DOI: 10.1002/2014MS000329
Scopus记录号: 2-s2.0-84937202641
论文题名: A spectral transform dynamical core option within the Community Atmosphere Model (CAM4)
作者: Evans K ; J ; , Mahajan S ; , Branstetter M ; , McClean J ; L ; , Caron J ; , Maltrud M ; E ; , Hack J ; J ; , Bader D ; C ; , Neale R ; , Leifeld J ; K
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2015
卷: 6, 期: 3 起始页码: 902
结束页码: 922
语种: 英语
英文关键词: Climate models
; Computational efficiency
; Oceanography
; Precipitation (meteorology)
; Sea ice
; Sea level
; Surface properties
; Surface waters
; Community atmosphere model
; Indian subcontinents
; Land surface temperature
; Sea surface temperature (SST)
; Spectral transform
; Summer precipitation
; Surface temperatures
; Temperature extremes
; Atmospheric temperature
; atmospheric modeling
; climate modeling
; ensemble forecasting
; finite volume method
; ice core
; land surface
; longwave radiation
; precipitation (climatology)
; sea ice
; sea level pressure
; sea surface temperature
; spectral resolution
; Arctic Ocean
; India
英文摘要: An ensemble of simulations covering the present day observational period using forced sea surface temperatures and prescribed sea-ice extent is configured with an 85 truncation resolution spectral transform dynamical core (T85) within the Community Atmosphere Model (CAM), version 4 and is evaluated relative to observed and model derived data sets and the one degree finite volume (FV) dynamical core. The spectral option provides a well-known base within the climate model community to assess climate behavior and statistics, and its relative computational efficiency for smaller computing platforms allows it to be extended to perform high-resolution climate length simulations. Overall, the quality of the T85 ensemble is similar to FV. Analyzing specific features of the T85 simulations show notable improvements to the representation of wintertime Arctic sea level pressure and summer precipitation over the Western Indian subcontinent. The mean and spatial patterns of the land surface temperature trends over the AMIP period are generally well simulated with the T85 ensemble relative to observations, however the model is not able to capture the extent nor magnitude of changes in temperature extremes over the boreal summer, where the changes are most dramatic. Biases in the wintertime Arctic surface temperature and annual mean surface stress fields persist with T85 as with the CAM3 version of T85, as compared to FV. An experiment to identify the source of differences between dycores has revealed that the longwave cloud forcing is sensitive to the choice of dycore, which has implications for tuning strategies of the physics parameter settings. Key Points Longwave cloud forcing in T85 CAM4 is sensitive to the choice of dynamical core Improved precipitation over India does not translate to improved surface stress The increase in temperature extremes during NH summer is underestimated © 2014. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76026
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: Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States; Scripps Institution of Oceanography, San Diego, California, United States; National Center for Atmospheric Research, Boulder, Colorado, United States; Los Alamos National Laboratory, Los Alamos, New Mexico, United States; Lawrence Livermore National Laboratory, Livermore, California, United States; School of Mathematics, University of Minnesota, Minneapolis, Minnesota, United States
Recommended Citation:
Evans K,J,, Mahajan S,et al. A spectral transform dynamical core option within the Community Atmosphere Model (CAM4)[J]. Journal of Advances in Modeling Earth Systems,2015-01-01,6(3)