DOI: 10.1007/s00382-013-2029-9
Scopus记录号: 2-s2.0-84890963157
论文题名: A dissection of the surface temperature biases in the Community Earth System Model
作者: Park T.-W. ; Deng Y. ; Cai M. ; Jeong J.-H. ; Zhou R.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2013
卷: 43, 期: 2017-07-08 起始页码: 2043
结束页码: 2059
语种: 英语
英文关键词: CESM1 surface temperature bias
; Climate feedback-responses analysis method
; Radiative and nonradiativeprocesses
; Temperature decomposition
英文摘要: Based upon the climate feedback-responses analysis method, a quantitative attribution analysis is conducted for the annual-mean surface temperature biases in the Community Earth System Model version 1 (CESM1). Surface temperature biases are decomposed into partial temperature biases associated with model biases in albedo, water vapor, cloud, sensible/latent heat flux, surface dynamics, and atmospheric dynamics. A globally-averaged cold bias of −1.22 K in CESM1 is largely attributable to albedo bias that accounts for approximately −0.80 K. Over land, albedo bias contributes −1.20 K to the averaged cold bias of −1.45 K. The cold bias over ocean, on the other hand, results from multiple factors including albedo, cloud, oceanic dynamics, and atmospheric dynamics. Bias in the model representation of oceanic dynamics is the primary cause of cold (warm) biases in the Northern (Southern) Hemisphere oceans while surface latent heat flux over oceans always acts to compensate for the overall temperature biases. Albedo bias resulted from the model’s simulation of snow cover and sea ice is the main contributor to temperature biases over high-latitude lands and the Arctic and Antarctic region. Longwave effect of water vapor is responsible for an overall warm (cold) bias in the subtropics (tropics) due to an overestimate (underestimate) of specific humidity in the region. Cloud forcing of temperature biases exhibits large regional variations and the model bias in the simulated ocean mixed layer depth is a key contributor to the partial sea surface temperature biases associated with oceanic dynamics. On a global scale, biases in the model representation of radiative processes account more for surface temperature biases compared to non-radiative, dynamical processes. © 2013, Springer-Verlag Berlin Heidelberg. 资助项目: NSF, National Science Foundation
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54978
Appears in Collections: 过去全球变化的重建
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作者单位: School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, United States; Department of Earth, Ocean, and Atmospheric Science, Florida State University, Tallahassee, FL, United States; Chonnam National University, Gwangju, South Korea; School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
Recommended Citation:
Park T.-W.,Deng Y.,Cai M.,et al. A dissection of the surface temperature biases in the Community Earth System Model[J]. Climate Dynamics,2013-01-01,43(2017-07-08)