DOI: 10.1175/JCLI-D-11-00147.1
Scopus记录号: 2-s2.0-84859339102
论文题名: Evaluation and intercomparison of cloud fraction and radiative fluxes in recent reanalyses over the arctic using BSRN surface observations
作者: Zib B.J. ; Dong X. ; Xi B. ; Kennedy A.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期: 7 起始页码: 2291
结束页码: 2305
语种: 英语
Scopus关键词: Aerosol loading
; Annual mean
; Arctic
; Atmospheric reanalysis
; Climate forecasts
; Cloud cover
; Cloud fraction
; Cloud properties
; Data assimilation systems
; Data sets
; Down-welling
; High quality
; Intercomparisons
; Long waves
; Model evaluation/performance
; Observing systems
; Parameterizations
; Radiation fluxes
; Radiative fluxes
; Reanalysis
; Reanalysis project
; Research and application
; Retrospective analysis
; Short waves
; Surface observation
; Surface radiation
; Surface radiative flux
; Surface station
; Twentieth century
; Water vapor contents
; NASA
; Errors
; aerosol
; cloud cover
; data assimilation
; data set
; downwelling
; longwave radiation
; numerical model
; parameterization
; shortwave radiation
; Arctic
英文摘要: With continual advancements in data assimilation systems, new observing systems, and improvements in model parameterizations, several new atmospheric reanalysis datasets have recently become available. Before using these new reanalyses it is important to assess the strengths and underlying biases contained in each dataset. A study has been performed to evaluate and compare cloud fractions (CFs) and surface radiative fluxes in several of these latest reanalyses over the Arctic using 15 years (1994-2008) of high-quality Baseline Surface Radiation Network (BSRN) observations from Barrow (BAR) and Ny-Alesund (NYA) surface stations. The five reanalyses being evaluated in this study are (i) NASA's Modern-Era Retrospective analysis for Research and Applications (MERRA), (ii) NCEP's Climate Forecast System Reanalysis (CFSR), (iii) NOAA's Twentieth Century Reanalysis Project (20CR), (iv) ECMWF's Interim Reanalysis (ERA-I), and (v) NCEP-Department of Energy (DOE)'s Reanalysis II (R2). All of the reanalyses show considerable bias in reanalyzed CF during the year, especially in winter. The large CF biases have been reflected in the surface radiation fields, as monthly biases in shortwave (SW) and longwave (LW) fluxes are more than 90 (June) and 60 W m -2 (March), respectively, in some reanalyses. ERA-I and CFSR performed the best in reanalyzing surface downwelling fluxes with annual mean biases less than 4.7 (SW) and 3.4 W m -2 (LW) over both Arctic sites. Even when producing the observed CF, radiation flux errors were found to exist in the reanalyses suggesting that they may not always be dependent on CF errors but rather on variations of more complex cloud properties, water vapor content, or aerosol loading within the reanalyses. © 2012 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52487
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, United States
Recommended Citation:
Zib B.J.,Dong X.,Xi B.,et al. Evaluation and intercomparison of cloud fraction and radiative fluxes in recent reanalyses over the arctic using BSRN surface observations[J]. Journal of Climate,2012-01-01,25(7)