scholarly journals Supplementary material to "Constraining fossil fuel CO<sub>2</sub> emissions from urban area using OCO-2 observations of total column CO<sub>2</sub>"

Author(s):  
Xinxin Ye ◽  
Thomas Lauvaux ◽  
Eric A. Kort ◽  
Tomohiro Oda ◽  
Sha Feng ◽  
...  
Author(s):  
Xinxin Ye ◽  
Thomas Lauvaux ◽  
Eric A. Kort ◽  
Tomohiro Oda ◽  
Sha Feng ◽  
...  

Abstract. Expanding urban populations and the significant contribution of cities to global fossil-fuel CO2 (CO2ff) emissions emphasize the necessity of achieving independent and accurate quantifications of the emissions from urban area. In this paper, we assess the utility of total column dry air CO2 mole fraction (XCO2) data retrieved from NASA's Orbiting Carbon Observatory 2 (OCO-2) observations to quantify CO2ff emissions from cities. Observing System Simulation Experiments (OSSEs) are implemented by forward modeling of meteorological fields and column XCO2. The impact of transport model errors on the inverse emissions estimates is examined for two “plume cities” (Riyadh, Cairo) and a “basin city” (Los Angeles metropolitan region, LA). The pseudo data experiments indicate convergence of emission uncertainties related to transport model errors with increasing amount of observations. The 1-σ uncertainty of emission estimates is constrained to approximately 15 %/5 % with about 10 pseudo tracks for plume city/basin city. The systematic wind speed biases in simulated wind fields for LA lead to overestimations in total CO2ff emission, which require data assimilation to improve high-resolution atmospheric transport. The contribution of biogenic fluxes gradients in urban and rural area of Pearl River Delta metropolitan region in China are examined by simulations with biospheric fluxes imposed by the Net Ecosystem Exchange (NEE) from multiple terrestrial biosphere models, which show about 24 ± 21 % (1σ) and 19 ± 15 % (1σ) contributions to the total XCO2 enhancements for the two cases examined. The representations of transport model errors for the emission optimization are examined for Riyadh, Cairo and LA ¬in real cases. The determination of background XCO2 is discussed for LA by using constant and simulated background with biospheric fluxes included, demonstrating the need of careful consideration of the variations in background XCO2 for identifying concentration enhancements due to fossil fuel emissions.


Author(s):  
Xinxin Ye ◽  
Thomas Lauvaux ◽  
Eric A. Kort ◽  
Tomohiro Oda ◽  
Sha Feng ◽  
...  
Keyword(s):  

2013 ◽  
Vol 13 (8) ◽  
pp. 4349-4357 ◽  
Author(s):  
G. Keppel-Aleks ◽  
P. O. Wennberg ◽  
C. W. O'Dell ◽  
D. Wunch

Abstract. We assess the large-scale, top-down constraints on regional fossil fuel emissions provided by observations of atmospheric total column CO2, XCO2. Using an atmospheric general circulation model (GCM) with underlying fossil emissions, we determine the influence of regional fossil fuel emissions on global XCO2 fields. We quantify the regional contrasts between source and upwind regions and probe the sensitivity of atmospheric XCO2 to changes in fossil fuel emissions. Regional fossil fuel XCO2 contrasts can exceed 0.7 ppm based on 2007 emission estimates, but have large seasonal variations due to biospheric fluxes. Contamination by clouds reduces the discernible fossil signatures. Nevertheless, our simulations show that atmospheric fossil XCO2 can be tied to its source region and that changes in the regional XCO2 contrasts scale linearly with emissions. We test the GCM results against XCO2 data from the GOSAT satellite. Regional XCO2 contrasts in GOSAT data generally scale with the predictions from the GCM, but the comparison is limited by the moderate precision of and relatively few observations from the satellite. We discuss how this approach may be useful as a policy tool to verify national fossil emissions, as it provides an independent, observational constraint.


Author(s):  
Kevin R. Gurney ◽  
Jianming Liang ◽  
Risa Patarasuk ◽  
Yang Song ◽  
Jianhua Huang ◽  
...  

2015 ◽  
Vol 120 (1) ◽  
pp. 292-312 ◽  
Author(s):  
Jocelyn C. Turnbull ◽  
Colm Sweeney ◽  
Anna Karion ◽  
Timothy Newberger ◽  
Scott J. Lehman ◽  
...  
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