热带气旋发展停滞的泥潭

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
C. Slocum, J. Knaff
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引用次数: 0

摘要

数值天气预测模型、统计-动力辅助工具和预报员对飓风帕梅拉(2021)48小时强度的预测是一个主要的预测失误,帕梅拉以小飓风而非大飓风的形式登陆。从卫星展示来看,帕梅拉在主观德沃夏克强度技术中表现出一种被称为中心冷覆盖(CCC)的对称模式。根据该技术,CCC模式伴随着强度的停滞发展,尽管有看似有利的对流特征。为了了解发生期间的预测不确定性,记录了2011-2021年的中心冷覆盖频率。根据这些情况,给出了CCC情况下地球静止卫星长波红外亮度温度的组合,并对周围热带气旋的大尺度环境进行了量化,并与类似纬度和强度的其他热带气旋进行了比较。这些复合物表明,中心冷覆盖具有一致的表现,但在风暴最终增强或减弱的前几个小时有所不同。热带气旋周围的天气尺度环境在热力学上支持了CCC产生的强烈深层对流。最后,将数值天气预测模型和统计动力辅助工具的强度预测误差与类似热带气旋进行了比较。这项工作表明,在CCC情况下,这些模型的强度误差处于最低的性能百分位数,特别是对于24小时和36小时的预测,指导很困难。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The quagmire of arrested development in tropical cyclones
Forty-eight hour intensity forecasts for Hurricane Pamela (2021) from numerical weather prediction models, statistical–dynamical aids, and forecasters were a major forecast bust with Pamela making landfall as a minor rather than major hurricane. From the satellite presentation, Pamela exhibited a symmetric pattern referred to as central cold cover (CCC) in the subjective Dvorak intensity technique. Per the technique, the CCC pattern is accompanied by arrested development in intensity despite the seemingly favorable convective signature. To understand forecast uncertainty during occurrences, central cold cover frequency from 2011–2021 is documented. From these cases, composites of longwave infrared brightness temperatures from geostationary satellites for CCC cases are presented and the surrounding tropical cyclone large-scale environment is quantified and compared with other tropical cyclones at similar latitudes and intensities. These composites show that central cold cover has a consistent presentation, but varies in the preceding hours for storms that eventually intensify or weaken. And, the synoptic-scale environment surrounding the tropical cyclone thermodynamically supports the vigorous deep convection associated with CCC. Finally, intensity forecast errors from numerical weather prediction models and statistical–dynamical aids are examined in comparison to similar tropical cyclones. This work shows that guidance struggles during CCC cases with intensity errors from these models being in the lowest percentiles of performance, particularly for 24- and 36-h forecasts.
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来源期刊
Weather and Forecasting
Weather and Forecasting 地学-气象与大气科学
CiteScore
5.20
自引率
17.20%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Weather and Forecasting (WAF) (ISSN: 0882-8156; eISSN: 1520-0434) publishes research that is relevant to operational forecasting. This includes papers on significant weather events, forecasting techniques, forecast verification, model parameterizations, data assimilation, model ensembles, statistical postprocessing techniques, the transfer of research results to the forecasting community, and the societal use and value of forecasts. The scope of WAF includes research relevant to forecast lead times ranging from short-term “nowcasts” through seasonal time scales out to approximately two years.
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