Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-18-16271-2018 |
Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model | |
Hedelius, Jacob K.1,2; Liu, Junjie1,3; Oda, Tomohiro4,5; Maksyutov, Shamil6; Roehl, Coleen M.1; Iraci, Laura T.7; Podolske, James R.7; Hillyard, Patrick W.8; Liang, Jianming9; Gurney, Kevin R.9,10; Wunch, Debra2; Wennberg, Paul O.1,11 | |
2018-11-16 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2018 |
卷号 | 18期号:22页码:16271-16291 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Canada; Japan |
英文摘要 | We estimate the overall CO2, CH4, and CO flux from the South Coast Air Basin using an inversion that couples Total Carbon Column Observing Network (TCCON) and Orbiting Carbon Observatory-2 (OCO-2) observations, with the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model and the Open-source Data Inventory for Anthropogenic CO2 (ODIAC). Using TCCON data we estimate the direct net CO2 flux from the SoCAB to be 104 +/- 26 TgCO(2) yr(-1) for the study period of July 2013-August 2016. We obtain a slightly higher estimate of 120 +/- 30 TgCO(2) yr(-1) using OCO-2 data. These CO2 emission estimates are on the low end of previous work. Our net CH4 (360 +/- 90 GgCH(4) yr(-1)) flux estimate is in agreement with central values from previous top-down studies going back to 2010 (342-440 GgCH(4) yr(-1)). CO emissions are estimated at 487 +/- 122 GgCOyr(-1), much lower than previous top-down estimates (1440 GgCOyr(-1)). Given the decreasing emissions of CO, this finding is not unexpected. We perform sensitivity tests to estimate how much errors in the prior, errors in the covariance, different inversion schemes, or a coarser dynamical model influence the emission estimates. Overall, the uncertainty is estimated to be 25 %, with the largest contribution from the dynamical model. Lessons learned here may help in future inversions of satellite data over urban areas. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000450277600002 |
WOS关键词 | LOS-ANGELES MEGACITY ; TOP-DOWN ESTIMATE ; METHANE EMISSIONS ; CARBON-DIOXIDE ; UNITED-STATES ; SURFACE FLUX ; CLARS-FTS ; BASIN ; INVENTORY ; GOSAT |
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/23881 |
专题 | 地球科学 |
作者单位 | 1.CALTECH, Div Geol & Planetary Sci, Pasadena, CA 91125 USA; 2.Univ Toronto, Dept Phys, Toronto, ON, Canada; 3.CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA; 4.NASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off, Greenbelt, MD USA; 5.Univ Space Res Assoc, Goddard Earth Sci Technol & Res, Columbia, MD USA; 6.Natl Inst Environm Studies, Ctr Global Environm Res, Tsukuba, Ibaraki, Japan; 7.NASA, Ames Res Ctr, Mountain View, CA USA; 8.Bay Area Environm Res Inst, Petaluma, CA USA; 9.Arizona State Univ, Sch Life Sci, Tempe, AZ USA; 10.No Arizona Univ, Sch Informat Comp & Cyber Syst, Flagstaff, AZ 86011 USA; 11.CALTECH, Div Engn & Appl Sci, Pasadena, CA 91125 USA |
推荐引用方式 GB/T 7714 | Hedelius, Jacob K.,Liu, Junjie,Oda, Tomohiro,et al. Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(22):16271-16291. |
APA | Hedelius, Jacob K..,Liu, Junjie.,Oda, Tomohiro.,Maksyutov, Shamil.,Roehl, Coleen M..,...&Wennberg, Paul O..(2018).Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(22),16271-16291. |
MLA | Hedelius, Jacob K.,et al."Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.22(2018):16271-16291. |
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