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Feedback attribution of the land-sea warming contrast in a global warming simulation of the NCAR CCSM4

Dados Bibliográficos

ID15545249
AutoresSergio A Sejas (0000-0003-4139-3499, Florida State University, autor correspondente), Oriene S Albert (Florida State University), Ming Cai (0000-0002-1614-1102, Florida State University), Yi Deng (0000-0002-1765-5244, Georgia Institute of Technology)
Ano2014
Volume9
Fascículo12
Páginas124005-124005
Data de publicação2014-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnvironmental Research Letters (JOURNAL)
Identificadores do periódicoISSN: 1748-9326 • E-ISSN: 1748-9326
EditoraIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/9/12/124005
OpenAlexW2124409347
IdiomaEN
Citações recebidas2
Referências citadas16

One of the salient features in both observations and climate simulations is a stronger land warming than sea. This paper provides a quantitative understanding of the main processes that contribute to the land-sea warming asymmetry in a global warming simulation of the NCAR CCSM4. The CO 2 forcing alone warms the surface nearly the same for both land and sea, suggesting that feedbacks are responsible for the warming contrast. Our analysis on one hand confirms that the principal contributor to the above-unity land-to-sea warming ratio is the evaporation feedback; on the other hand the results indicate that the sensible heat flux feedback has the largest land-sea warming difference that favors a greater ocean than land warming. Furthermore, the results uniquely highlight the importance of other feedbacks in establishing the above-unity land-to-sea warming ratio. Particularly, the SW cloud feedback and the ocean heat storage in the transient response are key contributors to the greater warming over land than sea

Atmospheric sciences · Climate change · Climatology · Effects of global warming on oceans · Forcing (mathematics · Global warming · Greenhouse gas · Sensible heat · Atmospheric and Environmental Gas Dynamics · Climate variability and models · Environmental Science · Meteorological Phenomena and Simulations · Geology · Oceanography

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Obras citantes distintas2
Citações por ano0,22
Intervalo de citações2017 - 2018 (2)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 2
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