DOI: 10.1029/2017JD027377
Scopus记录号: 2-s2.0-85047466974
论文题名: Process-Based Model Evaluation Using Surface Energy Budget Observations in Central Greenland
作者: Miller N.B. ; Shupe M.D. ; Lenaerts J.T.M. ; Kay J.E. ; de Boer G. ; Bennartz R.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 10 起始页码: 4777
结束页码: 4796
语种: 英语
英文关键词: Greenland
; model evaluation
; surface energy budget
英文摘要: Energy exchange at the Greenland ice sheet surface governs surface temperature variability, a factor critical for representing surface melt. Physical processes link driving forces to subsequent surface energy budget responses, including radiative, turbulent, and ground heat fluxes, and ultimately control surface temperature evolution. A reanalysis product (ERA-Interim, ERA-I), operational model (Climate Forecast System version 2, CFSv2), and climate model (Community Earth System Model, CESM) are evaluated using a comprehensive set of surface energy budget observations and process-based relationships obtained at Summit, Greenland. Simulated downwelling longwave radiation is underestimated, which is linked to a deficiency of liquid-bearing clouds. Lower than observed surface albedo, especially in ERA-I, compensates for summer deficiencies in downwelling longwave radiation. In winter, such deficiencies are compensated by an overestimation of the sensible heat flux. Process-based relationships convey that all three models underestimate the response of surface temperature to changes in radiative forcing, primarily due to an overactive ground heat flux response in ERA-I, turbulent heat fluxes in CFSv2, and sensible heat flux in CESM. Cross comparison of three distinct models indicates that the ground heat flux response for ERA-I, CFSv2, and CESM is too high, too low, and comparatively accurate, respectively, signifying the benefit of using an advanced representation of snow properties. Relatively small biases in CESM surface albedo suggest that advances in the representation of cloud microphysics result in more realistic radiative forcing. These results provide insight into model strengths and deficiencies, indicating the importance of representing physical processes when portraying cloud impacts on surface temperature variability. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113847
Appears in Collections: 气候减缓与适应
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作者单位: Cooperative Institute for Research in Environmental Science, University of Colorado Boulder, Boulder, CO, United States; NOAA Earth System Research Laboratory, Boulder, CO, United States; Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO, United States; Department of Earth and Environment Sciences, Vanderbilt University, Nashville, TN, United States; Space Science and Engineering Center, UW-Madison, Madison, WI, United States
Recommended Citation:
Miller N.B.,Shupe M.D.,Lenaerts J.T.M.,et al. Process-Based Model Evaluation Using Surface Energy Budget Observations in Central Greenland[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(10)