What makes local weather data “actionable” for resolution makers? How can machine studying present a bridge between local weather simulators and the idealized fashions used to develop local weather coverage?
Find out at this free public lecture by Dr. Hannah Christensen (University of Oxford): “Accelerating actionable local weather data by machine studying.”
Tuesday, June 7, 6pm MDT, at Aspen Center for Environmental Studies (refreshments to observe), AND live-streamed on Zoom.
This lecture is being offered as a part of an upcoming Aspen Global Change Institute workshop on Exploring the Frontiers in Earth System Modeling with Machine Learning and Big Data.
For extra data on the lecture and to register for the live-stream, go to bit.ly/3yLd9Fi
https://soprissun.com/event/accelerating-actionable-climate-information-through-machine-learning/
