Improving Satellite Observation Utilization for Model Initialization with Machine Learning: An Introduction and Tackling the “Labeled Dataset” Challenge for Cyclones Around the World

Jebb Stewart, NOAA Global Systems Laboratory, Boulder, United States, Christina Kumler, NOAA Global Systems Laboratory and Cooperative Institute for Research in Environmental Sciences, Boulder, United States, Yu-Ju Lee, NOAA Earth System Research Laboratory and Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States, Mark Govett, NOAA, Global Systems Laboratory, Boulder, CO, United States, Lidia Trailovic, Mexico Df, Mexico and Brian Etherton, NOAA Earth System Research Laboratory, Boulder, CO, United States
Back to: Applications of Machine Learning, Deep Learning, and Novel Statistical Approaches to the Study of Weather and Climate Using Large Data Sets II Posters