Influence of satellite data uncertainties on the detection of externally forced climate change

被引：50

作者：

Santer, BD ^{[1
]}

Wigley, TML

Meehl, GA

Wehner, MF

Mears, C

Schabel, M

Wentz, FJ

Ammann, C

Arblaster, J

Bettge, T

Washington, WM

Taylor, KE

Boyle, JS

Brüggemann, W

Doutriaux, C

机构：

[1] Lawrence Livermore Natl Lab, Program Climate Model Diag & Intercomparison, Livermore, CA 94550 USA

[2] Natl Ctr Atmospher Res, Boulder, CO 80303 USA

[3] Univ Calif Berkeley, Lawrence Berkeley Lab, Berkeley, CA 94720 USA

[4] Remote Sensing Syst, Santa Rosa, CA 95401 USA

[5] Univ Birmingham, Birmingham B15 2TT, W Midlands, England

来源：

SCIENCE | 2003年 / 300卷 / 5623期

关键词：

D O I：

10.1126/science.1082393

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Two independent analyses of the same satellite-based radiative emissions data yield tropospheric temperature trends that differ by 0.1degreesC per decade over 1979 to 2001. The troposphere warms appreciably in one satellite data set, while the other data set shows little overall change. These satellite data uncertainties are important in studies seeking to identify human effects on climate. A model-predicted "fingerprint" of combined anthropogenic and natural effects is statistically detectable only in the satellite data set with a warming troposphere. Our findings show that claimed inconsistencies between model predictions and satellite tropospheric temperature data (and between the latter and surface data) may be an artifact of data uncertainties.

引用

页码：1280 / 1284

页数：6

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