Author: Sang-Ki Lee

An Experimental Outlook Model Shows a Useful Skill for Predicting Seasonal US Tornado Activity

A new paper published in Monthly Weather Review shows some promise for predicting subseasonal to seasonal tornado activity based on how key atmospheric parameters over the US respond to various climate signals, including El Niño and La Niña activity in the Pacific. In this study, a team of researchers from NOAA’s Atlantic Oceanographic and Meteorological Laboratory, Geophysical Fluid Dynamics Laboratory, and Climate Prediction Center presented an experimental seasonal tornado outlook model, named SPOTter (Seasonal Probabilistic Outlook for Tornadoes), and evaluated its prediction skill.

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Connection between Madden-Julian Oscillation and U.S Tornadoes may Provide Earlier Warning for Storms

Recently, scientists at NOAA’s Atlantic Oceanographic and Meteorological Laboratory (AOML) and the Cooperative Institute for Marine and Atmospheric Studies (CIMAS) explored the physical causes between U.S. tornado activity and the Madden-Julian Oscillation. In a study recently published in the Journal of Climate (Kim et al., 2020), they showed that a series of key atmosphere-ocean processes are involved in the remote impact of Madden-Julian Oscillation on U.S. tornado activity.

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