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\begin{document}

\title{Evaluating a high-resolution urban fossil CO2 emissions inventory using
eddy-covariance flux measurements and source partitioning}



\author[1]{Kai Wu}%
\author[2]{Kenneth J. Davis}%
\author[2]{Natasha L. Miles}%
\author[2]{Scott J. Richardson}%
\author[3]{Thomas Lauvaux}%
\author[2]{Daniel Sarmiento}%
\author[4]{Nikolay Balashov}%
\author[2]{Klaus Keller}%
\author[5]{Jocelyn Christine Turnbull}%
\author[6]{Kevin Robert Gurney}%
\author[7]{Jianming Liang}%
\author[6]{Geoffrey S Roest}%
\affil[1]{University of Edinburgh}%
\affil[2]{Pennsylvania State University}%
\affil[3]{2Laboratoire des Sciences du Climat et de l'Environnement}%
\affil[4]{NASA Goddard Space Flight Center}%
\affil[5]{GNS Science}%
\affil[6]{Northern Arizona University}%
\affil[7]{Arizona State University}%


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  \date{May 19, 2024}


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\begin{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.%
\end{abstract}%



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