DOI: 10.1029/2012JD018607
论文题名: Evaluating CMIP5 models using AIRS tropospheric air temperature and specific humidity climatology
作者: Tian B. ; Fetzer E.J. ; Kahn B.H. ; Teixeira J. ; Manning E. ; Hearty T.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 1 起始页码: 114
结束页码: 134
语种: 英语
英文关键词: AIRS
; CMIP5
Scopus关键词: Air
; Atmospheric temperature
; Boundary layers
; Climate models
; Climatology
; Infrared devices
; NASA
; Tropics
; Troposphere
; Atmospheric infrared sounders
; CMIP5
; Coupled Model Intercomparison Project
; Free troposphere
; Research and application
; Retrospective analysis
; Specific humidity
; Upper troposphere
; Infrared instruments
; air temperature
; AIRS
; atmospheric convection
; boundary layer
; data set
; humidity
; model validation
; satellite data
; troposphere
; Pacific Ocean
; Pacific Ocean (Tropical)
英文摘要: This paper documents the climatological mean features of the Atmospheric Infrared Sounder (AIRS) monthly mean tropospheric air temperature (ta, K) and specific humidity (hus, kg/kg) products as part of the Obs4MIPs project and compares them to those from NASA's Modern Era Retrospective analysis for Research and Applications (MERRA) for validation and 16 models from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) for CMIP5 model evaluation. MERRA is warmer than AIRS in the free troposphere but colder in the boundary layer with differences typically less than 1 K. MERRA is also drier (~10%) than AIRS in the tropical boundary layer but wetter (~30%) in the tropical free troposphere and the extratropical troposphere. In particular, the large MERRA-AIRS specific humidity differences are mainly located in the deep convective cloudy regions indicating that the low sampling of AIRS in the cloudy regions may be the main reason for these differences. In comparison to AIRS and MERRA, the sixteen CMIP5 models can generally reproduce the climatological features of tropospheric air temperature and specific humidity well, but several noticeable biases exist. The models have a tropospheric cold bias (around 2 K), especially in the extratropical upper troposphere, and a double-ITCZ problem in the troposphere from 1000 hPa to 300 hPa, especially in the tropical Pacific. The upper-tropospheric cold bias exists in the most (13 of 16) models, and the double-ITCZ bias is found in all 16 CMIP5 models. Both biases are independent of the reference dataset used (AIRS or MERRA). Key Points The AIRS/CMIP5 data are described and validated. CMIP5 models are evaluated using AIRS data. Double-ITCZ syndrome & upper-tropospheric cold bias exist in most CMIP5 models. © 2012 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/63963
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Jet Propulsion Laboratory, California Institute of Technology, M/S 233-304, 4800 Oak Grove Dr., Pasadena, CA 91109, United States; Goddard Space Flight Center/Wyle Information Systems, Greenbelt, MD, United States
Recommended Citation:
Tian B.,Fetzer E.J.,Kahn B.H.,et al. Evaluating CMIP5 models using AIRS tropospheric air temperature and specific humidity climatology[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(1)