Combining satellite data and models to estimate cloud radiative effect at the surface and in the atmosphere

被引:105
作者
Allan, Richard P. [1 ]
机构
[1] Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci, Sch Phys & Math Sci, Reading RG6 6AL, Berks, England
关键词
clouds; radiative flux; climate; general circulation models; GEOSTATIONARY EARTH RADIATION; BUDGET GERB DATA; CLEAR-SKY; DECADAL VARIABILITY; PART II; CLIMATE; LONGWAVE; FEEDBACK; CONFIGURATION; SYSTEM;
D O I
10.1002/met.285
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Satellite measurements and numerical forecast model reanalysis data are used to compute an updated estimate of the cloud radiative effect on the global multi-annual mean radiative energy budget of the atmosphere and surface. The cloud radiative cooling effect through reflection of short wave radiation dominates over the long wave heating effect, resulting in a net cooling of the climate system of -21 Wm(-2). The short wave radiative effect of cloud is primarily manifest as a reduction in the solar radiation absorbed at the surface of -53 Wm(-2). Clouds impact long wave radiation by heating the moist tropical atmosphere (up to around 40 Wm(-2) for global annual means) while enhancing the radiative cooling of the atmosphere over other regions, in particular higher latitudes and sub-tropical marine stratocumulus regimes. While clouds act to cool the climate system during the daytime, the cloud greenhouse effect heats the climate system at night. The influence of cloud radiative effect on determining cloud feedbacks and changes in the water cycle are discussed. Copyright (C) 2011 Royal Meteorological Society
引用
收藏
页码:324 / 333
页数:10
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