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Evaluating a high-resolution urban fossil CO2 emissions inventory using eddy-covariance flux measurements and source partitioning
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  • Kai Wu,
  • Kenneth J. Davis,
  • Natasha L. Miles,
  • Scott J. Richardson,
  • Thomas Lauvaux,
  • Daniel Sarmiento,
  • Nikolay Balashov,
  • Klaus Keller,
  • Jocelyn Christine Turnbull,
  • Kevin Robert Gurney,
  • Jianming Liang,
  • Geoffrey S Roest
Kai Wu
University of Edinburgh

Corresponding Author:[email protected]

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Kenneth J. Davis
Pennsylvania State University
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Natasha L. Miles
Pennsylvania State University
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Scott J. Richardson
Pennsylvania State University
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Thomas Lauvaux
2Laboratoire des Sciences du Climat et de l'Environnement
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Daniel Sarmiento
Pennsylvania State University
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Nikolay Balashov
NASA Goddard Space Flight Center
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Klaus Keller
Pennsylvania State University
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Jocelyn Christine Turnbull
GNS Science
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Kevin Robert Gurney
Northern Arizona University
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Jianming Liang
Arizona State University
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Geoffrey S Roest
Northern Arizona University
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Abstract

We present the first quantitative comparison of source-partitioned CO2 flux measurements with a high-resolution urban fossil CO2 emissions inventory. We use tower-based measurements of CO and 14C to partition net CO2 flux measurements into fossil and biogenic components in a suburban environment. A flux footprint model is used to quantify spatial patterns in fluxes. The partitioned fossil CO2 emissions are compared to a 200-m resolution emissions inventory (Hestia). The results indicate that Hestia and the partitioned flux data agree remarkably well on a seasonal average scale. The Hestia inventory is biased by 3.2% (cold season) and 9.1% (warm season). Their temporal-spatial patterns match closely. In addition, biogenic CO2 uptake is 25% of local fossil emissions during afternoon in the cold season. This work demonstrates the effectiveness of using eddy-covariance flux measurements both for evaluating urban emissions inventories and for quantifying urban ecosystem fluxes.