globalchange  > 影响、适应和脆弱性
DOI: 10.1088/1748-9326/11/7/074018
论文题名:
Can we predict seasonal changes in high impact weather in the United States?
作者: Eunsil Jung; Ben P Kirtman
刊名: Environmental Research Letters
ISSN: 1748-9326
出版年: 2016
发表日期: 2016-07-14
卷: 11, 期:7
语种: 英语
英文摘要:

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.

URL: http://iopscience.iop.org/article/10.1088/1748-9326/11/7/074018
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/13848
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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Recommended Citation:
Eunsil Jung,Ben P Kirtman. Can we predict seasonal changes in high impact weather in the United States?[J]. Environmental Research Letters,2016-01-01,11(7)
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