GSTDTAP  > 地球科学
DOI10.5194/acp-18-17355-2018
Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003-2016
Buchwitz, Michael1; 39;Dell, Christopher2
2018-12-07
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2018
卷号18期号:23
文章类型Article
语种英语
国家Germany; England; Netherlands; Japan; USA
英文摘要

The growth rate of atmospheric carbon dioxide (CO2) reflects the net effect of emissions and uptake resulting from anthropogenic and natural carbon sources and sinks. Annual mean CO2 growth rates have been determined from satellite retrievals of column-averaged dry-air mole fractions of CO2, i.e. XCO2, for the years 2003 to 2016. The XCO2 growth rates agree with National Oceanic and Atmospheric Administration (NOAA) growth rates from CO2 surface observations within the uncertainty of the satellite-derived growth rates (mean difference +/- standard deviation: 0.0 +/- 0.3 ppm year(-1); R: 0.82). This new and independent data set confirms record-large growth rates of around 3 ppm year(-1) in 2015 and 2016, which are attributed to the 2015-2016 El Nino. Based on a comparison of the satellite-derived growth rates with human CO2 emissions from fossil fuel combustion and with El Nino Southern Oscillation (ENSO) indices, we estimate by how much the impact of ENSO dominates the impact of fossil-fuel-burning-related emissions in explaining the variance of the atmospheric CO2 growth rate. Our analysis shows that the ENSO impact on CO2 growth rate variations dominates that of human emissions throughout the period 2003-2016 but in particular during the period 2010-2016 due to strong La Nina and El Nino events. Using the derived growth rates and their uncertainties, we estimate the probability that the impact of ENSO on the variability is larger than the impact of human emissions to be 63 % for the time period 2003-2016. If the time period is restricted to 2010-2016, this probability increases to 94%.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000452384100001
WOS关键词RETRIEVAL ALGORITHM ; REGIONAL CO2 ; EL-NINO ; GOSAT ; SCIAMACHY ; ENHANCEMENTS ; PRODUCTIVITY ; VALIDATION ; EMISSION ; ENSEMBLE
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; 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/29519
专题地球科学
作者单位1.Univ Bremen, Inst Environm Phys IUP, Bremen, Germany;
2.Deutsch Zentrum Luft & Raumfahrt eV DLR, Inst Phys Atmosphare, Oberpfaffenhofen, Germany;
3.Univ Leicester, Earth Observat Sci, Leicester, Leics, England;
4.NERC Natl Ctr Earth Observat, Leicester, Leics, England;
5.SRON Netherlands Inst Space Res, Utrecht, Netherlands;
6.LMU, Meteorol Inst, Munich, Germany;
7.Japan Aerosp Explorat Agcy JAXA, Tsukuba, Ibaraki, Japan;
8.NIES, Tsukuba, Ibaraki, Japan;
9.Jet Prop Lab, Pasadena, CA USA;
10.Colorado State Univ, Ft Collins, CO 80523 USA;
11.Heidelberg Univ, Inst Umweltphys, Heidelberg, Germany
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GB/T 7714
Buchwitz, Michael,39;Dell, Christopher. Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003-2016[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(23).
APA Buchwitz, Michael,&39;Dell, Christopher.(2018).Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003-2016.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(23).
MLA Buchwitz, Michael,et al."Computation and analysis of atmospheric carbon dioxide annual mean growth rates from satellite observations during 2003-2016".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.23(2018).
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