Sha Feng , Thomas Lauvaux , Sally Newman , Preeti Rao , Ravan Ahmadov , Aijun Deng , Liza I. Díaz-Isaac , Riley M. Duren , Marc L. Fischer , Christoph Gerbig , Kevin R. Gurney , Jianhua Huang , Seongeun Jeong , Zhijin Li , Charles E. Miller , Darragh O'Keeffe , Risa Patarasuk , Stanley P. Sander , Yang Song , Kam W. Wong , Yuk L. Yung
July 22 2016
Megacities are major sources of anthropogenic fossil fuel CO<sub>2</sub> (FFCO<sub>2</sub>) emissions. The spatial extents of these large urban systems cover areas of 10 000 km<sup>2</sup> or more with complex topography and changing landscapes. We present a high-resolution land–atmosphere modelling system for urban CO<sub>2</sub> emissions over the Los Angeles (LA) megacity area. The Weather Research and Forecasting (WRF)-Chem model was coupled to a very high-resolution FFCO<sub>2</sub> emission product, Hestia-LA, to simulate atmospheric CO<sub>2</sub> concentrations across the LA megacity at spatial resolutions as fine as ∼ 1 km. We evaluated multiple WRF configurations, selecting one that minimized errors in wind speed, wind direction, and boundary layer height as evaluated by its performance against meteorological data collected during the CalNex-LA campaign (May–June 2010). Our results show no significant difference between moderate-resolution (4 km) and high-resolution (1.3 km) simulations when evaluated against surface meteorological data, but the high-resolution configurations better resolved planetary boundary layer heights and vertical gradients in the horizontal mean winds. We coupled our WRF configuration with the Vulcan 2.2 (10 km resolution) and Hestia-LA (1.3 km resolution) fossil fuel CO<sub>2</sub> emission products to evaluate the impact of the spatial resolution of the CO<sub>2</sub> emission products and the meteorological transport model on the representation of spatiotemporal variability in simulated atmospheric CO<sub>2</sub> concentrations. We find that high spatial resolution in the fossil fuel CO<sub>2</sub> emissions is more important than in the atmospheric model to capture CO<sub>2</sub> concentration variability across the LA megacity. Finally, we present a novel approach that employs simultaneous correlations of the simulated atmospheric CO<sub>2</sub> fields to qualitatively evaluate the greenhouse gas measurement network over the LA megacity. Spatial correlations in the atmospheric CO<sub>2</sub> fields reflect the coverage of individual measurement sites when a statistically significant number of sites observe emissions from a specific source or location. We conclude that elevated atmospheric CO<sub>2</sub> concentrations over the LA megacity are composed of multiple fine-scale plumes rather than a single homogenous urban dome. Furthermore, we conclude that FFCO<sub>2</sub> emissions monitoring in the LA megacity requires FFCO<sub>2</sub> emissions modelling with ∼ 1 km resolution because coarser-resolution emissions modelling tends to overestimate the observational constraints on the emissions estimates.