Internal variability and forcing influence model–satellite differences in the rate of tropical tropospheric warming

Climate-model simulations exhibit approximately two times more tropical tropospheric warming than satellite observations since 1979. The causes of this difference are not fully understood and are poorly quantified. Here, we apply machine learning to relate the patterns of surface-temperature change...

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Detalles Bibliográficos
Autores principales: Po-Chedley, Stephen, Fasullo, John T., Siler, Nicholas, Labe, Zachary M., Barnes, Elizabeth A., Bonfils, Céline J. W., Santer, Benjamin D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Physical Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704694/
https://www.ncbi.nlm.nih.gov/pubmed/36399545
http://dx.doi.org/10.1073/pnas.2209431119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9704694/
https://www.ncbi.nlm.nih.gov/pubmed/36399545
http://dx.doi.org/10.1073/pnas.2209431119

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