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Found 2 papers, 1 papers with code
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration
The SSF dataset constructed for the work, dynamical model predictions, and code for the ML models are released along with the paper for the benefit of the broader machine learning community.
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances
Sub-seasonal climate forecasting (SSF) focuses on predicting key climate variables such as temperature and precipitation in the 2-week to 2-month time scales.
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