First estimates of global free-tropospheric NO2 abundances derived using a cloud-slicing technique applied to satellite observations from the aura ozone monitoring instrument (OMI)

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Abstract

We derive free-tropospheric NO2 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 NO2 column versus the cloud scene pressure is proportional to the NO2 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 NO2 vertical column density (VCD) (defined as the NO2 column from the cloud scene pressure to the top of the atmosphere) from a differential optical absorption spectroscopy (DOAS) algorithm. We compare OMI-derived NO2 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 NO2 VMR in cloudy conditions. Enhanced NO2 in the free troposphere commonly appears near polluted urban locations where NO2 produced in the boundary layer may be transported vertically out of the boundary layer and then horizontally away from the source. Signatures of lightning NO2 are also shown throughout low and middle latitude regions in summer months. A profile analysis of our cloud-slicing data indicates signatures of lightning-generated NO2 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 NO2 VMRs near highly populated regions and in areas affected by lightning-generated NOx.

Figures

  • Figure 1. Schematic view of the cloud-slicing technique (not to scale): (a) two above-cloud NO2 column measurements at different cloud scene pressures (blue: column with lower scene pressure; and red: column with higher scene pressure); (b) the measurements shown on a pressure-column coordinate plane; (c) NO2 VMR derived from the slope of above-cloud NO2 VCD versus cloud scene pressure with confidence interval (horizontal error bar) and pressure range (vertical error bar).
  • Figure 2. Experimental settings to simulate OMI above-cloud NO2 VCD observations: (a) NO2 profiles used in the AMF calculations, (b) cloud optical depth (COD) profiles used in the radiative transfer calculations, and (c) scattering weight profiles from the radiative transfer calculations corresponding to COD profiles in (b). See text for more details.
  • Figure 3. (a) Near-Lambertian COD profiles (solid lines) that correspond to various cloud OCPs (dashed lines), (b) scattering weights calculated using near-Lambertian COD profiles (solid lines) accompanied by geometric weighting functions (dashed lines).
  • Table 1. OMI data filtering criteria for cloud-slicing approach.
  • Figure 4. NO2 VMRs derived from simulated OMI cloud OCPs and above-cloud NO2 VCDs using (a) geometric AMFs, and (b) nearLambertian cloudy AMFs.
  • Figure 5. Examples of relatively good agreement between OMI cloud-slicing VMRs and INTEX-B NO2 profiles near Houston, Texas, US (top row), and the northeastern Pacific (bottom row). In each example, left: OMI above-cloud NO2 column versus cloud scene pressure (similar to Fig. 1b); center: INTEX-B NO2 profiles (dark blue line), INTEX-B NO2 VMR averaged over the OMI pressure range (dark blue square with error bars), and OMI-derived NO2 VMR (light blue square with error bars); right: locations of OMI and INTEX-B aircraft measurements.
  • Figure 6. Scattergram of INTEX-B and OMI cloud-slicing NO2 VMRs; left: all available collocations of INTEX-B and OMI NO2 VMR; middle: collocations where the INTEX-B standard error of the mean < 5 pptv; right: locations of the profiles. Red shows cases where the INTEX-B standard error of the mean > 5 pptv.
  • Figure 7. For June–August (left column) and December–February (right column) averages over 2005–2007; first row: climatology of freetropospheric NO2 VMR; second row: cloudy (τ > 10) GMI free-tropospheric NO2 VMR; third row: GMI lightning contribution to the free-tropospheric NO2 VMRs.

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CITATION STYLE

APA

Choi, S., Joiner, J., Choi, Y., Duncan, B. N., Vasilkov, A., Krotkov, N., & Bucsela, E. (2014). First estimates of global free-tropospheric NO2 abundances derived using a cloud-slicing technique applied to satellite observations from the aura ozone monitoring instrument (OMI). Atmospheric Chemistry and Physics, 14(19), 10565–10588. https://doi.org/10.5194/acp-14-10565-2014

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