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首页> 外文期刊>Asia-Pacific journal of atmospheric sciences >Seven-Day Intensity and Intensity Spread Predictions in Bifurcation Situations with Guidance-On-Guidance for Western North Pacific Tropical Cyclones
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Seven-Day Intensity and Intensity Spread Predictions in Bifurcation Situations with Guidance-On-Guidance for Western North Pacific Tropical Cyclones

机译:北太平洋西部热带气旋的指导下分叉情况下的七日强度和强度分布预测

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摘要

An objective technique to detect and predict intensity bifurcation situations in a five-day Weighted Analog Intensity forecast technique for the western North Pacific (WAIP) has been extended to seven days. A hierarchical cluster analysis is applied to the N analog intensities to separate them into two clusters, which are considered to represent a substantial intensity bifurcation if a threshold maximum velocity difference of 15 kt is satisfied. Two important modifications have been made to develop the bifurcation version for seven-day WAIP forecasts. First, the number of track analogs has been increased from 10 analogs to 16 analogs, which results in larger sample sizes and better performance. Second, separate intensity bias corrections are calculated for the two cluster WAIP forecasts rather than using the same 16-analog intensity bias correction. If an always perfect selection of the correct cluster WAIP forecast of each bifurcation situation is made, a substantial improvement in the intensity mean absolute errors is achieved relative to the original WAIP forecasts based on all 16 of the best analogs. These perfect-cluster selection WAIP forecasts have smaller bias errors and are more highly correlated with the verifying intensities at all forecast intervals through 168h. Furthermore, the Probability of Detection is improved for the perfect-cluster selection and more realistic intensity spreads are specified. A simple guidance-on-guidance technique is demonstrated to assist the forecasters in selecting the correct WAIP cluster forecast in bifurcation situations.
机译:在北太平洋西部(WAIP)的五天加权模拟强度预测技术中,检测和预测强度分叉情况的客观技术已延长至7天。将分级聚类分析应用于N个模拟强度,以将它们分成两个聚类,如果满足阈值最大速度差15 kt,则认为这两个聚类代表了明显的强度分叉。为开发7天WAIP预测的分叉版本,已经进行了两项重要的修改。首先,轨道模拟的数量已从10个增加到16个,这导致更大的样本量和更好的性能。其次,为两个群集WAIP预测计算单独的强度偏差校正,而不是使用相同的16模拟强度偏差校正。如果始终针对每个分叉情况正确选择正确的集群WAIP预测,则相对于基于所有16种最佳类似物的原始WAIP预测,强度平均绝对误差将得到显着改善。这些完美的集群选择WAIP预测具有较小的偏差误差,并且与直到168h的所有预测时间间隔内的验证强度都高度相关。此外,提高了检测概率,以进行完美的群集选择,并指定了更逼真的强度分布。演示了一种简单的引导指导技术,以帮助预报员在分叉情况下选择正确的WAIP集群预报。

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