A comparison study between model-predicted and OMI-retrieved tropospheric NO2 columns over the Korean peninsula

Han, K. M.; Lee, C.K.; Lee, J.; Kim, Jhoon; Song, Chul H.

doi:10.1016/j.atmosenv.2010.10.016

Cited by 46 publications

(46 citation statements)

References 28 publications

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“…Han et al (2011) compared model-predicted NO2 column densities with OMI measurements to assess the current emission inventory over Korea (Han et al, 2011). Mijling et al (2013) estimated NO2 emission trend over East Asia by using satellite measurement of Global Ozone Monitoring Experiment (GOME-2) (Mijling et al, 2013).…”

mentioning

confidence: 99%

Inter-comparison of NO₂ column densities measured by Pandora and OMI over Seoul, Korea

Yun¹,

Lee²,

Kim³

et al. 2013

Korean Journal of Remote Sensing

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mentioning

confidence: 99%

Inter-comparison of NO₂ column densities measured by Pandora and OMI over Seoul, Korea

Yun¹,

Lee²,

Kim³

et al. 2013

Korean Journal of Remote Sensing

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“…The spatial distribution was found to agree well with OMI observations, displaying a correlation of 0.8. A comparative study between OMI observations and CMAQ model simulations of tropospheric NO 2 VCD in East Asia (Han et al 2011) was carried out over seasonal episodes in 2006, to evaluate the accuracy of the NOx emissions over the Korean peninsula, with correlation that ranges from 0.52 to 0.85, depending on the region and season considered. In Zyrichidou et al (2013), the CAMx model is used to simulate NO 2 tropospheric VCD at highresolution, which were evaluated and compared against both a previous study and OMI measurements over South-eastern Europe.…”

Section: Introductionmentioning

confidence: 99%

Modelled NO2 tropospheric columns at different resolutions versus OMI satellite data: analysis of a 1-year BOLCHEM simulation over Europe

Aidaoui

Maurizi

Azzi

2015

Air Qual Atmos Health

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Model simulations of tropospheric NO 2 vertical column density are performed using the online-coupled BOLCHEM model. Model output is compared to ozone monitoring instrument (OMI) data from the Tropospheric Emission Monitoring Internet Service (TEMIS) over Europe for the year 2007. European hot-spots (Po Valley and BeNeLux) are simulated at finer resolution and analysed separately, along with the area of Gibraltar. Standard statistical analysis reveals good model performances, even in highly polluted regions, with spatial correlation 0.90 for the whole of Europe, 0.74 for the Po Valley, 0.85 for BeNeLux and 0.79 for Gibraltar. Seasonal analysis shows some dependency on time, with lowest scores in winter, when the satellite product also suffers weaker statistical significance due to the presence of clouds. The increase in resolution is found to affect the spatial correlation more the Po Valley (+23 %) than in BeNeLux (+5 %). This difference is likely to depend on the very different meteorology of the two hot-spots.

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“…These statistics are described by Han et al (2011) and Savage et al (2013). Further details are given in the Appendix.…”

Section: Statistical Comparisonsmentioning

confidence: 99%

“…Several of the regional models successfully simulated the shipping lanes seen by OMI. Han et al (2011) investigated tropospheric column NO 2 over the Korean Peninsula through comparisons between OMI data and the Community Multi-scale Air Quality Model (CMAQ) (Foley et al, 2010). In summer, North and South Korea had similar column NO 2 from both the model and observations.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a regional air quality model using satellite column NO<sub>2</sub>: treatment of observation errors and model boundary conditions and emissions

et al. 2015

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Abstract. We compare tropospheric column NO 2 between the UK Met Office operational Air Quality in the Unified Model (AQUM) and satellite observations from the Ozone Monitoring Instrument (OMI) for 2006. Column NO 2 retrievals from satellite instruments are prone to large uncertainty from random, systematic and smoothing errors. We present an algorithm to reduce the random error of timeaveraged observations, once smoothing errors have been removed with application of satellite averaging kernels to the model data. This reduces the total error in seasonal mean columns by 10-70 %, which allows critical evaluation of the model. The standard AQUM configuration evaluated here uses chemical lateral boundary conditions (LBCs) from the GEMS (Global and regional Earth-system Monitoring using Satellite and in situ data) reanalysis. In summer the standard AQUM overestimates column NO 2 in northern England and Scotland, but underestimates it over continental Europe. In winter, the model overestimates column NO 2 across the domain. We show that missing heterogeneous hydrolysis of N 2 O 5 in AQUM is a significant sink of column NO 2 and that the introduction of this process corrects some of the winter biases. The sensitivity of AQUM summer column NO 2 to different chemical LBCs and NO x emissions data sets are investigated. Using Monitoring Atmospheric Composition and Climate (MACC) LBCs increases AQUM O 3 concentrations compared with the default GEMS LBCs. This enhances the NO x -O 3 coupling leading to increased AQUM column NO 2 in both summer and winter degrading the comparisons with OMI. Sensitivity experiments suggest that the cause of the remaining northern England and Scotland summer column NO 2 overestimation is the representation of point source (power station) emissions in the model.

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A comparison study between model-predicted and OMI-retrieved tropospheric NO2 columns over the Korean peninsula

Cited by 46 publications

References 28 publications

Inter-comparison of NO₂ column densities measured by Pandora and OMI over Seoul, Korea

Inter-comparison of NO₂ column densities measured by Pandora and OMI over Seoul, Korea

Modelled NO2 tropospheric columns at different resolutions versus OMI satellite data: analysis of a 1-year BOLCHEM simulation over Europe

Evaluation of a regional air quality model using satellite column NO<sub>2</sub>: treatment of observation errors and model boundary conditions and emissions

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A comparison study between model-predicted and OMI-retrieved tropospheric NO2 columns over the Korean peninsula

Cited by 46 publications

References 28 publications

Inter-comparison of NO2 column densities measured by Pandora and OMI over Seoul, Korea

Inter-comparison of NO2 column densities measured by Pandora and OMI over Seoul, Korea

Modelled NO2 tropospheric columns at different resolutions versus OMI satellite data: analysis of a 1-year BOLCHEM simulation over Europe

Evaluation of a regional air quality model using satellite column NO&lt;sub&gt;2&lt;/sub&gt;: treatment of observation errors and model boundary conditions and emissions

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Inter-comparison of NO₂ column densities measured by Pandora and OMI over Seoul, Korea

Inter-comparison of NO₂ column densities measured by Pandora and OMI over Seoul, Korea

Evaluation of a regional air quality model using satellite column NO<sub>2</sub>: treatment of observation errors and model boundary conditions and emissions