DOI: 10.1007/s00382-015-2732-9
Scopus记录号: 2-s2.0-84936791553
论文题名: Error analysis of upper tropospheric water vapor in CMIP5 models using “A-Train” satellite observations and reanalysis data
作者: Takahashi H. ; Su H. ; Jiang J.H.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 46, 期: 2017-09-10 起始页码: 2787
结束页码: 2803
语种: 英语
英文关键词: CMIP5
; Error analysis
; Large-scale circulation
; Upper tropospheric water vapor
; “A-Train” satellite observations
英文摘要: Upper tropospheric water vapor (UTWV) plays a critical role in amplifying global warming caused by increasing greenhouse gases, yet it is one of the most poorly simulated quantities in climate models. It is not clear what physical processes play a central role in controlling the model errors in UTWV. We diagnose the UTWV simulation errors from AMIP models submitted to the CMIP5 project by using “A-Train” satellite observation and reanalysis data. We identify the relative contributions of errors in relative humidity (RH), temperature, and large-scale circulation (represented by vertical pressure velocity at 500 hPa, ω500) to the modeled UTWV errors over the tropics (30°N–30°S). It is found that models generally have positive biases in UTWV, except over the continental convective regions where negative biases predominate. The errors in the patterns and amplitudes of climatological UTWV are highly correlated with those in RH and ω500. The fractional UTWV errors show large positive errors over the large-scale descending regimes (0 < ω500 < 40 hPa/day) where large model spreads also exist. The seasonal cycle of hemispherically averaged UTWV closely resembles that of ω500. The errors for UTWV interannual anomalies are abundant over the climatologically deep convective regions (SST > 300 K or ω500 < −30 hPa/day) and these errors are positive (negative) where anomalous descent (ascent) occurs during El Niño. We find that the water vapor errors are dominated by the errors in RH rather than in temperature throughout the troposphere, while temperature errors play an important role for water vapor errors near the tropopause. © 2015, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53730
Appears in Collections: 过去全球变化的重建
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作者单位: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Recommended Citation:
Takahashi H.,Su H.,Jiang J.H.. Error analysis of upper tropospheric water vapor in CMIP5 models using “A-Train” satellite observations and reanalysis data[J]. Climate Dynamics,2016-01-01,46(2017-09-10)