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  • 标题:Can we predict seasonal changes in high impact weather in the United States?
  • 本地全文:下载
  • 作者:Eunsil Jung ; Ben P Kirtman
  • 期刊名称:Environmental Research Letters
  • 印刷版ISSN:1748-9326
  • 电子版ISSN:1748-9326
  • 出版年度:2016
  • 卷号:11
  • 期号:7
  • 页码:074018
  • DOI:10.1088/1748-9326/11/7/074018
  • 语种:English
  • 出版社:IOP Publishing Ltd
  • 摘要:Severe convective storms cause catastrophic losses each year in the United States, suggesting that any predictive capability is of great societal benefit. While it is known that El Niño and the Southern Oscillation (ENSO) influence high impact weather events, such as a tornado activity and severe storms, in the US during early spring, this study highlights that the influence of ENSO on US severe storm characteristics is weak during May–July. Instead, warm water in the Gulf of Mexico is a potential predictor for moist instability, which is an important factor in influencing the storm characteristics in the US during May–July.
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