Tropical cyclone tracking using a neighbor enclosed area tracking algorithm.
Tropical cyclone tracking using a neighbor enclosed area tracking algorithm.
复制标题
使用邻近封闭区域跟踪算法的热带气旋跟踪。
DOI：
10.1175/mwr-d-12-00092.1
复制
发表时间：
2013
影响因子：
3.2
通讯作者：
and A. Hasegawa
中科院分区：
文献类型：
--
作者：
Satake;Y.;M. Inatsu;M. Mori;and A. Hasegawa
热带气旋 (TC) 跟踪对于从网格数据集中计算 TC 统计数据至关重要。这里提出了一种使用相邻封闭区域跟踪（NEAT）的TC跟踪新方法，该方法基于涡度阈值之上的封闭区域的时间重叠，并且不同于广泛使用的相邻点跟踪（NPT）方法。旋风强度、垂直剪切和热芯标准的参数针对 NEAT 和 NPT 进行了集中调整。当基于日本 25 年再分析项目 (JRA-25)/日本气象厅 (JMA) 气候资料同化系统 (JCDAS) 数据集对北太平洋西部观测到的台风路径优化这些标准时，NEAT 和 NPT 算法捕获了大约 85% 的台风，且 TC 路径密度的空间分布和时间变化几乎没有定性失真。通过将 NEAT 和 NPT 应用于高分辨率大气环流模型输出来测试算法的网格系统依赖性。这里提出的方法还可以提供有关 TC 大小、温带转变时间和经向热传输的真实统计数据。
Tropical cyclone (TC) tracking is essential for calculating TC statistics from gridded datasets. A new method for TC tracking is presented here using neighbor enclosed area tracking (NEAT), which is based on the temporal overlap of enclosed areas above a vorticity threshold and differs from the widely used neighbor point tracking (NPT) method. The parameters of cyclone intensity, vertical-shear, and warm-core criteria were intensively tuned for NEAT and NPT. When these criteria were optimized for the typhoon tracks observed in the western North Pacific based on the Japanese 25-yr Reanalysis Project (JRA-25)/Japan Meteorological Agency (JMA) Climate Data Assimilation System (JCDAS) dataset, the NEAT and NPT algorithms captured approximately 85% of typhoons with little qualitative distortion in the spatial distribution and temporal variability of the TC track density. The grid system dependency of the algorithms was tested by applying NEAT and NPT to a high-resolution general circulation model output. The method presented here can also provide realistic statistics on the TC size, the extratropical transition timing, and the meridional heat transport.