Comparison of weekly cycle of NO2 satellite retrievals and NOx emission inventories for the continental United States

Kaynak, Burçak; Hu, Yongtao; Martin, Randall V.; Sioris, C. E.; Russell, Armistead G.

doi:10.1029/2008jd010714

Cited by 50 publications

(48 citation statements)

References 19 publications

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“…Over the urban regions and the NO x -saturated regimes, AQS observations show the smallest NO x concentrations during weekends (on Sunday) and the largest during weekdays (on Thursday and Friday). The weekly pattern of NO x concentrations over urban regions is similar to that of the NO 2 column density and the NO 2 mixing ratio in previous studies (e.g., Beirle et al, 2003;Shutters and Balling Jr., 2006;Kaynak et al, 2009). In particular, Kaynak et al (2009) showed the smallest NO 2 column density over the urban regions on Sunday and the largest on Wednesday, Thursday, and Friday (e.g., Wednesday for Chicago; Thursday for Houston, Atlanta, New York, and Phoenix; Friday for Los Angeles and Seattle).…”

Section: Weekly Variation Of Aqs and Cmaq Ground-level No Xsupporting

confidence: 54%

“…The weekly pattern of NO x concentrations over urban regions is similar to that of the NO 2 column density and the NO 2 mixing ratio in previous studies (e.g., Beirle et al, 2003;Shutters and Balling Jr., 2006;Kaynak et al, 2009). In particular, Kaynak et al (2009) showed the smallest NO 2 column density over the urban regions on Sunday and the largest on Wednesday, Thursday, and Friday (e.g., Wednesday for Chicago; Thursday for Houston, Atlanta, New York, and Phoenix; Friday for Los Angeles and Seattle). The CMAQ simulation shows a similar pattern for the smallest NO x concentrations on Sunday and the largest on Thursday (over urban regions) and Wednesday (over NO x -saturated regimes) instead of Friday, as in AQS.…”

Section: Weekly Variation Of Aqs and Cmaq Ground-level No Xsupporting

confidence: 54%

“…In particular, Beirle et al (2003) revealed a lower GOME NO 2 column density on weekends and a higher column density on weekdays over the US, European countries, Japan, and South Korea. Similarly, Kaynak et al (2009) found relatively large SCIAMACHY NO 2 columns on weekdays and a significantly lower column density on weekends over polluted regions. However, no such large reduction has been found in rural areas.…”

Section: Y Choi Et Al: Summertime Weekly Cycles Of Observed and Modmentioning

confidence: 99%

“…For example, Beirle et al (2003) and Kaynak et al (2009) examined the weekly cycle of the NO 2 column density using retrieval products from the Global Ozone Monitoring Experiment (GOME) and the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY), respectively, and found that temporal variations in the NO x column density are proportional to emissions. In particular, Beirle et al (2003) revealed a lower GOME NO 2 column density on weekends and a higher column density on weekdays over the US, European countries, Japan, and South Korea.…”

Section: Y Choi Et Al: Summertime Weekly Cycles Of Observed and Modmentioning

confidence: 99%

“…Previously, Kaynak et al (2009) derived three geographical sites -urban, rural, and rural-point (rural areas, including large EGUs) -for their NO x weekly cycle study. They chose seven urban sites based on Census 2000, eleven rural sites far from both urban regions and large EGUs, and more than 100 rural-point sites.…”

Section: Avhrr Geographical Regions and Gome-2 And Cmaq Chemical Regimesmentioning

confidence: 99%

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Summertime weekly cycles of observed and modeled NOx and O3 concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States

et al. 2012

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Abstract. To show how remote-sensing products can be used to classify the entire CONUS domain into "geographical regions" and "chemical regimes", we analyzed the results of simulation from the Community Multiscale Air Quality (CMAQ) model version 4.7.1 over the Conterminous United States (CONUS) for August 2009. In addition, we observe how these classifications capture the weekly cycles of ground-level nitrogen oxide (NO x ) and ozone (O 3 ) at US EPA Air Quality System (AQS) sites. We use the Advanced Very High Resolution Radiometer (AVHRR) land use dominant categories and the Global Ozone Monitoring Experiment-2 (GOME-2) HCHO/NO 2 column density ratios to allocate geographical regions (i.e., "urban", "forest", and "other" regions) and chemical regimes (i.e., "NO x -saturated", "NO x -sensitive", and "mixed" regimes). We also show that CMAQ simulations using GOME-2 satellite-adjusted NO x emissions mitigate the discrepancy between the weekly cycles of NO x from AQS observations and that from CMAQ simulation results. We found geographical regions and chemical regimes do not show a one-to-one correspondence: the averaged HCHO / NO 2 ratios for AVHRR "urban" and "forest" regions are 2.1 and 4.0, which correspond to GOME-2 "mixed" and "NO xsensitive" regimes, respectively. Both AQS-observed and CMAQ-simulated weekly cycles of NO x show high concentrations on weekdays and low concentrations on weekends, but with one-or two-day shifts of weekly high peaks in the simulated results, which eventually introduces the shifts in simulated weekly-low O 3 concentration. In addition, whereas the high weekend O 3 anomaly is clearly observable at sites over the GOME-2 NO x -saturated regime in both AQS and CMAQ, the weekend effect is not captured at sites over the AVHRR urban region because of the chemical characteristics of the urban sites (≈ GOME-2 mixed regime). In addition, the weekend effect from AQS is more clearly discernible at sites above the GOME-2 NO x -saturated regime than at other sites above the CMAQ NO x -saturated regime, suggesting that the GOME-2-based chemical regime classification is more accurate than CMAQ-based chemical classification. Furthermore, the CMAQ simulations using the GOME-2-derived NO x emissions adjustment (decreasing from 462 Gg N to 426 Gg N over the US for August 2009) show large reductions of simulated NO x concentrations (particularly over the urban, or NO x -saturated, regime), and mitigates the large discrepancies between the absolute amount and the weekly pattern of NO x concentrations of the EPA AQS and those of the baseline CMAQ.

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Section: Weekly Variation Of Aqs and Cmaq Ground-level No Xsupporting

confidence: 54%

Section: Weekly Variation Of Aqs and Cmaq Ground-level No Xsupporting

confidence: 54%

Section: Y Choi Et Al: Summertime Weekly Cycles Of Observed and Modmentioning

confidence: 99%

Section: Y Choi Et Al: Summertime Weekly Cycles Of Observed and Modmentioning

confidence: 99%

Section: Avhrr Geographical Regions and Gome-2 And Cmaq Chemical Regimesmentioning

confidence: 99%

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Summertime weekly cycles of observed and modeled NOx and O3 concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States

et al. 2012

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Anthropogenic emissions of NO_xover China: Reconciling the difference of inverse modeling results using GOME-2 and OMI measurements

Wang

Smeltzer

et al. 2014

J. Geophys. Res. Atmos.

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Inverse modeling using satellite observations of nitrogen dioxide (NO 2 ) columns has been extensively used to estimate nitrogen oxides (NO x ) emissions in China. Recently, the Global Ozone Monitoring Experiment-2 (GOME-2) and Ozone Monitoring Instrument (OMI) provide independent global NO 2 column measurements on a nearly daily basis at around 9:30 and 13:30 local time across the equator, respectively. Anthropogenic NO x emission estimates by applying previously developed monthly inversion (MI) or daily inversion (DI) methods to these two sets of measurements show substantial differences. We improve the DI method by conducting model simulation, satellite retrieval, and inverse modeling sequentially on a daily basis. After each inversion, we update anthropogenic NO x emissions in the model simulation with the newly obtained a posteriori results. Consequently, the inversion-optimized emissions are used to compute the a priori NO 2 profiles for satellite retrievals. As such, the a priori profiles used in satellite retrievals are now coupled to inverse modeling results. The improved procedure was applied to GOME-2 and OMI NO 2 measurements in 2011. The new daily retrieval-inversion (DRI) method estimates an average NO x emission of 6.9 Tg N/yr over China, and the difference between using GOME-2 and OMI measurements is 0.4 Tg N/yr, which is significantly smaller than the difference of 1.3 Tg N/yr using the previous DI method. Using the more consistent DRI inversion results, we find that anthropogenic NO x emissions tend to be higher in winter and summer than spring (and possibly fall) and the weekday-to-weekend emission ratio tends to increase with NO x emission in China.

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Applications of Satellite Observations of Tropospheric Composition

Monks

Beirle

2010

Physics of Earth and Space Environments

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Comparison of weekly cycle of NO₂ satellite retrievals and NO_x emission inventories for the continental United States

Cited by 50 publications

References 19 publications

Summertime weekly cycles of observed and modeled NO<sub>x</sub> and O<sub>3</sub> concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States

Summertime weekly cycles of observed and modeled NO<sub>x</sub> and O<sub>3</sub> concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States

Anthropogenic emissions of NO_xover China: Reconciling the difference of inverse modeling results using GOME-2 and OMI measurements

Applications of Satellite Observations of Tropospheric Composition

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Comparison of weekly cycle of NO2 satellite retrievals and NOx emission inventories for the continental United States

Cited by 50 publications

References 19 publications

Summertime weekly cycles of observed and modeled NO&lt;sub&gt;x&lt;/sub&gt; and O&lt;sub&gt;3&lt;/sub&gt; concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States

Summertime weekly cycles of observed and modeled NO&lt;sub&gt;x&lt;/sub&gt; and O&lt;sub&gt;3&lt;/sub&gt; concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States

Anthropogenic emissions of NOxover China: Reconciling the difference of inverse modeling results using GOME-2 and OMI measurements

Applications of Satellite Observations of Tropospheric Composition

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Product

Resources

About

Comparison of weekly cycle of NO₂ satellite retrievals and NO_x emission inventories for the continental United States

Summertime weekly cycles of observed and modeled NO<sub>x</sub> and O<sub>3</sub> concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States

Summertime weekly cycles of observed and modeled NO<sub>x</sub> and O<sub>3</sub> concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States

Anthropogenic emissions of NO_xover China: Reconciling the difference of inverse modeling results using GOME-2 and OMI measurements