Abstract

Abstract. Megacities are major sources of anthropogenic fossil fuel CO2 (FFCO2) 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 CO2 emissions over the Los Angeles (LA) megacity area. The Weather Research and Forecasting (WRF)-Chem model was coupled to a very high-resolution FFCO2 emission product, Hestia-LA, to simulate atmospheric CO2 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 CO2 emission products to evaluate the impact of the spatial resolution of the CO2 emission products and the meteorological transport model on the representation of spatiotemporal variability in simulated atmospheric CO2 concentrations. We find that high spatial resolution in the fossil fuel CO2 emissions is more important than in the atmospheric model to capture CO2 concentration variability across the LA megacity. Finally, we present a novel approach that employs simultaneous correlations of the simulated atmospheric CO2 fields to qualitatively evaluate the greenhouse gas measurement network over the LA megacity. Spatial correlations in the atmospheric CO2 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 CO2 concentrations over the LA megacity are composed of multiple fine-scale plumes rather than a single homogenous urban dome. Furthermore, we conclude that FFCO2 emissions monitoring in the LA megacity requires FFCO2 emissions modelling with ∼ 1 km resolution because coarser-resolution emissions modelling tends to overestimate the observational constraints on the emissions estimates.

Highlights

  • Carbon dioxide (CO2) is a major anthropogenic contributor to climate change

  • 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

  • A set of Weather Research and Forecasting (WRF) configurations varying by planetary boundary layer (PBL) scheme, urban surface scheme, and model resolution has been evaluated by comparing the PBL height determined by aircraft profiles and ceilometer, wind speed and wind direction measured by radar wind profiler, and surface atmospheric states measured by NWS stations

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Summary

Introduction

Carbon dioxide (CO2) is a major anthropogenic contributor to climate change. It has increased from its preindustrial (1750) level of 278 ± 2 ppm (Etheridge et al, 1996) to over 400 ppm in recent years, as reported by the National Oceanic and Atmospheric Administration (NOAA) and Scripps Institution of Oceanography (http://CO2now.org/). We couple the Weather Research and Forecasting (WRF)-Chem model to a high-resolution FFCO2 emission product, Hestia-LA, to study the spatiotemporal variability of urban CO2 concentrations over the LA megacity. In the present study we focus on three critical aspects of the WRF model configuration – the PBL scheme, the urban surface scheme, and the model spatial resolution – as well as the effects of the FFCO2 emissions product spatial resolution Through these four aspects, the impacts of physical representation errors and emission aggregation errors on the modelled CO2 concentrations across the LA megacity are investigated. The LA measurement network consists of 14 observation sites designed to provide continuous atmospheric CO2 concentrations to assess the anthropogenic carbon emissions distribution and trends.

Modelling framework
WRF model setup
Configuration for the CO2 simulation
Model–data comparison
Comparison to aircraft PBL height
Comparison to ceilometer PBL height
Comparison to radar wind profiler
Comparison to NWS surface stations
Comparisons to in situ CO2
Comparisons to flask-sampled CO2
Spatial pattern of the surface CO2
Sampling density of the 2015-era GHG measurement network
Discussion
Findings
Conclusions
9040 Appendix A
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