Southern California Megacity CO2, CH4, and CO flux estimates using remote sensing and a Lagrangian modelстатья

Дата последнего поиска статьи во внешних источниках: 16 января 2019 г.

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[1] Southern california megacity co2, ch4, and co flux estimates using remote sensing and a lagrangian model / J. K. Hedelius, J. Liu, T. Oda et al. // Atmospheric Chemistry and Physics Discussions. — 2018. — P. 1–32. We estimate the overall CO2, CH4, and CO flux from the South Coast Air Basin using an inversion that couples Total Carbon Column Observing Network (TCCON) and Orbiting Carbon Observatory-2 (OCO-2) observations, with the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model, and the Open-source Data Inventory for Anthropogenic CO2 (ODIAC). Using TCCON data we estimate the direct net CO2 flux from the SoCAB to be 139 ± 35 Tg CO2 yr−1 for the study period of July 2013–August 2016. We obtain a slightly lower estimate of 118 ± 29 Tg CO2 yr−1 using OCO-2 data. These CO2 emission estimates are in general agreement with previous work. Our net CH4 (325 ± 81 Gg CH4 yr−1) flux estimate is slightly lower than central values from previous top-down studies going back to 2010 (342–440 Gg CH4 yr−1). CO emissions are estimated at 555 ± 136 Gg CO yr−1, much lower than previous top-down estimates (1440 Gg CO yr−1). Given the decreasing emissions of CO, this finding is not unexpected. We perform sensitivity tests to estimate how much errors in the prior, errors in the covariance, different inversions schemes or a coarser dynamical model influence the emission estimates. Overall, the uncertainty is estimated to be 25 %, with the largest contribution from the dynamical model. The methods described are scalable and can be used to estimate direct net CO2 fluxes from other urban regions. [ DOI ]

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