首页> 外文期刊>Risk analysis >Hurricane Destructive Power Predictions Based on Historical Storm and Sea Surface Temperature Data
【24h】

Hurricane Destructive Power Predictions Based on Historical Storm and Sea Surface Temperature Data

机译:基于历史风暴和海面温度数据的飓风破坏力预测

获取原文
获取原文并翻译 | 示例
       

摘要

Forecasting destructive hurricane potential is complicated by substantial, unexplained intraan-nual variation in storm-specific power dissipation index (PDI, or integrated third power of wind speed), and interannual variation in annual accumulated PDI (APDI). A growing controversy concerns the recent hypothesis that the clearly positive trend in North Atlantic Ocean (NAO) sea surface temperature (SST) since 1970 explains increased hurricane intensities over this period, and so implies ominous PDI and APDI growth as global warming continues. To test this "SST hypothesis" and examine its quantitative implications, a combination of statistical and probabilistic methods were applied to National Hurricane Center HURDAT best-track data on NAO hurricanes during 1880-2002, and corresponding National Oceanographic and Atmospheric Administration Extended Reconstruction SST estimates. Notably, hurricane behavior was compared to corresponding hurricane-specific (i.e., spatiotemporally linked) SST; previous similar comparisons considered only SST averaged over large NAO regions. Contrary to the SST hypothesis, SST was found to vary in a monthly pattern inconsistent with that of corresponding PDI, and to be at best weakly associated with PDI or APDI despite strong correlation with corresponding mean latitude (R~2 = 0.55) or with combined mean location and a ~90-year periodic trend (R~2 = 0.70). Over the last century, the lower 75% of APDIs appear randomly sampled from a nearly uniform distribution, and the upper 25% of APDIs from a nearly lognormal distribution. From the latter distribution, a baseline (SST-independent) stochastic model was derived predicting that over the next half century, APDI will not likely exceed its maximum value over the last half century by more than a factor of 1.5. This factor increased to 2 using a baseline model modified to assume SST-dependence conditioned on an upper bound of the increasing NAO SST trend observed since 1970. An additional model was developed that predicts PDI statistics conditional on APDI. These PDI and APDI models can be used to estimate upper bounds on indices of hurricane power likely to be realized over the next century, under divergent assumptions regarding SST influence.
机译:预测破坏性飓风的潜力非常复杂,原因是风暴特定功率耗散指数(PDI或风速的三次幂)的大幅度,无法解释的年内变化以及年度累计PDI(APDI)的年际变化。越来越多的争议涉及最近的假设,即自1970年以来北大西洋(NAO)海表温度(SST)明显呈上升趋势,解释了此期间的飓风强度增加,因此,随着全球变暖的继续,PDI和APDI的增长不祥。为了检验此“ SST假设”并检验其定量含义,将统计和概率方法相结合的方法应用于1880-2002年国家飓风中心HURDAT关于NAO飓风的最佳跟踪数据,以及相应的国家海洋和大气管理局扩展重建SST估计值。值得注意的是,将飓风行为与相应的飓风特定(即时空相关)SST进行了比较;以前的类似比较认为,只有大型NAO地区的SST平均。与SST假设相反,发现SST的每月变化与相应的PDI不一致,并且尽管与相应的平均纬度(R〜2 = 0.55)或与组合的平均纬度有很强的相关性,但与PDI或APDI的关联性最好弱。平均位置和〜90年周期趋势(R〜2 = 0.70)。在上个世纪,从几乎均匀的分布中随机抽取了75%的APDI,从接近对数正态分布中随机抽取了25%的APDI。从后者的分布中,得出了一个基线(与SST无关)的随机模型,该模型预测在下个半个世纪中,APDI在上个半个世纪中不可能超过其最大值1.5倍以上。使用自1970年以来观察到的NAO SST趋势增加的上限修改为假设SST依赖性的基线模型,该因子增加到2。开发了另一个模型,该模型可预测以APDI为条件的PDI统计数据。在关于SST影响的不同假设下,这些PDI和APDI模型可用于估计下一个世纪可能实现的飓风功率指标的上限。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号