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DOI10.1002/2014JD022617
US emissions of HFC-134a derived for 2008-2012 from an extensive flask-air sampling network
Hu, Lei1,2; Montzka, Stephen A.2; Miller, John B.1,2; Andrews, Aryln E.2; Lehman, Scott J.3; Miller, Benjamin R.1,2; Thoning, Kirk2; Sweeney, Colm1,2; Chen, Huilin4; Godwin, David S.5; Masarie, Kenneth2; Bruhwiler, Lori2; Fischer, Marc L.6; Biraud, Sebastien C.7; Torn, Margaret S.7; Mountain, Marikate8; Nehrkorn, Thomas8; Eluszkiewicz, Janusz8; Miller, Scot9; Draxler, Roland R.10; Stein, Ariel F.10; Hall, Bradley D.2; Elkins, James W.2; Tans, Pieter P.2
发表日期2015-01-27
ISSN2169-897X
卷号120期号:2页码:801-825
英文摘要

U.S. national and regional emissions of HFC-134a are derived for 2008-2012 based on atmospheric observations from ground and aircraft sites across the U.S. and a newly developed regional inverse model. Synthetic data experiments were first conducted to optimize the model assimilation design and to assess model-data mismatch errors and prior flux error covariances computed using a maximum likelihood estimation technique. The synthetic data experiments also tested the sensitivity of derived national and regional emissions to a range of assumed prior emissions, with the goal of designing a system that was minimally reliant on the prior. We then explored the influence of additional sources of error in inversions with actual observations, such as those associated with background mole fractions and transport uncertainties. Estimated emissions of HFC-134a range from 52 to 61 Gg yr(-1) for the contiguous U.S. during 2008-2012 for inversions using air transport from Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model driven by the 12km resolution meteorogical data from North American Mesoscale Forecast System (NAM12) and all tested combinations of prior emissions and background mole fractions. Estimated emissions for 2008-2010 were 20% lower when specifying alternative transport from Stochastic Time-Inverted Lagrangian Transport (STILT) model driven by the Weather Research and Forecasting (WRF) meteorology. Our estimates (for HYSPLIT-NAM12) are consistent with annual emissions reported by U.S. Environmental Protection Agency for the full study interval. The results suggest a 10-20% drop in U.S. national HFC-134a emission in 2009 coincident with a reduction in transportation-related fossil fuel CO2 emissions, perhaps related to the economic recession. All inversions show seasonal variation in national HFC-134a emissions in all years, with summer emissions greater than winter emissions by 20-50%.


英文关键词HFC-134a;emissions;inverse modeling;atmosphere based;US
语种英语
WOS记录号WOS:000350117100026
来源期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/61674
作者单位1.Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA;
2.NOAA, Global Monitoring Div, Earth Syst Res Lab, Boulder, CO USA;
3.Univ Colorado, Inst Arctic & Alpine Res, Boulder, CO 80309 USA;
4.Univ Groningen, Ctr Isotope Res, Groningen, Netherlands;
5.US EPA, Alternat & Emiss Reduct Branch, Stratospher Protect Div, Off Atmospher Programs,Off Air & Radiat, Washington, DC 20460 USA;
6.Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Environm Energy Technol Div, Berkeley, CA 94720 USA;
7.Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Div Earth Sci, Berkeley, CA 94720 USA;
8.Atmospher & Environm Res, Lexington, MA USA;
9.Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA;
10.NOAA, Air Resources Lab, College Pk, MD USA
推荐引用方式
GB/T 7714
Hu, Lei,Montzka, Stephen A.,Miller, John B.,et al. US emissions of HFC-134a derived for 2008-2012 from an extensive flask-air sampling network[J]. 美国环保署,2015,120(2):801-825.
APA Hu, Lei.,Montzka, Stephen A..,Miller, John B..,Andrews, Aryln E..,Lehman, Scott J..,...&Tans, Pieter P..(2015).US emissions of HFC-134a derived for 2008-2012 from an extensive flask-air sampling network.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,120(2),801-825.
MLA Hu, Lei,et al."US emissions of HFC-134a derived for 2008-2012 from an extensive flask-air sampling network".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 120.2(2015):801-825.
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