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An observation-based scaling model for climate sensitivity estimates and global projections to 2100
We directly exploit the stochasticity of the internal variability, and the linearity of the forced response to make global temperature projections based on historical data and a Green’s function, or Climate Response Function (CRF). To make the problem tractable, we take advantage of the temporal sca...
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| Publié dans: | Clim Dyn |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer Berlin Heidelberg
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7870646/ https://ncbi.nlm.nih.gov/pubmed/33603281 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00382-020-05521-x |
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