GraphCast and FourCastNetV2 show skill for sub-seasonal prediction comparable to physics-based models like ACCESS-S2 over 38-year and 2.5-year hindcast periods.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.ao-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Evaluation of medium range machine learning models for sub-seasonal prediction
GraphCast and FourCastNetV2 show skill for sub-seasonal prediction comparable to physics-based models like ACCESS-S2 over 38-year and 2.5-year hindcast periods.