globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2016JD025157
论文题名:
Investigating seasonal methane emissions in Northern California using airborne measurements and inverse modeling
作者: Johnson M.S.; Xi X.; Jeong S.; Yates E.L.; Iraci L.T.; Tanaka T.; Loewenstein M.; Tadić J.M.; Fischer M.L.
刊名: Journal of Geophysical Research: Atmospheres
出版年: 2016
卷: 121, 期:22
起始页码: 753
结束页码: 767
语种: 英语
英文关键词: AJAX airborne measurements ; emission inventory ; inverse modeling ; methane ; source apportionment
Scopus关键词: airborne sensing ; atmospheric transport ; climate modeling ; emission ; emission inventory ; experimental study ; greenhouse gas ; measurement method ; methane ; seasonal variation ; source apportionment ; stochasticity ; weather forecasting ; California ; San Francisco Bay ; San Joaquin Valley ; United States
英文摘要: Seasonal methane (CH4) emissions in Northern California are evaluated during this study by using airborne measurement data and inverse model simulations. This research applies Alpha Jet Atmospheric eXperiment (AJAX) measurements obtained during January–February 2013, July 2014, and October–November 2014 over the San Francisco Bay Area (SFBA) and northern San Joaquin Valley (SJV) in order to constrain seasonal CH4 emissions in Northern California. The California Greenhouse Gas Emissions Measurement (CALGEM) a priori emission inventory was applied in conjunction with the Weather Research and Forecasting and Stochastic Time-Inverted Lagrangian Transport model and inverse modeling techniques to optimize CH4 emissions. Comparing model-predicted CH4 mixing ratios with airborne measurements, we find substantial underestimates suggesting that CH4 emissions were likely larger than the year 2008 a priori CALGEM emission inventory in Northern California. Using AJAX measurements to optimize a priori emissions resulted in CH4 flux estimates from the SFBA/SJV of 1.77 ± 0.41, 0.83 ± 0.31, and 1.06 ± 0.39 Tg yr−1 when using winter, summer, and fall flight data, respectively. Averaging seasonal a posteriori emission estimates (weighted by posterior uncertainties) results in SFBA/SJV annual CH4 emissions of 1.28 ± 0.38 Tg yr−1. A posteriori uncertainties are reduced more effectively in the SFBA/SJV region compared to state-wide values indicating that the airborne measurements are most sensitive to emissions in this region. A posteriori estimates during this study suggest that dairy livestock was the source with the largest increase relative to the a priori CALGEM emission inventory during all seasons. ©2016. The Authors.
资助项目: DE-AC02-05CH11231"The authors gratefully recognize the support and partnership of H211 LLC, with particular thanks to K. Ambrose, R. Simone, B. Quiambao, J. Lee, and R. Fisher. Technical contributions from W. Gore, A. Trias, M. Roby, Z. Young, E. Quigley, R. Walker, R. Belme, and L. Sharma made this project possible. We would also like to acknowledge the NOAA Earth System Research Laboratory Global Modeling Division—Carbon Cycle Group for producing the Greenhouse Gas Marine Boundary Layer Reference data. Resources supporting this work were provided by the NASA High-End Computing Program through the NASA Advanced Supercomputing Division at NASA Ames Research Center. X. Xi is supported by the NASA Postdoctoral Program at the NASA Ames Research Center, administered by Oak Ridge Associated Universities through a contract with NASA. Efforts by Lawrence Berkeley National Laboratory employees were supported by the University of California, the California Energy Commission, and the California Air Resources Board under contract number DE-AC02-05CH11231. All the authors express gratitude to the support from the NASA's Earth Science Division at Ames Research Center. The views, opinions, and findings contained in this report are those of the authors and should not be construed as an official NASA or United States Government position, policy, or decision. In accordance with the data policy of the Journal of Geophysical Research: Atmospheres, the AJAX data used during this study are available upon request to the corresponding author (matthew.s.johnson@nasa.gov). Finally, the authors would like to thank three anonymous reviewers for their useful comments which greatly improved the manuscript.
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被引频次[WOS]:12   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62803
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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作者单位: Earth Science Division, NASA Ames Research Center, Moffett Field, CA, United States; Energy Analysis and Environmental Impacts Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Now at the Climate Sciences Department, Lawrence Berkeley National Laboratory, Berkeley, CA, United States

Recommended Citation:
Johnson M.S.,Xi X.,Jeong S.,et al. Investigating seasonal methane emissions in Northern California using airborne measurements and inverse modeling[J]. Journal of Geophysical Research: Atmospheres,2016-01-01,121(22)
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