Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data

Kemball-Cook, Susan; Yarwood, Greg; Johnson, Jeremiah; Dornblaser, Bright; Estes, Mark

doi:10.1016/j.atmosenv.2015.07.002

Cited by 18 publications

(16 citation statements)

References 40 publications

(51 reference statements)

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“…The mass balance approach has been widely used for constraining NO x emission inventories on many spatial scales, encompassing global [e.g., Leue et al ., ; Martin et al ., ], regional [e.g., Wang et al ., ; Boersma et al, ; Zhao and Wang , ; Lin et al, ; Russell et al ., ; Ghude et al ., ; Jena et al ., ; Kemball‐Cook et al ., ; Zyrichidou et al ., ], and local domains [e.g., Li et al ., ; Lu and Streets , ; Prasad et al ., ; Duncan et al ., ; Hilboll et al ., ]. Mass balance inversions have been used for timely updates to emission inventories by exploiting the near‐real‐time availability of satellite observations [e.g., Lamsal et al ., ].…”

Section: Introductionmentioning

confidence: 99%

“…The latter two techniques are discussed below. Boersma et al, 2008b;Zhao and Wang, 2009;Lin et al, 2010;Russell et al, 2010;Ghude et al, 2013;Jena et al, 2015;Kemball-Cook et al, 2015;Zyrichidou et al, 2015], and local domains [e.g., Li et al, 2010;Lu and Streets, 2012;Prasad et al, 2012;Duncan et al, 2013;Hilboll et al, 2013]. Mass balance inversions have been used for timely updates to emission inventories by exploiting the near-real-time availability of satellite observations [e.g., Lamsal et al, 2011].…”

Section: Introductionmentioning

confidence: 99%

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Comparing mass balance and adjoint methods for inverse modeling of nitrogen dioxide columns for global nitrogen oxide emissions

et al. 2017

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Satellite observations offer information applicable to top‐down constraints on emission inventories through inverse modeling. Here we compare two methods of inverse modeling for emissions of nitrogen oxides (NOx) from nitrogen dioxide (NO2) columns using the GEOS‐Chem chemical transport model and its adjoint. We treat the adjoint‐based 4D‐Var modeling approach for estimating top‐down emissions as a benchmark against which to evaluate variations on the mass balance method. We use synthetic NO2 columns generated from known NOx emissions to serve as “truth.” We find that error in mass balance inversions can be reduced by up to a factor of 2 with an iterative process that uses finite difference calculations of the local sensitivity of NO2 columns to a change in emissions. In a simplified experiment to recover local emission perturbations, horizontal smearing effects due to NOx transport are better resolved by the adjoint approach than by mass balance. For more complex emission changes, or at finer resolution, the iterative finite difference mass balance and adjoint methods produce similar global top‐down inventories when inverting hourly synthetic observations, both reducing the a priori error by factors of 3–4. Inversions of simulated satellite observations from low Earth and geostationary orbits also indicate that both the mass balance and adjoint inversions produce similar results, reducing a priori error by a factor of 3. As the iterative finite difference mass balance method provides similar accuracy as the adjoint method, it offers the prospect of accurately estimating top‐down NOx emissions using models that do not have an adjoint.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparing mass balance and adjoint methods for inverse modeling of nitrogen dioxide columns for global nitrogen oxide emissions

et al. 2017

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“…India, in the tropics, is prone to a significant number of annual lightning flashes across the entire country, including regions which already exhibit a high bias compared to OMI [Cecil et al, 2014]. However, regional average low biases between OMI NO 2 tropospheric columns and regional and global chemistry models are common [Allen et al, 2012;Kemball-Cook et al, 2015]. In the case of this study, we find that low biases exist in many Eq.…”

Section: Discussionmentioning

confidence: 77%

“…Tropospheric column observations can be used to evaluate model performance in terms of relevant column output, examining emissions in a region, and drawing inferences for photochemical relationships among precursor species. They have been used to evaluate regional model results [Zhang et al, 2009;Muntaseer Billah Ibn Azkar et al, 2012;Kemball-Cook et al, 2015], in support of O 3 source assessment [McDonald-Buller et al, 2011], and for biogenic contribution assessment [Carlton and Baker, 2011]. The availability and use of satellite retrievals of air pollutant for model evaluation is incredibly useful to assess model performance in between surface monitors, important for ruralregional conclusions.…”

Section: Satellite Observations Supporting Model Results Evaluationmentioning

confidence: 99%

“…This allows nearly one-to-one comparison between modeled and satellite tropospheric columns. WHIPS has been used previously for model evaluation in numerous air quality studies in the U.S. [Harkey et al, 2015;Kemball-Cook et al, 2015], and here WHIPS is used to process satellite data for air quality model evaluation in India.…”

Section: Satellite Observations Supporting Model Results Evaluationmentioning

confidence: 99%

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Urban Emissions and Regional Air Quality in India

Karambelas

2017

Proc. Wisc. Space Conf.

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Satellite observations from the Ozone Monitoring Instrument are used in support of model evaluation of seasonal average results from the U.S. Environmental Protection Agency (EPA) Community Multi-scale Air Quality (CMAQ) model. Model evaluation was conducted with the purpose of identifying regional biases in model output compared to tropospheric columns. Comparison with tropospheric column NO2, an anthropogenic indicator, reveal that there are uncertainties regarding the emissions inventory input to CMAQ. Results have implications for developing accurate model inputs to produce accurate model output for relevant health impact assessments, which are increasingly important with increasing population, urbanization, and pollution in the region.

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Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign

Souri

Choi

Jeon

et al. 2016

Atmospheric Environment

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Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data

Cited by 18 publications

References 40 publications

Comparing mass balance and adjoint methods for inverse modeling of nitrogen dioxide columns for global nitrogen oxide emissions

Comparing mass balance and adjoint methods for inverse modeling of nitrogen dioxide columns for global nitrogen oxide emissions

Urban Emissions and Regional Air Quality in India

Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign

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