Can we predict seasonal changes in high impact weather in the United States?

23Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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 Nino 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.

Cite

CITATION STYLE

APA

Jung, E., & Kirtman, B. P. (2016). Can we predict seasonal changes in high impact weather in the United States? Environmental Research Letters, 11(7). https://doi.org/10.1088/1748-9326/11/7/074018

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free