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Three month-long campaigns in 2014-2015 collected atmospheric CO2 concentrations, carbon isotopes (d13C and D14C), and fossil fuel CO2 estimates from nine California observation sites. The dataset combines these measurements with simulated ffCO2 from the Vulcan v2.2 emissions inventory and WRF-STILT atmospheric transport model. This synthesis was used in a Bayesian inverse framework to estimate California's fossil fuel CO2 emissions during the study period.
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