Adaptive bias correction for improved subseasonal forecasting S Mouatadid, P Orenstein, G Flaspohler, J Cohen, M Oprescu, E Fraenkel, ... Nature Communications 14 (1), 3482, 2023 | 9 | 2023 |
Learned benchmarks for subseasonal forecasting S Mouatadid, P Orenstein, G Flaspohler, M Oprescu, J Cohen, F Wang, ... arXiv preprint arXiv:2109.10399, 2021 | 7 | 2021 |
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking S Mouatadid, P Orenstein, G Flaspohler, M Oprescu, J Cohen, F Wang, ... Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
An Operator-Based Emulator for Climate Extremes MG Geogdzhayeva, A Souza, RM Ferrari AGU23, 2023 | | 2023 |
Extreme Event Projection for a Changing Chaotic Attractor M Geogdzhayeva, A Souza, RM Ferrari AGU Fall Meeting Abstracts 2022, NG36A-05, 2022 | | 2022 |
Investigating seasonal ENSO forecast amplitude calibration for GEOS-S2S-2 M Geogdzhayeva, A Borovikov The 2022 Ocean Sciences Meeting, 2022 | | 2022 |
Using Machine Learning to Predict Tornadoes Based on Sounding and Reanalysis Data M Geogdzhayeva, I Repina AGU Fall Meeting Abstracts 2019, A31O-2785, 2019 | | 2019 |