Seasonal variations in N2O emissions from central California

Geophysical Research Letters

Volumn 39, Issue 16, 2012, Pages

  Jeong, Seongeun ^a   Zhao, Chuanfeng ^a,b   Andrews, Arlyn E ^c   Dlugokencky, Edward J ^c   Sweeney, Colm ^c,d   Bianco, Laura ^c,d   Wilczak, James M ^c   Fischer, Marc L ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^c EARTH SYSTEM RESEARCH LABORATORY   (United States)

^d UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC MOVEMENTS; GREENHOUSE GASES; NITROGEN OXIDES; REGRESSION ANALYSIS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WEATHER FORECASTING;

ATMOSPHERIC PARTICLES; EMISSION INVENTORIES; EMISSION MODEL; INVERSE ANALYSIS; LAGRANGIAN TRANSPORT; SEASONAL VARIATION; TRANSPORT MODELING; WEATHER RESEARCH AND FORECASTING;

GAS EMISSIONS;

ATMOSPHERIC MODELING; ATMOSPHERIC POLLUTION; ATMOSPHERIC TRANSPORT; BAYESIAN ANALYSIS; EMISSION INVENTORY; GREENHOUSE GAS; LAGRANGIAN ANALYSIS; MIXING RATIO; NITROUS OXIDE; PREDICTION; REGRESSION ANALYSIS; SEASONAL VARIATION; SPATIAL DISTRIBUTION; WEATHER FORECASTING;

CALIFORNIA; UNITED STATES;

JUGLANS;

EID: 84865772638     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2012GL052307     Document Type: Article

References (22)

1. Bergamaschi, P., M. Krol, F. Dentener, A. Vermeulen, F. Meinhardt, R. Graul, M. Ramonet, W. Peters, and E. J. Dlugokencky (2005), Inverse modelling of national and European CH4 emissions using the atmospheric zoom model TM5, Atmos. Chem. Phys., 5, 2431-2460, doi:10.5194/acp-5-2431-2005. (Pubitemid 41479780)
2. California Air Resources Board (CARB) (2012), California greenhouse gas emission inventory, report, Sacramento, Calif. [Available at http://www. arb.ca.gov/cc/inventory/inventory.htm.]
3. Corazza, M., et al. (2011), Inverse modelling of European N2O emissions: Assimilating observations from different networks, Atmos. Chem. Phys., 11, 2381-2398, doi:10.5194/acp-11-2381-2011.
4. Gerbig, C., J. Lin, S. Wofsy, B. Daube, A. E. Andrews, B. Stephens, P. S. Bakwin, and C. Grainger (2003), Toward constraining regional-scale fluxes of CO2 with atmospheric observations over a continent: 2. Analysis of COBRA data using a receptor-oriented framework, J. Geophys. Res., 108(D24), 4757, doi:10.1029/2003JD003770.
5. Göckede, M., A. M. Michalak, D. Vickers, D. P. Turner, and B. E. Law (2010), Atmospheric inverse modeling to constrain regional-scale CO2 budgets at high spatial and temporal resolution, J. Geophys. Res., 115, D15113, doi:10.1029/2009JD012257.
6. Hall, B. D., G. S. Dutton, and J. W. Elkins (2007), The NOAA nitrous oxide standard scale for atmospheric observations, J. Geophys. Res., 112, D09305, doi:10.1029/2006JD007954. (Pubitemid 47009864)
7. Hirsch, A. I., A. M. Michalak, L. M. Bruhwiler, W. Peters, E. J. Dlugokencky, and P. P. Tans (2006), Inverse modeling estimates of the global nitrous oxide surface flux from 1998-2001, Global Biogeochem. Cycles, 20, GB1008, doi:10.1029/2004GB002443. (Pubitemid 43731247)
8. Hofmann, D. J., J. H. Butler, E. J. Dlugokencky, J. W. Elkins, K. Masarie, S. A. Montzka, and P. Tans (2006), The role of carbon dioxide in climate forcing from 1979-2004: Introduction of the Annual Greenhouse Gas Index, Tellus, Ser. B, 58, 614-619, doi:10.1111/j.1600-0889. 2006.00201.x. (Pubitemid 44575833)
9. Huang, J., et al. (2008), Estimation of regional emissions of nitrous oxide from 1997 to 2005 using multinetwork measurements, a chemical transport model, and an inverse method, J. Geophys. Res., 113, D17313, doi:10.1029/2007JD009381.
10. Intergovernmental Panel on Climate Change (1995), Climate Change 1995: The Science of Climate Change. Contribution of Working Group I to the Second Assessment Report of the Intergovernmental Panel on Climate Change, edited by J. T. Houghton et al., Cambridge Univ. Press, Cambridge, U. K.
11. Jeong, S., C. Zhao, A. E. Andrews, L. Bianco, J. M. Wilczak, and M. L. Fischer (2012), Seasonal variation of CH4 emissions from central California, J. Geophys. Res., 117, D11306, doi:10.1029/2011JD016896.
12. Kort, E. A., J. Eluszkiewicz, B. B. Stephens, J. B. Miller, C. Gerbig, T. Nehrkorn, B. C. Daube, J. O. Kaplan, S. Houweling, and S. C. Wofsy (2008), Emissions of CH4 and N2O over the United States and Canada based on a receptor-oriented modeling framework and COBRA-NA atmospheric observations, Geophys. Res. Lett., 35, L18808, doi:10.1029/2008GL034031.
13. Lin, J. C., and C. Gerbig (2005), Accounting for the effect of transport errors on tracer inversions, Geophys. Res. Lett., 32, L01802, doi:10.1029/2004GL021127. (Pubitemid 40472994)
14. Lin, J. C., C. Gerbig, S. C. Wofsy, A. E. Andrews, B. C. Daube, K. J. Davis, and C. A. Grainger (2003), A near-field tool for simulating the upstream influence of atmospheric observations: The Stochastic Time-Inverted Lagrangian Transport (STILT) model, J. Geophys. Res., 108(D16), 4493, doi:10.1029/ 2002JD003161.
15. Montzka, S. A., E. J. Dlugokencky, and J. H. Butler (2011), Non-CO2 greenhouse gases and climate change, Nature, 476, 43-50, doi:10.1038/ nature10322.
16. Nehrkorn, T., J. Eluszkiewicz, S. C. Wofsy, J. C. Lin, C. Gerbig, M. Longo, and S. Freitas (2010), Coupled weather research and forecasting- stochastic time-inverted Lagrangian transport (WRF-STILT) model, Meteorol. Atmos. Phys., 107(1-2), 51-64, doi:10.1007/s00703-010-0068-x.
17. Olivier, J. G. J., J. A. Van Aardenne, F. Dentener, L. Ganzeveld, and J. A. H. W. Peters (2005), Recent trends in global greenhouse gas emissions: Regional trends and spatial distribution of key sources, in Non-CO2 Greenhouse Gases (NCGG-4), edited by A. van Amstel, pp. 325-330, Millpress, Rotterdam, Netherlands.
18. Park, S., et al. (2012), Trends and seasonal cycles in the isotopic composition of nitrous oxide since 1940, Nat. Geosci., 5, 261-265, doi:10.1038/ngeo1421.
19. Press, W. H., S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery (1992), Numerical Recipes in FORTRAN, 2nd ed., Cambridge Univ. Press, Cambridge, U. K.
20. Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, W. Wang, and J. G. Powers (2005), A description of the advanced research WRF version 2, NCAR Tech. Note 468+STR, Natl. Cent. for Atmos. Res., Boulder, Colo.
21. Tarantola, A. (1987), Inverse Problem Theory Methods for Data Fitting and Model Parameter Estimation, 613 pp., Elsevier, New York.
22. Zhao, C., A. E. Andrews, L. Bianco, J. Eluszkiewicz, A. Hirsch, C. MacDonald, T. Nehrkorn, and M. L. Fischer (2009), Atmospheric inverse estimates of methane emissions from central California, J. Geophys. Res., 114, D16302, doi:10.1029/2008JD011671.