Estimates of the Water Vapor Climate Feedback during El Nino-Southern Oscillation

被引:33
作者
Dessler, A. E. [1 ]
Wong, S. [1 ]
机构
[1] Texas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA
关键词
ATMOSPHERE; PINATUBO;
D O I
10.1175/2009JCLI3052.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
070601 [气象学];
摘要
The strength of the water vapor feedback has been estimated by analyzing the changes in tropospheric specific humidity during El Nino-Southern Oscillation (ENSO) cycles. This analysis is done in climate models driven by observed sea surface temperatures [Atmospheric Model Intercomparison Project (AMIP) runs], preindustrial runs of fully coupled climate models, and in two reanalysis products, the 40-yr European Centre for Medium-Range Weather Forecasts Re-Analysis (ERA-40) and the NASA Modern Era Retrospective-Analysis for Research and Applications (MERRA). The water vapor feedback during ENSO-driven climate variations in the AMIP models ranges from 1.9 to 3.7 W m(-2) K-1, in the control runs it ranges from 1.4 to 3.9 W m(-2) K-1, and in the ERA-40 and MERRA it is 3.7 and 4.7 W m(-2) K-1, respectively. Taken as a group, these values are higher than previous estimates of the water vapor feedback in response to century-long global warming. Also examined is the reason for the large spread in the ENSO-driven water vapor feedback among the models and between the models and the reanalyses. The models and the reanalyses show a consistent relationship between the variations in the tropical surface temperature over an ENSO cycle and the radiative response to the associated changes in specific humidity. However, the feedback is defined as the ratio of the radiative response to the change in the global average temperature. Differences in extratropical temperatures will, therefore, lead to different inferred feedbacks, and this is the root cause of spread in feedbacks observed here. This is also the likely reason that the feedback inferred from ENSO is larger than for long-term global warming.
引用
收藏
页码:6404 / 6412
页数:9
相关论文
共 24 条
[1]
[Anonymous], 2008, NASATM2008104606
[2]
A comparison of climate feedbacks in general circulation models [J].
Colman, R .
CLIMATE DYNAMICS, 2003, 20 (7-8) :865-873
[3]
Water-vapor climate feedback inferred from climate fluctuations, 2003-2008 [J].
Dessler, A. E. ;
Zhang, Z. ;
Yang, P. .
GEOPHYSICAL RESEARCH LETTERS, 2008, 35 (20)
[4]
ATMOSPHERIC SCIENCE A Matter of Humidity [J].
Dessler, Andrew E. ;
Sherwood, Steven C. .
SCIENCE, 2009, 323 (5917) :1020-1021
[5]
Forster P, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P129
[6]
Quantifying the water vapour feedback associated with post-Pinatubo global cooling [J].
Forster, PMD ;
Collins, M .
CLIMATE DYNAMICS, 2004, 23 (02) :207-214
[7]
Observed and simulated upper-tropospheric water vapor feedback [J].
Gettelman, A. ;
Fu, Q. .
JOURNAL OF CLIMATE, 2008, 21 (13) :3282-3289
[8]
MANABE S, 1967, J ATMOS SCI, V24, P241, DOI 10.1175/1520-0469(1967)024<0241:TEOTAW>2.0.CO
[9]
2
[10]
The WCRP CMIP3 multimodel dataset - A new era in climate change research [J].
Meehl, Gerald A. ;
Covey, Curt ;
Delworth, Thomas ;
Latif, Mojib ;
McAvaney, Bryant ;
Mitchell, John F. B. ;
Stouffer, Ronald J. ;
Taylor, Karl E. .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2007, 88 (09) :1383-1394