Systematic analysis of tropospheric NO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; long-range transport events detected in GOME-2 satellite data

Zien, Achim; Richter, Andreas; Hilboll, Andreas; Blechschmidt, Anne-Marlene; Burrows, J. P.

doi:10.5194/acp-14-7367-2014

Cited by 31 publications

(14 citation statements)

References 57 publications

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“…Trends based on satellite ozone column estimates have been published (Beig and Singh, 2007), but the various data products available are highly uncertain (Doughty et al, 2011;Schoeberl et al, 2007;Stajner et al, 2008;. Satellite data for the ozone precursors NO x (van der A et al, 2008;Lourens et al, 2011;Zien et al, 2014) and CO (Worden et al, 2010) are becoming available, but only for the period after 1995. These studies also focus on the Northern Hemisphere.…”

Section: A M Thompson Et Al: Tropospheric Ozone Increases Over Thementioning

confidence: 99%

Tropospheric ozone increases over the southern Africa region: bellwether for rapid growth in Southern Hemisphere pollution?

et al. 2014

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Abstract. Increases in free-tropospheric (FT) ozone based on ozonesonde records from the early 1990s through 2008 over two subtropical stations, Irene (near Pretoria, South Africa) and Réunion (21 • S, 55 • E; ∼ 2800 km NE of Irene in the Indian Ocean), have been reported. Over Irene a large increase in the urban-influenced boundary layer (BL, 1.5-4 km) was also observed during the 18-year period, equivalent to 30 % decade −1 . Here we show that the Irene BL trend is at least partly due to a gradual change in the sonde launch times from early morning to the midday period. The FT ozone profiles over Irene in 1990Irene in -2007 are re-examined, filling in a 1995-1999 gap with ozone profiles taken during the Measurements of Ozone by Airbus In-service Aircraft (MOZAIC) project over nearby Johannesburg. A multivariate regression model that accounts for the annual ozone cycle, El Niño-Southern Oscillation (ENSO) and possible tropopause changes was applied to monthly averaged Irene data from 4 to 11 km and to 1992-2011 Réunion sonde data from 4 to 15 km. Statistically significant trends appear predominantly in the middle and upper troposphere (UT; 4-11 km over Irene, 4-15 km over Réunion) in winter (June-August), with increases ∼ 1 ppbv yr −1 over Irene and ∼ 2 ppbv yr −1 over Réunion. These changes are equivalent to ∼ 25 and 35-45 % decade −1 , respectively. Both stations also display smaller positive trends in summer, with a 45 % decade −1 ozone increase near the tropopause over Réu-nion in December. To explain the ozone increases, we investigated a time series of dynamical markers, e.g., potential vorticity (PV) at 330-350 K. PV affects UT ozone over Irene in November-December but displays little relationship with ozone over Réunion. A more likely reason for wintertime FT ozone increases over Irene and Réunion appears to be long-range transport of growing pollution in the Southern Hemisphere. The ozone increases are consistent with trajectory origins of air parcels sampled by the sondes and with recent NO x emissions trends estimated for Africa, South America and Madagascar. For Réunion trajectories also point to sources from the eastern Indian Ocean and Asia.

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Section: A M Thompson Et Al: Tropospheric Ozone Increases Over Thementioning

confidence: 99%

Tropospheric ozone increases over the southern Africa region: bellwether for rapid growth in Southern Hemisphere pollution?

et al. 2014

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“…This is especially important in the tropics. At middle to high latitudes, the cloudslicing NO 2 VMRs are also derived in frontal storms, where uplift of boundary layer pollution and subsequent long-range transport frequently occurs (e.g., in the so-called warm conveyor belt) (Stohl et al, 2003;Zien et al, 2014). This may also increase cloud-slicing NO 2 VMRs as compared with clear-sky conditions.…”

Section: Potential Issues Related To Satellite Sampling In Cloudy Conmentioning

confidence: 99%

First estimates of global free-tropospheric NO<sub>2</sub> abundances derived using a cloud-slicing technique applied to satellite observations from the Aura Ozone Monitoring Instrument (OMI)

et al. 2014

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Abstract. We derive free-tropospheric NO 2 volume mixing ratios (VMRs) by applying a cloud-slicing technique to data from the Ozone Monitoring Instrument (OMI) on the Aura satellite. In the cloud-slicing approach, the slope of the above-cloud NO 2 column versus the cloud scene pressure is proportional to the NO 2 VMR. In this work, we use a sample of nearby OMI pixel data from a single orbit for the linear fit. The OMI data include cloud scene pressures from the rotational-Raman algorithm and above-cloud NO 2 vertical column density (VCD) (defined as the NO 2 column from the cloud scene pressure to the top of the atmosphere) from a differential optical absorption spectroscopy (DOAS) algorithm. We compare OMI-derived NO 2 VMRs with in situ aircraft profiles measured during the NASA Intercontinental Chemical Transport Experiment Phase B (INTEX-B) campaign in 2006. The agreement is generally within the estimated uncertainties when appropriate data screening is applied. We then derive a global seasonal climatology of free-tropospheric NO 2 VMR in cloudy conditions. Enhanced NO 2 in the free troposphere commonly appears near polluted urban locations where NO 2 produced in the boundary layer may be transported vertically out of the boundary layer and then horizontally away from the source. Signatures of lightning NO 2 are also shown throughout low and middle latitude regions in summer months. A profile analysis of our cloudslicing data indicates signatures of lightning-generated NO 2 in the upper troposphere. Comparison of the climatology with simulations from the global modeling initiative (GMI) for cloudy conditions (cloud optical depth > 10) shows similarities in the spatial patterns of continental pollution outflow. However, there are also some differences in the seasonal variation of free-tropospheric NO 2 VMRs near highly populated regions and in areas affected by lightning-generated NO x .

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“…Satellite observations of tropospheric NO 2 columns from the Global Ozone Monitoring Experiment (GOME), the SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY), the Ozone Monitoring Instrument (OMI) (e.g., Duncan et al, 2016;Krotkov et al, 2016), and GOME-2 (e.g., Valks et al, 2011;Zien et al, 2014) have been used for evaluations of chemical transport models (CTMs) (e.g., Kim et al, 2009;Huijnen et al, 2010a;Miyazaki et al, 2012;Yamaji et al, 2014). Previous model validation studies have revealed a general underestimation of simulated tropospheric NO 2 columns over polluted areas in global CTMs (van Noije et al, 2006;Huijnen et al, 2010a, b;Miyazaki et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Global high-resolution simulations of tropospheric nitrogen dioxide using CHASER V4.0

et al. 2018

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Abstract. We evaluate global tropospheric nitrogen dioxide (NO 2 ) simulations using the CHASER V4.0 global chemical transport model (CTM) at horizontal resolutions of 0.56, 1.1, and 2.8 • . Model evaluation was conducted using satellite tropospheric NO 2 retrievals from the Ozone Monitoring Instrument (OMI) and the Global Ozone Monitoring Experiment-2 (GOME-2) and aircraft observations from the 2014 Front Range Air Pollution and Photochemistry Experiment (FRAPPÉ). Agreement against satellite retrievals improved greatly at 1.1 and 0.56 • resolutions (compared to 2.8 • resolution) over polluted and biomass burning regions. The 1.1 • simulation generally captured the regional distribution of the tropospheric NO 2 column well, whereas 0.56 • resolution was necessary to improve the model performance over areas with strong local sources, with mean bias reductions of 67 % over Beijing and 73 % over San Francisco in summer. Validation using aircraft observations indicated that high-resolution simulations reduced negative NO 2 biases below 700 hPa over the Denver metropolitan area. These improvements in high-resolution simulations were attributable to (1) closer spatial representativeness between simulations and observations and (2) better representation of large-scale concentration fields (i.e., at 2.8 • ) through the consideration of small-scale processes. Model evaluations conducted at 0.5 and 2.8 • bin grids indicated that the contributions of both these processes were comparable over most polluted regions, whereas the latter effect (2) made a larger contribution over eastern China and biomass burning areas. The evaluations presented in this paper demonstrate the potential of using a high-resolution global CTM for studying megacity-scale air pollutants across the entire globe, potentially also contributing to global satellite retrievals and chemical data assimilation.

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Systematic analysis of tropospheric NO<sub>2</sub> long-range transport events detected in GOME-2 satellite data

Cited by 31 publications

References 57 publications

Tropospheric ozone increases over the southern Africa region: bellwether for rapid growth in Southern Hemisphere pollution?

Tropospheric ozone increases over the southern Africa region: bellwether for rapid growth in Southern Hemisphere pollution?

First estimates of global free-tropospheric NO<sub>2</sub> abundances derived using a cloud-slicing technique applied to satellite observations from the Aura Ozone Monitoring Instrument (OMI)

Global high-resolution simulations of tropospheric nitrogen dioxide using CHASER V4.0

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Systematic analysis of tropospheric NO&lt;sub&gt;2&lt;/sub&gt; long-range transport events detected in GOME-2 satellite data

Cited by 31 publications

References 57 publications

Tropospheric ozone increases over the southern Africa region: bellwether for rapid growth in Southern Hemisphere pollution?

Tropospheric ozone increases over the southern Africa region: bellwether for rapid growth in Southern Hemisphere pollution?

First estimates of global free-tropospheric NO&lt;sub&gt;2&lt;/sub&gt; abundances derived using a cloud-slicing technique applied to satellite observations from the Aura Ozone Monitoring Instrument (OMI)

Global high-resolution simulations of tropospheric nitrogen dioxide using CHASER V4.0

Contact Info

Product

Resources

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Systematic analysis of tropospheric NO<sub>2</sub> long-range transport events detected in GOME-2 satellite data

First estimates of global free-tropospheric NO<sub>2</sub> abundances derived using a cloud-slicing technique applied to satellite observations from the Aura Ozone Monitoring Instrument (OMI)