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

Eunsil Jung, Benjamin Kirtman

Research output: Contribution to journalArticle

10 Citations (Scopus)

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.

Original languageEnglish (US)
Article number074018
JournalEnvironmental Research Letters
Volume11
Issue number7
DOIs
StatePublished - Jul 14 2016

Fingerprint

El Nino-Southern Oscillation
Weather
Tornadoes
Gulf of Mexico
weather
Southern Oscillation
El Nino
Water
tornado
warm water

Keywords

  • CAPE
  • ENSO
  • extreme weather
  • Gulf of Mexico SST
  • high impact weather
  • severe storm

ASJC Scopus subject areas

  • Environmental Science(all)
  • Renewable Energy, Sustainability and the Environment
  • Public Health, Environmental and Occupational Health

Cite this

Can we predict seasonal changes in high impact weather in the United States? / Jung, Eunsil; Kirtman, Benjamin.

In: Environmental Research Letters, Vol. 11, No. 7, 074018, 14.07.2016.

Research output: Contribution to journalArticle

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