DOI: 10.1175/JCLI-D-11-00395.1
Scopus记录号: 2-s2.0-84867673444
论文题名: DART/CAM: An ensemble data assimilation system for CESM atmospheric models
作者: Raeder K. ; Anderson J.L. ; Collins N. ; Hoar T.J. ; Kay J.E. ; Lauritzen P.H. ; Pincus R.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期: 18 起始页码: 6304
结束页码: 6317
语种: 英语
Scopus关键词: Arctic sea ice
; Atmospheric model
; Cloud cover
; Community atmosphere model
; Community facilities
; Data assimilation
; Earth system model
; Ensemble data assimilation
; Ensembles
; Error estimates
; Forcings
; Initial conditions
; Model comparison
; Model development
; Model evaluation
; Quality evaluation
; Reanalysis
; Research and development
; State variables
; Cams
; Climate models
; Experiments
; Forecasting
; Kalman filters
; Parameter estimation
; Sea ice
; Quality control
; atmospheric forcing
; atmospheric modeling
; climate modeling
; cloud cover
; data assimilation
; ensemble forecasting
; error analysis
; GPS
; Kalman filter
; radiosonde
; sea ice
; software
英文摘要: The Community Atmosphere Model (CAM) has been interfaced to the Data Assimilation Research Testbed (DART), a community facility for ensemble data assimilation. This provides a large set of data assimilation tools for climate model research and development. Aspects of the interface to the Community Earth System Model (CESM) software are discussed and a variety of applications are illustrated, ranging from model development to the production of long series of analyses. CAM output is compared directly to real observations from platforms ranging from radiosondes to global positioning system satellites. Such comparisons use the temporally and spatially heterogeneous analysis error estimates available from the ensemble to provide very specific forecast quality evaluations. The ability to start forecasts from analyses, which were generated by CAM on its native grid and have no foreign model bias, contributed to the detection of a code error involving Arctic sea ice and cloud cover. The potential of parameter estimation is discussed. A CAM ensemble reanalysis has been generated for more than 15 yr. Atmospheric forcings from the reanalysis were required as input to generate an ocean ensemble reanalysis that provided initial conditions for decadal prediction experiments. The software enables rapid experimentation with differing sets of observations and state variables, and the comparison of different models against identical real observations, as illustrated by a comparison of forecasts initialized by interpolated ECMWF analyses and by DART/CAM analyses. © 2012 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52241
Appears in Collections: 气候变化事实与影响
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作者单位: IMAGe, CISL, National Center for Atmospheric Research, Boulder, CO, United States; CGD, NESL, National Center for Atmospheric Research, Boulder, CO, United States; University of Colorado, Boulder, CO, United States; NOAA/Earth System Research Laboratory, Boulder, CO, United States
Recommended Citation:
Raeder K.,Anderson J.L.,Collins N.,et al. DART/CAM: An ensemble data assimilation system for CESM atmospheric models[J]. Journal of Climate,2012-01-01,25(18)