Understanding El Niño is an important part of weather forecasting since its impacts can be felt around the world. Researchers, including UA associate professor of hydrology and atmospheric sciences Christopher Castro, are working to improve the climate predication field to make predictions more intelligible, regionally precise and confident in their accuracy.
Understanding our complex and changing environment requires large amounts of innovative data and ways of analyzing it. The UA has a strong tradition of compiling unique data sets, including tree rings, satellite imagery and plant genetics, that are now stored, integrated and analyzed using new informatics techniques and computer models. This builds on UA expertise in remote sensing and monitoring of the Earth and other planets, and on the imperative to better predict the environmental challenges of the future.