2015
DOI: 10.1002/2014jd022627
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Emissions of C6–C8 aromatic compounds in the United States: Constraints from tall tower and aircraft measurements

Abstract: We present two full years of continuous C 6 -C 8 aromatic compound measurements by PTR-MS at the KCMP tall tower (Minnesota, US) and employ GEOS-Chem nested grid simulations in a Bayesian inversion to interpret the data in terms of new constraints on US aromatic emissions. Based on the tall tower data, we find that the RETRO inventory (year-2000) overestimates US C 6 -C 8 aromatic emissions by factors of 2.0-4.5 during 2010-2011, likely due in part to post-2000 reductions. Likewise, our implementation of the U… Show more

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Cited by 62 publications
(68 citation statements)
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References 84 publications
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“…The global Reanalysis of the TROpospheric chemical composition (RETRO) inventory is used for anthropogenic NMVOC emissions (Hu et al, 2015a), with global anthropogenic and natural ammonia (NH 3 ) emissions from the Global Emission Inventory Activity (GEIA) inventory. Biofuel emissions follow Yevich and Logan (2003).…”
Section: General Descriptionmentioning
confidence: 99%
“…The global Reanalysis of the TROpospheric chemical composition (RETRO) inventory is used for anthropogenic NMVOC emissions (Hu et al, 2015a), with global anthropogenic and natural ammonia (NH 3 ) emissions from the Global Emission Inventory Activity (GEIA) inventory. Biofuel emissions follow Yevich and Logan (2003).…”
Section: General Descriptionmentioning
confidence: 99%
“…On this relatively old and slow computer, it takes about 15 days for the coupled system to finish 1 simulation year. Hu et al (2015). These global inventories are further replaced by regional inventories over Asia, North America and Europe.…”
Section: Two-way Coupled Geos-chem Model Systemmentioning
confidence: 99%
“…There are numerous instances of underreported emissions in inventories (Hu et al, 2015), including some large discrepancies (Brandt et al, 2014). However in order for AERMOD predictions to match with the PMF analysis, emissions would have to be under reported by roughly a factor of 10 (e.g., Figure 6b).…”
Section: Comparison Of Dispersion Model and Pmf: Industrial Sourcesmentioning
confidence: 99%