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  • Atmospheric Composition and Structure: Biosphere/atmosphere interactions
  • Atmospheric Composition and Structure: Pollution: urban and regional
  • Biogeosciences: Carbon cycling
  • Biogeosciences: Isotopic composition and chemistry
  • Global Change: Biogeochemical cycles, processes, and modeling
Abstract
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Abstract

Where do fossil fuel carbon dioxide emissions from California go? An analysis based on radiocarbon observations and an atmospheric transport model

W. J. Riley

Earth Sciences Division, E. O. Lawrence Berkeley National Laboratory, Berkeley, California, USA

D. Y. Hsueh

Earth System Science Department, University of California, Irvine, California, USA

J. T. Randerson

Earth System Science Department, University of California, Irvine, California, USA

M. L. Fischer

Energy and Environment Division, E. O. Lawrence Berkeley National Laboratory, Berkeley, California, USA

J. G. Hatch

Brightworks LLC, Portland, Oregon, USA

D. E. Pataki

Earth System Science Department, University of California, Irvine, California, USA

W. Wang

Department of Ecology and Evolutionary Biology, University of California, Irvine, California, USA

M. L. Goulden

Earth System Science Department, University of California, Irvine, California, USA

Characterizing flow patterns and mixing of fossil fuel-derived CO2 is important for effectively using atmospheric measurements to constrain emissions inventories. Here we used measurements and a model of atmospheric radiocarbon (14C) to investigate the distribution and fluxes of atmospheric fossil fuel CO2 across the state of California. We sampled 14C in annual C3 grasses at 128 sites and used these measurements to test a regional model that simulated anthropogenic and ecosystem CO2 fluxes, transport in the atmosphere, and the resulting Δ14C of annual grasses (Δ g ). Average measured Δ g levels in Los Angeles, San Francisco, the Central Valley, and the North Coast were 27.7 ± 20.0, 44.0 ± 10.9, 48.7 ± 1.9, and 59.9 ± 2.5‰, respectively, during the 2004–2005 growing season. Model predictions reproduced regional patterns reasonably well, with estimates of 27.6 ± 2.4, 39.4 ± 3.9, 46.8 ± 3.0, and 59.3 ± 0.2‰ for these same regions and corresponding to fossil fuel CO2 mixing ratios (C f ) of 13.7, 6.1, 4.8, and 0.3 ppm. Δ g spatial heterogeneity in Los Angeles and San Francisco was higher in the measurements than in the predictions, probably from insufficient spatial resolution in the fossil fuel inventories (e.g., freeways are not explicitly included) and transport (e.g., within valleys). We used the model to predict monthly and annual transport patterns of fossil fuel-derived CO2 within and out of California. Fossil fuel CO2 emitted in Los Angeles and San Francisco was predicted to move into the Central Valley, raising C f above that expected from local emissions alone. Annually, about 21, 39, 35, and 5% of fossil fuel emissions leave the California airspace to the north, east, south, and west, respectively, with large seasonal variations in the proportions. Positive correlations between westward fluxes and Santa Ana wind conditions were observed. The southward fluxes over the Pacific Ocean were maintained in a relatively coherent flow within the marine boundary layer, while the eastward fluxes were more vertically dispersed. Our results indicate that state and continental scale atmospheric inversions need to consider areas where mixing ratio measurements are sparse (e.g., over the ocean to the south and west of California), transport within and across the marine boundary layer, and terrestrial boundary layer dynamics. Radiocarbon measurements can be very useful in constraining these estimates.

Received 17 October 2007; accepted 7 July 2008; published 7 October 2008.

Citation: Riley, W. J., D. Y. Hsueh, J. T. Randerson, M. L. Fischer, J. G. Hatch, D. E. Pataki, W. Wang, and M. L. Goulden (2008), Where do fossil fuel carbon dioxide emissions from California go? An analysis based on radiocarbon observations and an atmospheric transport model, J. Geophys. Res., 113, G04002, doi:10.1029/2007JG000625.

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