globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2016MS000630
Scopus记录号: 2-s2.0-84983523275
论文题名:
Select strengths and biases of models in representing the Arctic winter boundary layer over sea ice: the Larcform 1 single column model intercomparison
作者: Pithan F; , Ackerman A; , Angevine W; M; , Hartung K; , Ickes L; , Kelley M; , Medeiros B; , Sandu I; , Steeneveld G; -J; , Sterk H; A; M; , Svensson G; , Vaillancourt P; A; , Zadra A
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2016
卷: 8, 期:3
起始页码: 1345
结束页码: 1357
语种: 英语
英文关键词: Atmospheric temperature ; Boundary layers ; Climate models ; Climatology ; Lagrange multipliers ; Models ; Sea ice ; Arctic ; Intercomparisons ; Inversion ; Mixed phase microphysics ; Mixed-phase cloud ; Surface-based inversion ; Tropospheric temperature ; Weather and climate models ; Atmospheric boundary layer ; air mass ; atmospheric moisture ; boundary layer ; climate modeling ; cloud cover ; cloud radiative forcing ; comparative study ; cooling ; error analysis ; inverse analysis ; liquid limit ; sea ice ; temperature profile ; winter ; Arctic
英文摘要: Weather and climate models struggle to represent lower tropospheric temperature and moisture profiles and surface fluxes in Arctic winter, partly because they lack or misrepresent physical processes that are specific to high latitudes. Observations have revealed two preferred states of the Arctic winter boundary layer. In the cloudy state, cloud liquid water limits surface radiative cooling, and temperature inversions are weak and elevated. In the radiatively clear state, strong surface radiative cooling leads to the build-up of surface-based temperature inversions. Many large-scale models lack the cloudy state, and some substantially underestimate inversion strength in the clear state. Here, the transformation from a moist to a cold dry air mass is modeled using an idealized Lagrangian perspective. The trajectory includes both boundary layer states, and the single-column experiment is the first Lagrangian Arctic air formation experiment (Larcform 1) organized within GEWEX GASS (Global atmospheric system studies). The intercomparison reproduces the typical biases of large-scale models: some models lack the cloudy state of the boundary layer due to the representation of mixed-phase microphysics or to the interaction between micro- and macrophysics. In some models, high emissivities of ice clouds or the lack of an insulating snow layer prevent the build-up of surface-based inversions in the radiatively clear state. Models substantially disagree on the amount of cloud liquid water in the cloudy state and on turbulent heat fluxes under clear skies. Observations of air mass transformations including both boundary layer states would allow for a tighter constraint of model behavior. © 2016. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75865
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Department of Meteorology, University of Reading, Reading, United Kingdom; NASA Goddard Institute for Space Studies, New York, NY, United States; CIRES, University of Colorado, and NOAA Earth System Research Laboratory, Boulder, CO, United States; Department of Meteorology, Stockholm University, Stockholm, Sweden; Institute for Atmosphere and Climate, ETHZ, Zurich, Switzerland; NCAR, Boulder, CO, United States; ECMWF, Reading, United Kingdom; Meteorology and Air Quality Section, Wageningen University, Wageningen, Netherlands; Recherche en Prévision Numérique Atmosphérique, Environment Canada, Dorval, QC, Canada

Recommended Citation:
Pithan F,, Ackerman A,, Angevine W,et al. Select strengths and biases of models in representing the Arctic winter boundary layer over sea ice: the Larcform 1 single column model intercomparison[J]. Journal of Advances in Modeling Earth Systems,2016-01-01,8(3)
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