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首页> 外文期刊>Journal of the Atmospheric Sciences >A Latent Heat Retrieval and Its Effects on the Intensity and Structure Change of Hurricane Guillermo(1997).Part II: Numerical Simulations
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A Latent Heat Retrieval and Its Effects on the Intensity and Structure Change of Hurricane Guillermo(1997).Part II: Numerical Simulations

机译：潜热反演及其对吉列尔莫飓风强度和结构变化的影响（1997）。第二部分：数值模拟

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摘要

In Part I of this study, a new algorithm for retrieving the latent heat field in tropical cyclones from airborne Doppler radar was presented and fields from rapidly intensifying Hurricane Guillermo(1997) were shown.In Part II, the usefulness and relative accuracy of the retrievals is assessed by inserting the heating into realistic numerical simulations at 2-km resolution and comparing the generated wind structure to the radar analyses of Guillermo.Results show that using the latent heat retrievals as forcing produces very low intensity and structure errors(in terms of tangential wind speed errors and explained wind variance) and significantly improves simulations relative to a predictive run that is highly calibrated to the latent heat retrievals by using an ensemble Kalman filter procedure to estimate values of key model parameters.Releasing all the heating/cooling in the latent heat retrieval results in a simulation with a large positive bias in Guillermo's intensity that motivates the need to determine the saturation state in the hurricane inner-core retrieval through a procedure similar to that described in Part I of this study.The heating retrievals accomplish high-quality structure statistics by forcing asymmetries in the wind field with the generally correct amplitude, placement, and timing.In contrast, the latent heating fields generated in the predictive simulation contain a significant bias toward large values and are concentrated in bands(rather than discrete cells) stretched around the vortex.The Doppler radar-based latent heat retrievals presented in this series of papers should prove useful for convection initialization and data assimilation to reduce errors in numerical simulations of tropical cyclones.
机译：在本研究的第一部分中，提出了一种从机载多普勒雷达反演热带气旋中的潜热场的新算法，并展示了迅速增强的吉列尔莫飓风（1997）产生的场。在第二部分中，检索的有用性和相对准确性通过在2 km的分辨率下将热量插入现实的数值模拟中并通过将产生的风结构与Guillermo的雷达分析进行比较来进行评估。结果表明，使用潜热反演作为强迫会产生非常低的强度和结构误差（按切向计算）风速误差和解释的风方差），并且通过使用集合卡尔曼滤波程序估算关键模型参数的值，相对于对潜热取回进行了高度校准的预测运行，大大改善了模拟效果。热回收导致模拟，而吉列尔莫的强度具有很大的正偏差，这会激发需要通过类似于本研究第一部分中描述的过程来确定飓风内芯回波的饱和状态。加热回波通过迫使风场具有大致正确的幅度不对称性来完成高质量的结构统计，相比之下，在预测模拟中产生的潜热场包含对大数值的明显偏差，并且集中在围绕涡旋伸展的频带（而不是离散的单元）中。这一系列论文应被证明对对流初始化和数据同化有用，以减少热带气旋数值模拟中的误差。

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