Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018GL077823 |
Reevaluating the Use of O(2)a(g)(1) Band in Spaceborne Remote Sensing of Greenhouse Gases | |
Sun, Kang1,2; Gordon, Iouli E.2; Sioris, Christopher E.3; Liu, Xiong2; Chance, Kelly2; Wofsy, Steven C.4,5 | |
2018-06-16 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2018 |
卷号 | 45期号:11页码:5779-5787 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Canada |
英文摘要 | Although the O(2)a(g)(1) band has long been used in ground-based greenhouse gas remote sensing to constrain the light path, it is challenging for nadir spaceborne sensors due to strong mesosphere/stratosphere airglow. Spectroscopic simulations using upper state populations successfully reconstruct the airglow spectra with excellent agreement with SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY limb observations (residual root-mean-square <0.7%). The accurate knowledge of airglow spectrum enables retrieval of O-2(a(g)(1)) number density, volume emission rate, and temperature. For nadir spaceborne observations, the a(g)(1) airglow will lead to a negative bias of approximate to 10% to O-2 column, if not considered. However, when properly included, the airglow spectral feature can be adequately separated from O-2 absorption (mean bias <0.1%) at the spectral resolution of modern spaceborne spectrometers. Plain Language Summary Carbon dioxide (CO2) and methane are two of the most important anthropogenic greenhouse gases. Highly accurate global-scale spaceborne measurements using backscattered sunlight are needed to adequately quantify the sources and sinks of CO2 and methane, which are still poorly understood. To achieve the required accuracy, atmospheric oxygen needs to be measured simultaneously to constrain the path length of the backscattered sunlight through the atmosphere. The best oxygen band for this purpose, the a(g)(1), or singlet Delta, band at 1.27m, has long been deemed unusable in spaceborne measurements, due to the intense and uncertain airglow emitted from the upper atmosphere at the same wavelength. This study characterizes the spectral shape and spatial distribution of airglow using recent satellite observations and concludes that the contamination of airglow can be adequately separated from the backscattered sunlight without significant loss of precision and accuracy. The use of the singlet Delta band will substantially simplify the design of spaceborne greenhouse gas instruments, reduce the cost, and potentially make more accurate greenhouse gas retrievals. As such, we call on the greenhouse gas remote sensing community to reconsider the oxygen singlet Delta band in future missions. |
英文关键词 | Airglow Greenhouse Gases Remote Sensing Spectroscopy |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000436249900063 |
WOS关键词 | RETRIEVAL ALGORITHM ; SATELLITE-OBSERVATIONS ; ATMOSPHERIC METHANE ; CO2 RETRIEVAL ; SCIAMACHY ; CH4 ; PERFORMANCE ; MISSION ; OZONE ; DISTRIBUTIONS |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
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/28281 |
专题 | 气候变化 |
作者单位 | 1.SUNY Buffalo, Environm & Water Inst, Res & Educ eNergy, Buffalo, NY 14260 USA; 2.Harvard Smithsonian Ctr Astrophys, 60 Garden St, Cambridge, MA 02138 USA; 3.Environm & Climate Change Canada, Toronto, ON, Canada; 4.Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA; 5.Harvard Univ, Dept Earth & Planetary Sci, 20 Oxford St, Cambridge, MA 02138 USA |
推荐引用方式 GB/T 7714 | Sun, Kang,Gordon, Iouli E.,Sioris, Christopher E.,et al. Reevaluating the Use of O(2)a(g)(1) Band in Spaceborne Remote Sensing of Greenhouse Gases[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(11):5779-5787. |
APA | Sun, Kang,Gordon, Iouli E.,Sioris, Christopher E.,Liu, Xiong,Chance, Kelly,&Wofsy, Steven C..(2018).Reevaluating the Use of O(2)a(g)(1) Band in Spaceborne Remote Sensing of Greenhouse Gases.GEOPHYSICAL RESEARCH LETTERS,45(11),5779-5787. |
MLA | Sun, Kang,et al."Reevaluating the Use of O(2)a(g)(1) Band in Spaceborne Remote Sensing of Greenhouse Gases".GEOPHYSICAL RESEARCH LETTERS 45.11(2018):5779-5787. |
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