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Title: Assessing fossil fuel CO 2 emissions in California using atmospheric observations and models

Abstract

Analysis systems incorporating atmospheric observations could provide a powerful tool for validating fossil fuel CO 2(ffCO 2) emissions reported for individual regions, provided that fossil fuel sources can be separated from other CO 2 sources or sinks and atmospheric transport can be accurately accounted for. We quantified ffCO 2 by measuring radiocarbon ( 14C) in CO 2, an accurate fossil-carbon tracer, at nine observation sites in California for three months in 2014-15. There is strong agreement between the measurements and ffCO 2 simulated using a high-resolution atmospheric model and a spatiotemporally-resolved fossil fuel flux estimate. Inverse estimates of total in-state ffCO 2 emissions are consistent with the California Air Resources Board's reported ffCO 2 emissions, providing tentative validation of California's reported ffCO 2 emissions in 2014-15. Continuing this prototype analysis system could provide critical independent evaluation of reported ffCO 2 emissions and emissions reductions in California, and the system could be expanded to other, more data-poor regions.

Authors:
ORCiD logo [1];  [2];  [3];  [2];  [4];  [3];  [5];  [1];  [6];  [2];  [7];  [8];  [5];  [9];  [5];  [10];  [11];  [3]; ORCiD logo [12];  [6] more »;  [3] « less
  1. Imperial College, London (United Kingdom)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Univ. of California, San Diego, CA (United States)
  4. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  5. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  6. Earth Networks, Germantown, MD (United States)
  7. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  8. Arizona State Univ., Tempe, AZ (United States)
  9. Univ. of Colorado, Boulder, CO (United States)
  10. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
  11. California Inst. of Technology (CalTech), Pasadena, CA (United States); Bay Area Air Quality Management District, San Francisco, CA (United States)
  12. Jet Propulsion Lab., Pasadena, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1461158
Alternate Identifier(s):
OSTI ID: 1476934
Report Number(s):
SAND-2018-9964J
Journal ID: ISSN 1748-9326; ark:/13030/qt2024m44k
Grant/Contract Number:  
AC02-05CH11231; AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Environmental Research Letters
Additional Journal Information:
Journal Volume: 13; Journal Issue: 6; Related Information: © 2018 The Author(s). Published by IOP Publishing Ltd.; Journal ID: ISSN 1748-9326
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; carbon dioxide; fossil fuel emissions; California; atmospheric inversion; radiocarbon

Citation Formats

Graven, H., Fischer, M. L., Lueker, T., Jeong, S., Guilderson, T. P., Keeling, R. F., Bambha, R., Brophy, K., Callahan, W., Cui, X., Frankenberg, C., Gurney, K. R., LaFranchi, B. W., Lehman, S. J., Michelsen, H., Miller, J. B., Newman, S., Paplawsky, W., Parazoo, N. C., Sloop, C., and Walker, S. J. Assessing fossil fuel CO2 emissions in California using atmospheric observations and models. United States: N. p., 2018. Web. doi:10.1088/1748-9326/aabd43.
Graven, H., Fischer, M. L., Lueker, T., Jeong, S., Guilderson, T. P., Keeling, R. F., Bambha, R., Brophy, K., Callahan, W., Cui, X., Frankenberg, C., Gurney, K. R., LaFranchi, B. W., Lehman, S. J., Michelsen, H., Miller, J. B., Newman, S., Paplawsky, W., Parazoo, N. C., Sloop, C., & Walker, S. J. Assessing fossil fuel CO2 emissions in California using atmospheric observations and models. United States. doi:10.1088/1748-9326/aabd43.
Graven, H., Fischer, M. L., Lueker, T., Jeong, S., Guilderson, T. P., Keeling, R. F., Bambha, R., Brophy, K., Callahan, W., Cui, X., Frankenberg, C., Gurney, K. R., LaFranchi, B. W., Lehman, S. J., Michelsen, H., Miller, J. B., Newman, S., Paplawsky, W., Parazoo, N. C., Sloop, C., and Walker, S. J. Thu . "Assessing fossil fuel CO2 emissions in California using atmospheric observations and models". United States. doi:10.1088/1748-9326/aabd43. https://www.osti.gov/servlets/purl/1461158.
@article{osti_1461158,
title = {Assessing fossil fuel CO2 emissions in California using atmospheric observations and models},
author = {Graven, H. and Fischer, M. L. and Lueker, T. and Jeong, S. and Guilderson, T. P. and Keeling, R. F. and Bambha, R. and Brophy, K. and Callahan, W. and Cui, X. and Frankenberg, C. and Gurney, K. R. and LaFranchi, B. W. and Lehman, S. J. and Michelsen, H. and Miller, J. B. and Newman, S. and Paplawsky, W. and Parazoo, N. C. and Sloop, C. and Walker, S. J.},
abstractNote = {Analysis systems incorporating atmospheric observations could provide a powerful tool for validating fossil fuel CO2(ffCO2) emissions reported for individual regions, provided that fossil fuel sources can be separated from other CO2 sources or sinks and atmospheric transport can be accurately accounted for. We quantified ffCO2 by measuring radiocarbon (14C) in CO2, an accurate fossil-carbon tracer, at nine observation sites in California for three months in 2014-15. There is strong agreement between the measurements and ffCO2 simulated using a high-resolution atmospheric model and a spatiotemporally-resolved fossil fuel flux estimate. Inverse estimates of total in-state ffCO2 emissions are consistent with the California Air Resources Board's reported ffCO2 emissions, providing tentative validation of California's reported ffCO2 emissions in 2014-15. Continuing this prototype analysis system could provide critical independent evaluation of reported ffCO2 emissions and emissions reductions in California, and the system could be expanded to other, more data-poor regions.},
doi = {10.1088/1748-9326/aabd43},
journal = {Environmental Research Letters},
number = 6,
volume = 13,
place = {United States},
year = {2018},
month = {5}
}

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