The group's primary research objective is to understand the variability of the atmosphere to better interpret and predict changes within a range of climates. To reach this end, we use multiple data types: observations, reanalyses, 2-D models, idealized general circulation models (GCMs) and state-of-the-art climate models. Please see below for details on our ongoing research.
In the News
- February 12, 2018: Ben Toms is awarded outstanding oral presentation awards at the 18th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences and the 32nd Conference on Climate Variability and Change.
- December 26, 2018: New Study Predicts Tornadoes and Hail During 'Forecast Gap' by NPR featuring Cory Baggett's work.
- Nov. 28, 2018: Researchers rise to challenge of predicting hail, tornadoes three weeks in advance features the work by Cory Baggett and Kyle Nardi on forecasting tornado and hail activity several weeks in advance using the MJO.
- Oct. 17, 2018: Kai-Chih Tseng is awarded the Shrake-Culler Scholarship.
- Sep. 17, 2018: CW3E news post on how many ARs hit Northern California with contributions from Kyle Nardi and Prof. Barnes.
- Sep. 7, 2018: AGCI video + art of What happens in the Arctic doesn't stay in the Arctic using the "Can it? Has it? Will it?" framework of Barnes and Screen (2015)
- Sep. 7, 2018: Rivers in the sky: Improving predictions of atmospheric rivers to reduce risk by EARTH magazine features the work of Bryan Mundhenk and Cory Baggett on the predictability that the MJO and QBO offer with respect to atmospheric rivers.
- Aug. 24, 2018: CW3E news post on published paper by Kyle Nardi on NWP forecasts of atmospheric rivers.
archived "in the news"