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Los Angeles megacity: a high-resolution land-atmosphere modelling system for urban CO2 emissions.

Authors :
Sha Feng
Lauvaux, Thomas
Newman, Sally
Rao, Preeti
Ahmadov, Ravan
Aijun Deng
Díaz-Isaac, Liza I.
Duren, Riley M.
Fischer, Marc L.
Gerbig, Christoph
Gurney, Kevin R.
Jianhua Huang
Seongeun Jeong
Zhijin Li
Miller, Charles E.
O'Keeffe, Darragh
Patarasuk, Risa
Sander, Stanley P.
Yang Song
Wong, Kam W.
Source :
Atmospheric Chemistry & Physics; 2016, Vol. 16 Issue 14, p9019-9045, 27p, 6 Charts, 7 Graphs, 9 Maps
Publication Year :
2016

Abstract

Megacities are major sources of anthropogenic fossil fuel CO<subscript>2</subscript> (FFCO<subscript>2</subscript>) emissions. The spatial extents of these large urban systems cover areas of 10 000 km² or more with complex topography and changing landscapes. We present a high-resolution land-atmosphere modelling system for urban CO<subscript>2</subscript> emissions over the Los Angeles (LA) megacity area. The Weather Research and Forecasting (WRF)-Chem model was coupled to a very high-resolution FFCO<subscript>2</subscript> emission product, Hestia-LA, to simulate atmospheric CO<subscript>2</subscript> 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 highresolution 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<subscript>2</subscript> emission products to evaluate the impact of the spatial resolution of the CO<subscript>2</subscript> emission products and the meteorological transport model on the representation of spatiotemporal variability in simulated atmospheric CO<subscript>2</subscript> concentrations. We find that high spatial resolution in the fossil fuel CO<subscript>2</subscript> emissions is more important than in the atmospheric model to capture CO<subscript>2</subscript> concentration variability across the LA megacity. Finally, we present a novel approach that employs simultaneous correlations of the simulated atmospheric CO<subscript>2</subscript> fields to qualitatively evaluate the greenhouse gas measurement network over the LA megacity. Spatial correlations in the atmospheric CO<subscript>2</subscript> 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<subscript>2</subscript> concentrations over the LA megacity are composed of multiple fine-scale plumes rather than a single homogenous urban dome. Furthermore, we conclude that FFCO<subscript>2</subscript> emissions monitoring in the LA megacity requires FFCO<subscript>2</subscript> emissions modelling with ~1 km resolution because coarser-resolution emissions modelling tends to overestimate the observational constraints on the emissions estimates. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16807316
Volume :
16
Issue :
14
Database :
Complementary Index
Journal :
Atmospheric Chemistry & Physics
Publication Type :
Academic Journal
Accession number :
117147888
Full Text :
https://doi.org/10.5194/acp-16-9019-2016