Applying Machine Learning to Improve Subseasonal to Seasonal (S2S) Forecasts

Judah Levi Cohen1, Lester Mackey2, Paulo Orenstein3, Jessica Hwang3, Karl Pfeiffer4 and Sonja Totz5, (1)Atmospheric and Environmental Research Lexington, Lexington, MA, United States, (2)Microsoft Corporation, Research, Cambridge, MA, United States, (3)Stanford University, Statistics, Stanford, CA, United States, (4)Atmospheric and Environmental Research, Lexington, United States, (5)Potsdam Institute for Climate Impact Research, Potsdam, Germany