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20192022
most citedSub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances

9 citations · 15 across the 3 of their papers we have counts for

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cs.LG2020★ 9 cited

Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances

Sijie He, Xinyan Li, Timothy DelSole +2

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. Skillful SSF would ha…