Deriving emissions time series from sparse atmospheric mole fractions

Journal of Geophysical Research Atmospheres

Volumn 116, Issue 8, 2011, Pages

  Rigby, M ^a   Ganesan, A L ^a   Prinn, R G ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INVERSE PROBLEMS; TIME SERIES;

AIR SAMPLES; ATMOSPHERIC TRACE SPECIES; BAYESIAN INVERSE METHOD; MEASUREMENT INTERVAL; MOLE FRACTION; REGULARIZATION SCHEMES; TIME-SCALES;

AIR POLLUTION;

AIR SAMPLING; ATMOSPHERIC MODELING; ATMOSPHERIC PLUME; ATMOSPHERIC POLLUTION; BAYESIAN ANALYSIS; TIME SERIES; TIMESCALE; TRACE ELEMENT;

EID: 79955638352     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2010JD015401     Document Type: Article

References (26)

1. Cunnold, D. M., et al. (1994), Global trends and annual releases of CCl3F and CCl2F2 estimated from ALE/GAGE and other measurements from July 1978 to June 1991, J. Geophys. Res., 99(D1), 1107-1126.
2. Enting, I. G. (2002), Inverse Problems in Atmospheric Constituent Transport, Cambridge Univ. Press, Cambridge, U. K.
3. Enting, I. G., C. M. Trudinger, and D. M. Etheridge (2006), Propagating data uncertainty through smoothing spline fits, Tellus, Ser. B, 58, 305-309. (Pubitemid 44219664)
4. European Commission Joint Research Centre and Netherlands Environmental Assessment Agency (2009), Emission database for global atmospheric research (EDGAR), release version 4.0, http://edgar.jrc.ec.europa. eu, EC-JRC/PBL, Brussels.
5. Geller, L., et al. (1997), Tropospheric SF6: Observed latitudinal distribution and trends, derived emissions and interhemispheric exchange time, Geophys. Res. Lett., 24(6), 675-678.
6. Hansen, P. C. (1992), Analysis of discrete ill-posed problems by means of the L-curve, SIAM Rev., 34(4), 561-580.
7. Joos, F., R. Meyer, M. Bruno, and M. Leuenberger (1999), The variability in the carbon sinks as reconstructed for the last 1000 years, Geophys. Res. Lett., 26(10), 1437-440. (Pubitemid 29483583)
8. Khasibatla, P., M. Heimann, P. Rayner, N. Mahowald, R. G. Prinn, and D. E. Hartley (Eds.) (2000), Inverse Methods in Global Biogeochemical Cycles, Geophys. Monogr. Ser., vol. 114, AGU, Washington D. C.
9. Maiss, M., and C. A. M. Brenninkmeijer (1998), Atmospheric SF6: Trends, sources, and prospects, Environ. Sci. Technol., 32(20), 3077-3086. (Pubitemid 28485240)
10. Masarie, K. A., and P. P. Tans (1995), Extension and integration of atmospheric carbon dioxide data into a globally consistent measurement record, J. Geophys. Res., 100(D6), 11,593-11,610.
11. McIntosh, P. C., and G. Veronis (1993), Solving underdetermined tracer inverse problems by spatial smoothing and cross validation, J. Phys. Oceanogr., 23(4), 716-730. (Pubitemid 24429519)
12. Michalak, A. M., A. Hirsch, L. Bruhwiler, K. R. Gurney, W. Peters, and P. P. Tans (2005), Maximum likelihood estimation of covariance parameters for Bayesian atmospheric trace gas surface flux inversions, J. Geophys. Res., 110, D24107, doi:10.1029/2005JD005970. (Pubitemid 43169394)
13. Miller, B. R., J. Huang, R. F. Weiss, R. G. Prinn, and P. J. Fraser (1998), Atmospheric trend and lifetime of chlorodifluoromethane (HCFC-22) and the global tropospheric OH concentration, J. Geophy. Res., 103(D11), 13,237-13,248. (Pubitemid 28469506)
14. Miller, B. R., et al. (2010), HFC-23 (CHF3) emission trend response to HCFC-22 (CHClF2) production and recent HFC-23 emission abatement measures, Atmos. Chem. Phys., 10, 7875-7890.
15. Montzka, S. A., L. Kuijpers, M. O. Battle, M. Aydin, K. R. Verhulst, E. S. Saltzman, and D. W. Fahey (2010), Recent increases in global HFC-23 emissions, Geophys. Res. Lett., 37, L02808, doi:10.1029/2009GL041195.
16. Mühle, J., et al. (2009), Sulfuryl fluoride in the global atmosphere, J. Geophys. Res., 114, D05306, doi:10.1029/2008JD011162.
17. Mühle, J., et al. (2010), Perfluorocarbons in the global atmosphere: Tetrafluoromethane, hexafluoroethane, and octafluoropropane, Atmos. Chem. Phys., 10, 5145-5164.
18. O'Doherty, S., et al. (2004), Rapid growth of hydrofluorocarbon 134a and hydrochlorofluorocarbons 141b, 142b, and 22 from Advanced Global Atmospheric Gases Experiment (AGAGE) observations at Cape Grim, Tasmania, and Mace Head, Ireland, J. Geophys. Res., 109, D06310, doi:10.1029/2003JD004277.
19. Oram, D. E., W. T. Sturges, S. A. Penkett, A. McCulloch, and P. J. Fraser (1998), Growth of fluoroform (CHF3, HFC-23) in the background atmosphere, Geophys. Res. Lett., 25(1), 35-38.
20. Prinn, R. G., et al. (2000), A history of chemically and radiatively important gases in air deduced from ALE/GAGE/AGAGE, J. Geophys. Res., 105(D14), 17,751-17,792, doi:10.1029/2000JD900141.
21. Rigby, M., et al. (2010), History of atmospheric SF6 from 1973 to 2008, Atmos. Chem. Phys., 10, 10,305-10,320.
22. Tarantola, A. (2005), Inverse Problem Theory and Methods for Model Parameter Estimation, Soc. for Indust. and Appl. Math., Philadelphia.
23. Tikhonov, A. N., and V. Y. Arsenin (1977), Solutions of Ill-Posed Problems, John Wiley, New York.
24. Weiss, R. F., J. Mühle, P. K. Salameh, and C. M. Harth (2008), Nitrogen trifluoride in the global atmosphere, Geophys. Res. Lett., 35, L20821, doi:10.1029/2008GL035913.
25. Wunsch, C. (2006), Discrete Inverse and State Estimation Problems: With Geophysical Fluid Applications, Cambridge Univ. Press, Cambridge, U. K.
26. Xiao, X., et al. (2007), Optimal estimation of the soil uptake rate of molecular hydrogen from the Advanced Global Atmospheric Gases Experiment and other measurements, J. Geophys. Res., 112, D07303, doi:10.1029/ 2006JD007241. (Pubitemid 46916222)