GSTDTAP
DOI10.1029/2019JD031017
Quantifying the Drivers of the Clear Sky Greenhouse Effect, 2000-2016
Raghuraman, Shiv Priyam1; Paynter, David2; Ramaswamy, V.2
2019-11-15
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2019
卷号124期号:21页码:11354-11371
文章类型Article
语种英语
国家USA
英文摘要

The clear sky greenhouse effect (G) is defined as the trapping of infrared radiation by the atmosphere in the absence of clouds. The magnitude and variability of G is an important element in the understanding of Earth's energy balance; yet the quantification of the governing factors of G is poor. The global mean G averaged over 2000 to 2016 is 130-133 W m(-2) across data sets. We use satellite observations from Clouds and the Earth's Radiant Energy System Energy Balance and Filled (CERES EBAF) to calculate the monthly anomalies in the clear sky greenhouse effect (Delta G). We quantify the contributions to Delta G due to changes in surface temperature, atmospheric temperature, and water vapor by performing partial radiation perturbation experiments using ERA-Interim and Geophysical Fluid Dynamics Laboratory's Atmospheric Model 4.0 climatological data. Water vapor in the middle troposphere and upper troposphere is found to contribute equally to the global mean and tropical mean Delta G. Holding relative humidity (RH) fixed in the radiative transfer calculations captures the temporal variability of global mean Delta G while variations in RH control the regional Delta G signal. The variations in RH are found to help generate the clear sky super greenhouse effect (SGE). Thirty-six percent of Earth's area exhibits SGE, and this disproportionately contributes to 70% of the globally averaged magnitude of Delta G. In the global mean, G's sensitivity to surface temperature is 3.1-4.0 W m(-2) K-1, and the clear sky longwave feedback parameter is 1.5-2.0 W m(-2) K-1. Observations from CERES EBAF lie at the more sensitive ends of these ranges and the spread arises from its cloud removal treatment, suggesting that it is difficult to constrain clear sky feedbacks.


英文关键词greenhouse effect super greenhouse effect water vapor climate feedback relative humidity middle troposphere
领域气候变化
收录类别SCI-E
WOS记录号WOS:000496622000001
WOS关键词CLIMATE FEEDBACKS ; MODEL ; ATMOSPHERE ; SENSITIVITY ; CONVECTION ; CLOUDS ; ENSO
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/225774
专题环境与发展全球科技态势
作者单位1.Princeton Univ, Program Atmospher & Ocean Sci, Princeton, NJ 08544 USA;
2.NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA
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Raghuraman, Shiv Priyam,Paynter, David,Ramaswamy, V.. Quantifying the Drivers of the Clear Sky Greenhouse Effect, 2000-2016[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(21):11354-11371.
APA Raghuraman, Shiv Priyam,Paynter, David,&Ramaswamy, V..(2019).Quantifying the Drivers of the Clear Sky Greenhouse Effect, 2000-2016.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(21),11354-11371.
MLA Raghuraman, Shiv Priyam,et al."Quantifying the Drivers of the Clear Sky Greenhouse Effect, 2000-2016".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.21(2019):11354-11371.
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