Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019JD031017 |
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
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ISSN | 2169-897X |
EISSN | 2169-8996 |
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 |
推荐引用方式 GB/T 7714 | 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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