本文提出一种月尺度西北太平洋热带气旋生成频数(Western North Pacific Tropical Cyclone Frequency,WNPTCF)预测的新方法。该方法利用全球次表层海温(Subsurface Sea Temperature Anomaly,SubSSTA)和中国气象局国家气候中心发布的130项监测指数,构建了既考虑热力强迫因子、又考虑大气动力因子,既考虑同期海洋强迫,又考虑前期海洋和大气影响的集成预测模型。利用该预测模型对2011—2020年6—10月逐月WNPTCF进行独立样本检验预测,准确率达70%以上,说明该预测模型对WNPTCF的逐月演变预测的效果良好。该预测模型对ENSO信号较强年份的WNPTCF预测效果要好于ENSO信号不强的年份,原因在于在ENSO信号不强的年份,SubSSTA可预报性较低,非线性变率大,海洋对WNPTC的强迫作用弱。
文章利用中国气象局发布的热带气旋(TC)最佳路径数据资料,以及NCEP/NCAR大气再分析数据,分析了盛季(7~9月份)、后季(10~11月份)西北太平洋(WNP)TC累积气旋能量(ACE)与ENSO事件相关性的年代际变化。发现WNP TC盛季ACE与ENSO的相关性在1980年发生了年代际的突变,二者相关性由不显著变为显著的正相关。TC后季ACE与ENSO的相关性在1990年前后发生了年代际的突变,相关性由不相关变为显著的正相关。盛季、后季二者相关性年代际转变发生的事件不同,影响机制也不同。盛季ACE与ENSO相关性发生转变的主要原因是连续型ENSO在1980年之前发生频次较高,减弱了ENSO对ACE的影响。后季ACE与ENSO相关性发生转变的原因主要是1990年之前,El Niño多为东太平洋型,在WNP激发的环流异常为偶极子型分布,不能影响ACE的总量,1990年之后,El Niño发生时异常对流的位置偏西,WNP大部分区域被气旋式异常环流控制,有利于TC的生成和加强,因此TC ACE与ENSO有较好的相关性。This paper utilizes the best track data of tropical cyclones from the China Meteorological Administration, along with NCEP/NCAR reanalysis atmospheric data, to analyze the decadal shift in the relationship between the Accumulated Cyclone Energy (ACE) of tropical cyclones (TC) in the Northwest Pacific (WNP) during the peak (July-September) and late (October-November) seasons and ENSO events. It was found that the correlation between WNP TC ACE during the peak season and ENSO underwent a decadal shift in 1980, changing from non-significant to a significant positive correlation. The correlation between late-season TC ACE and ENSO also experienced a decadal shift around 1990, changing from no correlation to a significant positive correlation. The decadal shifts in correlation during the peak and late seasons occurred at different times and were driven by different mechanisms. The shift in the correlation between peak season TC ACE and ENSO is primarily du
