Advancing Subseasonal Forecasting with Machine Learning
Hannah Guan, S. Mouatadid, Paulo Orenstein, Judah Cohen, Hai-Yu Dong, Zekun Ni, Jeremy D. Berman, Genevieve Flaspohler, Alex Lu, Jakob Schloer, J. Talib, J. Weyn, Lester Mackey
April 2026
Subseasonal Climate Forecasting
Publications
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Adaptive Bias Correction for Improved Subseasonal Forecasting
Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey
Nature Communications | June 2023
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SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
S. Mouatadid, P. Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, E. Fraenkel, Lester Mackey
Advances in Neural Information Processing Systems 36 | September 2021
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Online Learning with Optimism and Delay
Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
2021 International Conference on Machine Learning | July 2021
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Improving Subseasonal Forecasting in the Western U.S. with Machine Learning
Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey
Knowledge Discovery and Data Mining | July 2019
Sub-Seasonal Climate Forecast Rodeo challenge winner
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S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts
Judah Cohen, Dim Coumou, Jessica Hwang, Lester Mackey, Paulo Orenstein, Sonja Totz
WIREs Climate Change | December 2018
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Advancing Subseasonal Forecasting with Machine Learning
Hannah Guan, S. Mouatadid, Paulo Orenstein, Judah Cohen, Hai-Yu Dong, Zekun Ni, Jeremy D. Berman, Genevieve Flaspohler, Alex Lu, Jakob Schloer, J. Talib, J. Weyn, Lester Mackey
April 2026
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Adaptive Bias Correction for Improved Subseasonal Forecasting
Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey
Nature Communications | June 2023
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SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
S. Mouatadid, P. Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, E. Fraenkel, Lester Mackey
Advances in Neural Information Processing Systems 36 | September 2021
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Online Learning with Optimism and Delay
Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
2021 International Conference on Machine Learning | July 2021
-
S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts
Judah Cohen, Dim Coumou, Jessica Hwang, Lester Mackey, Paulo Orenstein, Sonja Totz
WIREs Climate Change | December 2018
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-
-
Advancing Subseasonal Forecasting with Machine Learning
Hannah Guan, S. Mouatadid, Paulo Orenstein, Judah Cohen, Hai-Yu Dong, Zekun Ni, Jeremy D. Berman, Genevieve Flaspohler, Alex Lu, Jakob Schloer, J. Talib, J. Weyn, Lester Mackey
April 2026
-
Adaptive Bias Correction for Improved Subseasonal Forecasting
Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey
Nature Communications | June 2023
-
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
S. Mouatadid, P. Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, E. Fraenkel, Lester Mackey
Advances in Neural Information Processing Systems 36 | September 2021
-
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning
Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey
Knowledge Discovery and Data Mining | July 2019
Sub-Seasonal Climate Forecast Rodeo challenge winner
-
-
-
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning
Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey
Knowledge Discovery and Data Mining | July 2019
Sub-Seasonal Climate Forecast Rodeo challenge winner
-
-
-
Advancing Subseasonal Forecasting with Machine Learning
Hannah Guan, S. Mouatadid, Paulo Orenstein, Judah Cohen, Hai-Yu Dong, Zekun Ni, Jeremy D. Berman, Genevieve Flaspohler, Alex Lu, Jakob Schloer, J. Talib, J. Weyn, Lester Mackey
April 2026
-
-
-
Adaptive Bias Correction for Improved Subseasonal Forecasting
Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey
Nature Communications | June 2023
-
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
S. Mouatadid, P. Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, E. Fraenkel, Lester Mackey
Advances in Neural Information Processing Systems 36 | September 2021
-
S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts
Judah Cohen, Dim Coumou, Jessica Hwang, Lester Mackey, Paulo Orenstein, Sonja Totz
WIREs Climate Change | December 2018
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-
-
Online Learning with Optimism and Delay
Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu, Paulo Orenstein, Lester Mackey
2021 International Conference on Machine Learning | July 2021
-
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning
Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey
Knowledge Discovery and Data Mining | July 2019
Sub-Seasonal Climate Forecast Rodeo challenge winner
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