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

  • Apr. 4, 2018: The accomplishments of Prof. Barnes and her research group are recognized in an article by CSU's Walter Scott J. College of Engineering
  • Feb. 20, 2018: NOAA OAR and CPO and CSU news releases on recent paper by former PhD student Bryan Mundhenk et al. showing that atmospheric rivers can be skillfully forecast with an empirical model up to 5 weeks in advance using knowledge of tropical variability (MJO and QBO); See also a recent interview with Bryan on Water Deeply
  • Jan. 19, 2018: NOAA CPO news release on recent paper by Kai-Chih Tseng et al. looking at using the MJO to support weather forecasts 3 weeks ahead of time
  • Jan. 10, 2018: Forecast podcast interview about Libby Barnes' life and science, with Nature's editor for climate science, Michael White
  • Jan. 4, 2018: US CLIVAR Highlights Article on Barnes and Simpson (2017) about the jet-stream response to Arctic temperature variability
  • May 31, 2017: NOAA Climate Program Office Feature on Barnes Group atmospheric river research

Current Research Projects

Empirically forecasting atmospheric rivers with the MJO & QBO.

Atmospheric river detection, tracking, and NWP forecasting.

Advancing extreme weather forecasts into subseasonal-to-seasonal (S2S) time scales

Uncertainty in future fire and dust emissions.

Causal discovery in geosciences.

Jet-stream sensitivity to warming.

Linking North American heat waves to storms in the tropics.

Future of very dangerous heat waves and human health.

Transport and mixing by Rossby wave breaking.

Extended predictions of MJO teleconnections in North America