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

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 ofmore » 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.« less

Authors:
 [1];  [2];  [3];  [3];  [4];  [5];  [5];  [3];  [6];  [7];  [8];  [8];  [6];  [3];  [3];  [8];  [8];  [3];  [8];  [3] more »;  [3] « less
  1. Univ. of California, Los Angeles, CA (United States); California Inst. of Technology (CalTech), Pasadena, CA (United States); Pennsylvania State Univ., University Park, PA (United States)
  2. Pennsylvania State Univ., State College, PA (United States); California Inst. of Technology (CalTech), Pasadena, CA (United States)
  3. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  4. Univ. of Colorado, Boulder, CO (United States); National Oceanic and Atmospheric Administration, Boulder, CO (United States)
  5. Pennsylvania State Univ., State College, PA (United States)
  6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  7. Max Planck Institute for Biogeochemistry, Jena (Germany)
  8. Arizona State Univ., Tempe, AZ (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1415960
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Atmospheric Chemistry and Physics (Online)
Additional Journal Information:
Journal Name: Atmospheric Chemistry and Physics (Online); Journal Volume: 16; Journal Issue: 14; Journal ID: ISSN 1680-7324
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Feng, Sha, Lauvaux, Thomas, Newman, Sally, Rao, Preeti, Ahmadov, Ravan, Deng, Aijun, Diaz-Isaac, Liza I., Duren, Riley M., Fischer, Marc L., Gerbig, Christoph, Gurney, Kevin R., Huang, Jianhua, Jeong, Seongeun, Li, Zhijin, Miller, Charles E., O'Keeffe, Darragh, Patarasuk, Risa, Sander, Stanley P., Song, Yang, Wong, Kam W., and Yung, Yuk L. Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO2 emissions. United States: N. p., 2016. Web. doi:10.5194/acp-16-9019-2016.
Feng, Sha, Lauvaux, Thomas, Newman, Sally, Rao, Preeti, Ahmadov, Ravan, Deng, Aijun, Diaz-Isaac, Liza I., Duren, Riley M., Fischer, Marc L., Gerbig, Christoph, Gurney, Kevin R., Huang, Jianhua, Jeong, Seongeun, Li, Zhijin, Miller, Charles E., O'Keeffe, Darragh, Patarasuk, Risa, Sander, Stanley P., Song, Yang, Wong, Kam W., & Yung, Yuk L. Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO2 emissions. United States. https://doi.org/10.5194/acp-16-9019-2016
Feng, Sha, Lauvaux, Thomas, Newman, Sally, Rao, Preeti, Ahmadov, Ravan, Deng, Aijun, Diaz-Isaac, Liza I., Duren, Riley M., Fischer, Marc L., Gerbig, Christoph, Gurney, Kevin R., Huang, Jianhua, Jeong, Seongeun, Li, Zhijin, Miller, Charles E., O'Keeffe, Darragh, Patarasuk, Risa, Sander, Stanley P., Song, Yang, Wong, Kam W., and Yung, Yuk L. Fri . "Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO2 emissions". United States. https://doi.org/10.5194/acp-16-9019-2016. https://www.osti.gov/servlets/purl/1415960.
@article{osti_1415960,
title = {Los Angeles megacity: a high-resolution land–atmosphere modelling system for urban CO2 emissions},
author = {Feng, Sha and Lauvaux, Thomas and Newman, Sally and Rao, Preeti and Ahmadov, Ravan and Deng, Aijun and Diaz-Isaac, Liza I. and Duren, Riley M. and Fischer, Marc L. and Gerbig, Christoph and Gurney, Kevin R. and Huang, Jianhua and Jeong, Seongeun and Li, Zhijin and Miller, Charles E. and O'Keeffe, Darragh and Patarasuk, Risa and Sander, Stanley P. and Song, Yang and Wong, Kam W. and Yung, Yuk L.},
abstractNote = {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.},
doi = {10.5194/acp-16-9019-2016},
journal = {Atmospheric Chemistry and Physics (Online)},
number = 14,
volume = 16,
place = {United States},
year = {Fri Jul 22 00:00:00 EDT 2016},
month = {Fri Jul 22 00:00:00 EDT 2016}
}

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Errors and uncertainties in a gridded carbon dioxide emissions inventory
journal, July 2019

  • Oda, Tomohiro; Bun, Rostyslav; Kinakh, Vitaliy
  • Mitigation and Adaptation Strategies for Global Change, Vol. 24, Issue 6
  • DOI: 10.1007/s11027-019-09877-2

Comparison of Global Downscaled Versus Bottom‐Up Fossil Fuel CO 2 Emissions at the Urban Scale in Four U.S. Urban Areas
journal, March 2019

  • Gurney, Kevin R.; Liang, J.; O'Keeffe, D.
  • Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 5
  • DOI: 10.1029/2018jd028859

A Comparative Analysis of Anthropogenic CO 2 Emissions at City Level Using OCO‐2 Observations: A Global Perspective
journal, September 2019

  • Fu, Peng; Xie, Yanhua; Moore, Caitlin E.
  • Earth's Future, Vol. 7, Issue 9
  • DOI: 10.1029/2019ef001282

Anthropogenic and biogenic CO 2 fluxes in the Boston urban region
journal, July 2018

  • Sargent, Maryann; Barrera, Yanina; Nehrkorn, Thomas
  • Proceedings of the National Academy of Sciences, Vol. 115, Issue 29
  • DOI: 10.1073/pnas.1803715115

Assessing fossil fuel CO 2 emissions in California using atmospheric observations and models
journal, May 2018


Estimating power plant CO 2 emission using OCO-2 XCO 2 and high resolution WRF-Chem simulations
journal, July 2019

  • Zheng, Tao; Nassar, Ray; Baxter, Martin
  • Environmental Research Letters, Vol. 14, Issue 8
  • DOI: 10.1088/1748-9326/ab25ae

Assessing Lagrangian inverse modelling of urban anthropogenic CO2 fluxes using in situ aircraft and ground-based measurements in the Tokyo area
journal, May 2019

  • Pisso, Ignacio; Patra, Prabir; Takigawa, Masayuki
  • Carbon Balance and Management, Vol. 14, Issue 1
  • DOI: 10.1186/s13021-019-0118-8

Carbon dioxide and methane measurements from the Los Angeles Megacity Carbon Project – Part 1: calibration, urban enhancements, and uncertainty estimates
journal, January 2017

  • Verhulst, Kristal R.; Karion, Anna; Kim, Jooil
  • Atmospheric Chemistry and Physics, Vol. 17, Issue 13
  • DOI: 10.5194/acp-17-8313-2017

Impact of physical parameterizations and initial conditions on simulated atmospheric transport and CO2 mole fractions in the US Midwest
journal, January 2018

  • Díaz-Isaac, Liza I.; Lauvaux, Thomas; Davis, Kenneth J.
  • Atmospheric Chemistry and Physics, Vol. 18, Issue 20
  • DOI: 10.5194/acp-18-14813-2018

Estimates of CO2 fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling
journal, January 2018

  • Nickless, Alecia; Rayner, Peter J.; Engelbrecht, Francois
  • Atmospheric Chemistry and Physics, Vol. 18, Issue 7
  • DOI: 10.5194/acp-18-4765-2018

Analysis of temporal and spatial variability of atmospheric CO2 concentration within Paris from the GreenLITE™ laser imaging experiment
journal, January 2019

  • Lian, Jinghui; Bréon, François-Marie; Broquet, Grégoire
  • Atmospheric Chemistry and Physics, Vol. 19, Issue 22
  • DOI: 10.5194/acp-19-13809-2019

Calibration of a multi-physics ensemble for estimating the uncertainty of a greenhouse gas atmospheric transport model
journal, January 2019

  • Díaz-Isaac, Liza I.; Lauvaux, Thomas; Bocquet, Marc
  • Atmospheric Chemistry and Physics, Vol. 19, Issue 8
  • DOI: 10.5194/acp-19-5695-2019

Modelling CO 2 weather – why horizontal resolution matters
journal, January 2019

  • Agustí-Panareda, Anna; Diamantakis, Michail; Massart, Sébastien
  • Atmospheric Chemistry and Physics, Vol. 19, Issue 11
  • DOI: 10.5194/acp-19-7347-2019

An atmospheric inversion over the city of Cape Town: sensitivity analyses
journal, January 2019

  • Nickless, Alecia; Rayner, Peter J.; Scholes, Robert J.
  • Atmospheric Chemistry and Physics, Vol. 19, Issue 11
  • DOI: 10.5194/acp-19-7789-2019

The Hestia fossil fuel CO2 emissions data product for the Los Angeles megacity (Hestia-LA)
journal, January 2019

  • Gurney, Kevin R.; Patarasuk, Risa; Liang, Jianming
  • Earth System Science Data, Vol. 11, Issue 3
  • DOI: 10.5194/essd-11-1309-2019

The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg
journal, January 2020

  • Kim, Jinwoong; Polavarapu, Saroja M.; Chan, Douglas
  • Geoscientific Model Development, Vol. 13, Issue 1
  • DOI: 10.5194/gmd-13-269-2020

Spatio‐temporally Resolved Methane Fluxes From the Los Angeles Megacity
journal, May 2019

  • Yadav, Vineet; Duren, Riley; Mueller, Kim
  • Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 9
  • DOI: 10.1029/2018jd030062

Spaceborne detection of localized carbon dioxide sources
journal, October 2017

  • Schwandner, Florian M.; Gunson, Michael R.; Miller, Charles E.
  • Science, Vol. 358, Issue 6360
  • DOI: 10.1126/science.aam5782

Characterizing uncertainties in atmospheric inversions of fossil fuel CO2 emissions in California
journal, January 2019

  • Brophy, Kieran; Graven, Heather; Manning, Alistair J.
  • Atmospheric Chemistry and Physics, Vol. 19, Issue 5
  • DOI: 10.5194/acp-19-2991-2019

Carbon dioxide and methane measurements from the Los Angeles Megacity Carbon Project – Part 1: calibration, urban enhancements, and uncertainty estimates
journal, January 2017

  • Verhulst, Kristal R.; Karion, Anna; Kim, Jooil
  • Atmospheric Chemistry and Physics, Vol. 17, Issue 13
  • DOI: 10.5194/acp-17-8313-2017