Comparison of CH4 inversions based on 15 months of GOSAT and SCIAMACHY observations

Journal of Geophysical Research Atmospheres

Volumn 118, Issue 20, 2013, Pages 11,807-11,823

  Monteil, Guillaume ^a,b   Houweling, Sander ^a,b   Butz, André ^c   Guerlet, Sandrine ^b,d   Schepers, Dinand ^b   Hasekamp, Otto ^b   Frankenberg, Christian ^e   Scheepmaker, Remco ^b   Aben, Ilse ^b   Röckmann, Thomas ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

^b SRON NETHERLANDS INSTITUTE FOR SPACE RESEARCH   (Netherlands)

^c KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^d LABORATOIRE DE MÉTÉOROLOGIE DYNAMIQUE   (France)

^e CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

GOSAT; inverse modelling; methane; SCIAMACHY

Indexed keywords

ATMOSPHERIC CHEMISTRY; INVERSE PROBLEMS; RESEARCH LABORATORIES; SATELLITES; SPECTROMETERS; SURFACE MEASUREMENT; SYSTEMATIC ERRORS;

COMPARISONS WITH MEASUREMENTS; FOURIER TRANSFORM SPECTROMETERS; GOSAT; GREENHOUSE GASES OBSERVING SATELLITES; INVERSE MODELLING; SATELLITE MEASUREMENTS; SCANNING IMAGING ABSORPTION SPECTROMETER FOR ATMOSPHERIC CHARTOGRAPHY; SCIAMACHY;

METHANE;

ATMOSPHERIC CHEMISTRY; ATMOSPHERIC MODELING; COMPARATIVE STUDY; ERROR CORRECTION; FTIR SPECTROSCOPY; GOSAT; IN SITU MEASUREMENT; INVERSE ANALYSIS; METHANE; SCIAMACHY; SOURCE-SINK DYNAMICS; SOUTHERN HEMISPHERE;

EID: 84888183101     PISSN: None     EISSN: 21698996     Source Type: Journal    
DOI: 10.1002/2013JD019760     Document Type: Article

References (74)

1. Bange, H. W., T. G. Bell, M. Cornejo, A. Freing, G. Uher, R. C. Upstill-Goddard, and, G. Zhang, (2009), MEMENTO: A proposal to develop a database of marine nitrous oxide and methane measurements, Environ. Chem., 6, 195-197.
2. 2, Atmos. Chem. Phys. Disc., 13, 4535-4600.
3. Bergamaschi, P., et al. (2009), Inverse modeling of global and regional CH4 emissions using SCIAMACHY satellite retrievals, J. Geophys. Res., 114, D22301, doi: 10.1029/2009JD012287.
4. Bousquet, P., et al. (2006), Contribution of anthropogenic and natural sources to atmospheric methane variability, Nature, 443, 439-443.
5. Bousquet, P., et al. (2010), Source attribution of the changes in atmospheric methane for 2006-2008, Atmos. Chem. Phys. Discuss., 10, 27,603-27,630.
6. Buchwitz, M., et al. (2005), Atmospheric methane and carbon dioxide from SCIAMACHY satellite data: Initial comparison with chemistry and transport models, Atmos. Chem. Phys., 5, 941-962.
7. 4 retrievals from space-based solar backscatter measurements: Performance evaluation against simulated aerosol and cirrus loaded scenes, J. Geophys. Res., 115, D24302, doi: 10.1029/2010JD014514.
8. 4 observations from GOSAT, Geophys. Res. Lett., 38, L14812, doi: 10.1029/2011GL047888.
9. Crevoisier, C., D. Nobileau, A. M. Fiore, R. Armante, A. Chédin, and, N. A. Scott, (2009), Tropospheric methane in the tropics-First year from IASI hyperspectral infrared observations, Atmos. Chem. Phys., 9, 6337-6350.
10. Crutzen, P. J., R. Hein, and, M. Heimann, (1997), An inverse modeling approach to investigate the global atmospheric methane cycle, Global Biogeochem. Cycles, 11, 43-76.
11. Dee, D. P., et al. (2011), The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. R. Meteorol. Soc., 137, 553-597, doi: 10.1002/qj.828.
12. Denman, K. L., et al. (2007), Couplings between changes in the climate system and biogeochemistry, in Climate Change 2007: The Physical Science Basis. Contribution of the Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by, S. Solomon, et al., 996 pp., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
13. Dentener, F., M. van Weele, M. Krol, S. Houweling, and, P. van Velthoven, (2003), Trends and inter-annual variability of methane emissions derived from 1979-1993 global CTM simulations, Atmos. Chem. Phys., 3, 73-88.
14. Dlugokencky, E. J., P. M. Lang, A. M. Crotwell, K. A. Masarie, and, M. J. Crotwell, (2013), Atmospheric Methane Dry Air Mole Fractions from the NOAA ESRL Carbon Cycle Cooperative Global Air Sampling Network, 1983-2012, Version: 2013-08-28. Path: ftp://aftp.cmdl.noaa.gov/data/trace-gases/ch4/flask/surface/.
15. Dlugokencky, E. J., S. Houweling, L. Bruhwiler, K. A. Masarie, P. M. Lang, J. B. Miller, and, P. P. Tans, (2003), Atmospheric methane levels off: Temporary pause or a new steady-state?, Geophys. Res. Lett., 30, 1992, doi: 10.1029/2003GL018126.
16. 13C-labelling approach, The New Phytologist, 175, 29-35.
17. Errico, R. M., (1997), What is an adjoint model?, Bull. Amer. Meteorol. Soc., 78, 2577-2591.
18. Etiope, G., and, R. W. Klusman, (2002), Geologic emissions of methane to the atmosphere, Chemosphere, 49, 777-789.
19. Etiope, G., and, A. V. Milkov, (2004), A new estimate of global methane flux from onshore and shallow submarine mud volcanoes to the atmosphere, Environ. Geol., 46, 997-1002.
20. Etiope, G., K. R. Lassey, R. W. Klusman, and, E. Boschi, (2008), Reappraisal of the fossil methane budget and related emission from geologic sources, Geophys. Res. Lett., 35, L09307, doi: 10.1029/2008GL033623.
21. Fisher, M., and, D. J. Lary, (1995), Lagrangian four-dimensional variational data assimilation of chemical species, Q. J. R. Meteorol. Soc., 121, 1681-1704.
22. Forster, F., et al. (2007), Changes in atmospheric constituents and in radiative forcing, in Climate Change 2007: The Physical Science Basis. Contribution of the Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by, S. Solomon, et al., p. 212, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
23. Francey, R. J., L. P. Steele, R. L. Langenfelds, and, B. C. Pak, (1999), High precision long-term monitoring of radiatively active and related trace gases at surface sites and from Aircraft in the Southern Hemisphere Atmosphere, J. Atmos. Sci., 56, 279-285.
24. Frankenberg, C., J. F. Meirink, M. van Weele, U. Platt, and, T. Wagner, (2005a), Assessing methane emissions from global space-borne observations, Science, 308, 1010-1014.
25. 2 retrieval from near infrared spectra of SCIAMACHY onboard ENVISAT, Atmos. Chem. Phys., 5, 9-22.
26. Frankenberg, C., I. Aben, P. Bergamaschi, E. J. Dlugokencky, R. van Hees, S. Houweling, P. van der Meer, R. Snel, and, P. Tol, (2011), Global column-averaged methane mixing ratios from 2003 to 2009 as derived from SCIAMACHY: Trends and variability, J. Geophys. Res., 116, D04302, doi: 10.1029/2010JD014849.
27. Frankenberg, C., P. Bergamaschi, A. Butz, S. Houweling, J. F. Meirink, J. Notholt, A. K. Petersen, H. Schrijver, T. Warneke, and, I. Aben, (2008), Tropical methane emissions: A revised view from SCIAMACHY onboard ENVISAT, Geophys. Res. Lett., 35, L15811, doi: 10.1029/2008GL034300.
28. Fraser, A., et al. (2012), Estimating regional methane surface fluxes: The relative importance of surface and GOSAT mole fraction measurements, Atmos. Chem. Phys. Disc., 12, 30,989-31,030.
29. Hansen, J., M. Sato, R. Ruedy, A. Lacis, and, V. Oinas, (2000), Global warming in the twenty-first century: An alternative scenario, P. Natl. Acad. Sci. USA, 97, 9875-9880.
30. Hein, R., P. J. Crutzen, and, M. Heimann, (1997), An inverse modeling approach to investigate the global atmospheric methane cycle, Global Biogeochem. Cycles, 11, 43-76.
31. Höglund-Isaksson, L., (2012), Global anthropogenic methane emissions 2005-2030: Technical mitigation potentials and costs, Atmos. Chem. Phys. Disc., 12, 11,275-11,315.
32. Hooghiemstra, P. B., M. C. Krol, J. F. Meirink, P. Bergamaschi, G. R. van der Werf, P. C. Novelli, I. Aben, and, T. Röckmann, (2011), Optimizing global CO emission estimates using a four-dimensional variational data assimilation system and surface network observations, Atmos. Chem. Phys., 11, 4705-4723.
33. Hooghiemstra, P. B., M. C. Krol, P. Bergamaschi, A. T. J. de Laat, G. R. van der Werf, P. C. Novelli, M. N. Deeter, I. Aben, and, T. Röckmann, (2012), Comparing optimized CO emission estimates using MOPITT or NOAA surface network observations, J. Geophys. Res., 117, D06309, doi: 10.1029/2011JD017043.
34. Houweling, S., T. Kaminski, F. Dentener, J. Lelieveld, and, M. Heimann, (1999), Inverse modeling of methane sources and sinks using the adjoint of a global transport model, J. Geophys. Res., 104, 26,137-26,160.
35. Jones, D. B. A., A. E. Andrews, H. R. Schneider, and, M. B. McElroy, (2001), Constraints on meridional transport in the stratosphere imposed by the mean age of air in the lower stratosphere, J. Geophys. Res., 106, 10,243-10,256.
36. Keppler, F., J. T. G. Hamilton, M. Brass, and, T. Röckmann, (2006), Methane emissions from terrestrial plants under aerobic conditions, Nature, 439, 187-191.
37. Keppler, F., M. Boros, C. Frankenberg, J. Lelieveld, A. McLeod, A. M. Pirttilä, T. Röckmann, and, J. -P. Schnitzler, (2009), Methane formation in aerobic environments, Environ. Chem., 6, 459-465.
38. Kvenvolden, K. A., and, B. W. Rogers, (2005), Gaia's breath-Global methane exhalations, Mar. Petrol. Geol., 22, 579-590.
39. Lanczos, C., (1950), An iteration method for the solution of the eigenvalue problem of linear differential and integral operators, J. Res. Nat. Bur. Stand., 45, 255-282.
40. 4 and CO, J. Geophys. Res., 98, 18,401-18,412.
41. Matthews, E., and, I. Fung, (1987), Methane emissions from natural wetlands: Global distribution, area and environmental characteristics of sources, Global Biogeochem. Cycles, 1, 61-86.
42. Meirink, J. F., H. J. Eskes, and, A. P. H. Goede, (2006), Sensitivity analysis of methane emissions derived from SCIAMACHY observations through inverse modelling, Atmos. Chem. Phys., 6, 1275-1292.
43. Meirink, J. F., P. Bergamaschi, and, M. C. Krol, (2008a), Four-dimensional variational data assimilation for inverse modelling of atmospheric methane emissions: Method and comparison with synthesis inversion, Atmos. Chem. Phys., 8, 6341-6353.
44. Meirink, J. F., et al. (2008b), Four-dimensional variational data assimilation for inverse modeling of atmospheric methane emissions: Analysis of SCIAMACHY observations, J. Geophys. Res., 113, D17301, doi: 10.1029/ 2007JD009740.
45. 4 fluxes from geographical regions, Global Biogeochem. Cycles, 18, GB4005, doi: 10.1029/2004GB002224.
46. Montzka, S. A., M. Krol, E. Dlugokencky, B. Hall, P. Jöckel, and, J. Lelieveld, (2011), Small interannual variability of global atmospheric hydroxyl, Science, 331, 67-69.
47. Nisbet, R. E. R., et al. (2009), Emission of methane from plants, P. Roy. Soc. B-Biol. Sci., 276, 1347-1354.
48. Parker, R., et al. (2011), Methane observations from the Greenhouse Gases Observing SATellite: Comparison to ground-based TCCON data and model calculations, Geophys. Res. Lett., 38, L15807, doi: 10.1029/2011GL047871.
49. Parrish, D. D., and, J. C. Derber, (1992), The National Meteorological Center's spectral statistical-interpolation analysis system, Mon. Weather Rev., 120, 1747-1763.
50. 4 variability in the troposphere and lower stratosphere, Atmos. Chem. Phys., 11, 12,813-12,837.
51. Peters, W., et al. (2007), An atmospheric perspective on North American carbon dioxide exchange: CarbonTracker, P. Natl. Acad. Sci. USA, 104, 18,925-18,930.
52. Peters, W., et al. (2010), Seven years of recent European net terrestrial carbon dioxide exchange constrained by atmospheric observations, Global Change Biology, 16, 1317-1337, doi: 10.1111/j.1365-2486.2009.02078.x.
53. Prather, M., M. McElroy, S. Wofsy, G. Russel, and, D. Rind, (1987), Chemistry of the global troposphere: Fluorocarbons as tracers of air motion, J. Geophys. Res., 92, 6579-6613.
54. Querino, C. A. S., C. J. P. P. Smeets, I. Vigano, R. Holzinger, V. Moura, L. V. Gatti, A. Martinewski, A. O. Manzi, A. C. de Araújo, and, T. Röckmann, (2011), Methane flux, vertical gradient and mixing ratio measurements in a tropical forest, Atmos. Chem. Phys., 11, 7943-7953.
55. 2O observed in UARS HALOE data, J. Atmos. Sci., 55, 163-185.
56. Razavi, A., C. Clerbaux, C. Wespes, L. Clarisse, D. Hurtmans, S. Payan, C. Camy-Peyret, and, P. F. Coheur, (2009), Characterization of methane retrievals from the IASI space-borne sounder, Atmos. Chem. Phys., 9, 7889-7899.
57. Rigby, M., et al. (2008), Renewed growth of atmospheric methane, Geophys. Res. Lett., 35, L22805, doi: 10.1029/2008GL036037.
58. Schepers, D., et al. (2012), Methane retrievals from Greenhouse Gases Observing Satellite (GOSAT) shortwave infrared measurements: Performance comparison of proxy and physics retrieval algorithms, J. Geophys. Res., 117, D10307, doi: 10.1029/2012JD017549.
59. Schneising, O., M. Buchwitz, J. P. Burrows, H. Bovensmann, P. Bergamaschi, and, W. Peters, (2009), Three years of greenhouse gas column-averaged dry air mole fractions retrieved from satellite-Part 2: Methane, Atmos. Chem. Phys., 9, 443-465.
60. Shakhova, N., I. Semiletov, A. Salyuk, V. Yusupov, D. Kosmach, and, O. Gustafsson, (2010), Extensive methane venting to the atmosphere from sediments of the East Siberian Arctic Shelf, Science, 327, 1246-1250.
61. Shindell, D., et al. (2012), Simultaneously mitigating near-term climate change and improving human health and food security, Science, 335, 183-189.
62. Spahni, R., et al. (2011), Constraining global methane emissions and uptake by ecosystems, Biogeosciences, 8, 1643-1665.
63. Spivakovsky, C. M., et al. (2000), Three-dimensional climatological distribution of tropospheric OH: Update and evaluation, J. Geophys. Res., 105, 8931-8980, doi: 10.1029/1999JD901006.
64. Talagrand, O., and, P. Courtier, (1987), Variational assimilation of meteorological observations with the adjoint vorticity equation. I Theory, Q. J. R. Meteorol. Soc., 113, 1311-1328.
65. Velders, G., (1995), Description of the RIVM 2-dimensional stratosphere model, RIVM Report 722201002, Netherlands Participating Organizations, The Netherlands.
66. Vigano, I., (2010), Aerobic methane production from organic matter, Ph.D. thesis, Faculty of Science, Utrecht University.
67. 4 emissions: Sensitivity to the observational network, Atmos. Chem. Phys., 10, 1249-1267.
68. Wang, J. S., J. A. Logan, and, M. B. McElroy, (2004), A 3-D model analysis of the slowdown and interannual variability in the methane growth rate from 1988 to 1997, Global Biogeochem. Cycles, 18, GB3011, doi: 10.1029/2003GB002180.
69. Wecht, K. J., D. J. Jacob, S. C. Wofsy, E. a. Kort, J. R. Worden, S. S. Kulawik, D. K. Henze, M. Kopacz, and, V. H. Payne, (2012), Validation of TES methane with HIPPO aircraft observations: Implications for inverse modeling of methane sources, Atmos. Chem. Phys., 12, 1823-1832.
70. Wofsy, S. C., (2011), HIAPER Pole-to-Pole Observations (HIPPO): Fine-grained, global-scale measurements of climatically important atmospheric gases and aerosols, Philos. T. R. Soc. A, 369, 2073-2086.
71. Wunch, D., et al. (2010), Calibration of the total carbon column observing network using aircraft profile data, Atmos. Meas. Tech., 3, 1351-1362.
72. Xiong, X., C. Barnet, E. Maddy, C. Sweeney, X. Liu, L. Zhou, and, M. Goldberg, (2008), Characterization and validation of methane products from the Atmospheric Infrared Sounder (AIRS), J. Geophys. Res., 113, G00A01, doi: 10.1029/2007JG000500.
73. Xiong, X., C. D. Barnet, Q. Zhuang, T. Machida, C. Sweeney, and, P. K. Patra, (2010), Mid-upper tropospheric methane in the high Northern Hemisphere: Spaceborne observations by AIRS, aircraft measurements, and model simulations, J. Geophys. Res., 115, D19309, doi: 10.1029/2009JD013796.
74. 4 column abundances from short-wavelength infrared spectral observations by the Greenhouse gases observing satellite, Atmos. Meas. Tech., 4, 717-734.