Opinion: Why all emergent constraints are wrong but some are useful – a machine learning perspective
<p>Global climate change projections are subject to substantial modelling uncertainties. A variety of emergent constraints, as well as several other statistical model evaluation approaches, have been suggested to address these uncertainties. However, they remain heavily debated in the climate scienc...
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| Автори: | , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Copernicus Publications
2025-02-01
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| Серія: | Atmospheric Chemistry and Physics |
| Онлайн доступ: | https://acp.copernicus.org/articles/25/2365/2025/acp-25-2365-2025.pdf |
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