The EaSM program strives to achieve reliable global and regional predictions of decadal climate variability and change through an understanding of the coupled physical, chemical, biological and human processes that drive the climate system.
The grant provides $398,570 to Kondrashov’s UCLA research team, which includes professor Michael Ghil and assistant researcher Mickael Chekroun, and $260,681 to professor Sergey Kravtsov at University of Wisconsin-Milwaukee. Their research will concentrate on developing and testing “novel time series analysis and data-driven statistical methods for probabilistic decadal climate prediction, with a special focus on prominent modes of natural climate variability, using these decadal predictions to gain insight into the dynamical causes of climate change and climate variability at decadal and longer time scales,” Kondrashov said.