction

机译:利用先进的微波探测单元资料分析台风结构及其在预测中的应用。

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In this study, the Advanced Microwave Sounding Unit (AMSU) data are used to retrieve the temperature and velocity fields of typhoons and assimilate them with the three-dimensional variational data assimilation (3DVAR) routines for uses in numerical model predictions for typhoons. The authors' procedure of an end-to-end typhoon prediction using an AMSU-based initial condition is similar to the framework developed by Zhu et al. in 2002 but differs from it by considering a downward integration approachin part of the retrieval process and with the starting point of the integration chosen as a constant 50-hPa field without any structure. The typhoon circulation from this retrieval is thus determined objectively from the AMSU observation alone, without apreimposed typhoon vortex structure, allowing an asymmetric structure even at the inner core of a typhoon. The results show that this procedure is capable of retrieving a reasonable typhoon circulation from the AMSU data. The impact of the AMSU data onthe assimilated initial condition for prediction is shown to be especially notable in its modification of the upper-level circulation of the typhoons. With the downward integration, the error accumulates downward such that the current approach provides arelatively more accurate estimate of the upper-level circulation, important for the steering of a typhoon. Consistent with this, it is demonstrated that the inclusion of the AMSU data helps to improve the forecast of typhoon tracks for selected cases oftyphoons. This approach is less satisfying in producing an accurate retrieval and prediction of the intensity of typhoons. The reasons for this shortcoming and possible future remedies are discussed.
机译:在这项研究中,先进的微波探测单元(AMSU)数据用于检索台风的温度场和速度场,并将其与三维变分数据同化(3DVAR)例程进行同化,以用于台风的数值模型预测。作者使用基于AMSU的初始条件进行的端到端台风预报的程序与Zhu等人开发的框架相似。在2002年,但与之不同的是,它在检索过程的一部分中考虑了向下积分方法,并且将积分的起点选择为恒定的50hPa场,没有任何结构。因此,仅通过AMSU观测就客观地确定了这种取回过程中的台风环流,而没有预设的台风涡旋结构,即使在台风的内心也允许非对称结构。结果表明,该程序能够从AMSU数据中获取合理的台风环流。在对台风高层环流的修改中,AMSU数据对同化的初始预测条件的影响特别明显。随着向下积分,误差向下累积,使得当前方法相对较高地估计了高层台风,这对于台风的转向很重要。与此相吻合的是,事实证明,包括AMSU数据有助于改善某些台风案例的台风轨迹预报。在产生准确的台风强度检索和预报方面,这种方法不太令人满意。讨论了这种缺点的原因以及将来可能采取的补救措施。

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