Applying Machine Learning to Improve Simulations of a Chaotic Dynamical System Using Empirical Error Correction
Abstract Dynamical weather and climate prediction models underpin many studies of the Earth system and hold the promise of being able to make robust projections of future climate change based on physical laws. However, simulations from these models still show many differences compared with observati...
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Geophysical Union (AGU)
2019-05-01
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| Schriftenreihe: | Journal of Advances in Modeling Earth Systems |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1029/2018MS001597 |
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