A new stratospheric and tropospheric NO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; retrieval algorithm for nadir-viewing satellite instruments: applications to OMI

Bucsela, E. J.; Krotkov, Nickolay A.; Celarier, E. A.; Lamsal, L. N.; Swartz, W. H.; Bhartia, P. K.; Boersma, K. F.; Veefkind, J. P.; Gleason, J. F.; Pickering, Kenneth

doi:10.5194/amtd-6-1361-2013

Cited by 58 publications

(92 citation statements)

References 63 publications

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“…Differential Optical Absorption Spectroscopy (DOAS) [3], which is a method to retrieve total amounts of atmospheric trace gases through the remote sensing measurement of light in the ultra violet, visible, and near infrared spectral range, is widely used to monitor NO 2 using both ground-based remote sensing measurements, such as Multi-Axis DOAS, and space-born instruments such as the Global Ozone Monitoring Experiment (GOME) [4], the Scanning Imaging Spectrometer for Atmospheric Cartography (SCIAMACHY), the Ozone Monitoring Instrument (OMI) [5,6], and GOME-2 [2,7]. The key idea of the DOAS method is to separate broad and narrow band spectral structures of the absorption spectra in order to find the narrow trace gas absorption features.…”

Section: Introductionmentioning

confidence: 99%

The Effects of Aerosol on the Retrieval Accuracy of NO2 Slant Column Density

et al. 2017

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Abstract:We investigate the effects of aerosol optical depth (AOD), single scattering albedo (SSA), aerosol peak height (APH), measurement geometry (solar zenith angle (SZA) and viewing zenith angle (VZA)), relative azimuth angle, and surface reflectance on the accuracy of NO 2 slant column density using synthetic radiance. High AOD and APH are found to decrease NO 2 SCD retrieval accuracy. In moderately polluted (5 × 10 15 molecules cm −2 < NO 2 vertical column density (VCD) < 2 × 10 16 molecules cm −2 ) and clean regions (NO 2 VCD < 5 × 10 15 molecules cm −2 ), the correlation coefficient (R) between true NO 2 SCDs and those retrieved is 0.88 and 0.79, respectively, and AOD and APH are about 0.1 and is 0 km, respectively. However, when AOD and APH are about 1.0 and 4 km, respectively, the R decreases to 0.84 and 0.53 in moderately polluted and clean regions, respectively. On the other hand, in heavily polluted regions (NO 2 VCD > 2 × 10 16 molecules cm −2 ), even high AOD and APH values are found to have a negligible effect on NO 2 SCD precision. In high AOD and APH conditions in clean NO 2 regions, the R between true NO 2 SCDs and those retrieved increases from 0.53 to 0.58 via co-adding four pixels spatially, showing the improvement in accuracy of NO 2 SCD retrieval. In addition, the high SZA and VZA are also found to decrease the accuracy of the NO 2 SCD retrieval.

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Section: Introductionmentioning

confidence: 99%

The Effects of Aerosol on the Retrieval Accuracy of NO2 Slant Column Density

et al. 2017

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“…In the normal global operational mode, the OMI ground pixel at nadir is 13 km × 24 km, with a local equator-crossing time of 13:45 h in ascending node. The OMI NO 2 data are filtered using quality flags, cloudiness, and row anomaly (an anomaly caused by an obstruction in part of OMI's aperture) [Bucsela et al, 2013]. Additionally, we apply a cutoff value (0.7 × 10 15 molecules cm À2 ) to the OMI data as low-value pixels are less responsive to local emission density but more influenced by regional background and retrieval noise.…”

Section: Methodsmentioning

confidence: 99%

“…These morning hours are associated with the highest NO x concentrations contributed by both typical commuter traffic peaks and the shallow planetary boundary layer, making them an ideal indicator for assessing local emission conditions [Tong et al, 2015]. Besides ground data, the OMI standard product (version 2.1, collection 3) described by Bucsela et al [2013] is used to derive the satellite-based emission trends using the data-filtering approach described in Tong et al [2015]. In the normal global operational mode, the OMI ground pixel at nadir is 13 km × 24 km, with a local equator-crossing time of 13:45 h in ascending node.…”

Section: Methodsmentioning

confidence: 99%

Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NO_x emissions

Tong

Pan

Chen

et al. 2016

Geophysical Research Letters

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Satellite and ground observations detected large variability in nitrogen oxides (NOx) during the 2008 economic recession, but the impact of the recession on air quality has not been quantified. This study combines observed NOx trends and a regional chemical transport model to quantify the impact of the recession on surface ozone (O3) levels over the continental United States. The impact is quantified by simulating O3 concentrations under two emission scenarios: business‐as‐usual (BAU) and recession. In the BAU case, the emission projection from the Cross‐State Air Pollution Rule is used to estimate the “would‐be” NOx emission level in 2011. In the recession case, the actual NO2 trends observed from Air Quality System ground monitors and the Ozone Monitoring Instrument on the Aura satellite are used to obtain “realistic” changes in NOx emissions. The model prediction with the recession effect agrees better with ground O3 observations over time and space than the prediction with the BAU emission. The results show that the recession caused a 1–2 ppbv decrease in surface O3 concentration over the eastern United States, a slight increase (0.5–1 ppbv) over the Rocky Mountain region, and mixed changes in the Pacific West. The gain in air quality benefits during the recession, however, could be quickly offset by the much slower emission reduction rate during the post‐recession period.

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“…The DOAS method is also applied to assess total and tropospheric NO 2 columns from nadir-viewing spaceborne sensors like SCIAMACHY (scanning imaging absorption chartography), GOME (Global Ozone Monitoring Experiment), GOME-2, and OMI (Ozone Monitoring Experiment) (see e.g. Richter and Burrows, 2002;Beirle et al, 2010;Boersma et al, 2011;Valks et al, 2011;Bucsela et al, 2013;Hilboll et al, 2013). Other experiments have been published, presenting approaches to monitor tropospheric NO 2 from car (Johansson et al, 2009;Wagner et al, 2010;Constantin et al, 2013) and airborne platforms (Berg et al, 2012;Popp et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Tropospheric nitrogen dioxide column retrieval from ground-based zenith–sky DOAS observations

et al. 2015

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Abstract. We present an algorithm for retrieving tropospheric nitrogen dioxide (NO 2 ) vertical column densities (VCDs) from ground-based zenith-sky (ZS) measurements of scattered sunlight. The method is based on a four-step approach consisting of (1) the differential optical absorption spectroscopy (DOAS) analysis of ZS radiance spectra using a fixed reference spectrum corresponding to low NO 2 absorption, (2) the determination of the residual amount in the reference spectrum using a Langley-plot-type method, (3) the removal of the stratospheric content from the daytime total measured slant column based on stratospheric VCDs measured at sunrise and sunset, and simulation of the rapid NO 2 diurnal variation, (4) the retrieval of tropospheric VCDs by dividing the resulting tropospheric slant columns by appropriate air mass factors (AMFs). These steps are fully characterized and recommendations are given for each of them. The retrieval algorithm is applied on a ZS data set acquired with a multi-axis (MAX-) DOAS instrument during the Cabauw (51.97 • N, 4.93 • E, sea level) Intercomparison campaign for Nitrogen Dioxide measuring Instruments (CINDI) held from 10 June to 21 July 2009 in the Netherlands. A median value of 7.9 × 10 15 molec cm −2 is found for the retrieved tropospheric NO 2 VCDs, with maxima up to 6.0 × 10 16 molec cm −2 . The error budget assessment indicates that the overall error σ TVCD on the column values is less than 28 %. In the case of low tropospheric contribution, σ TVCD is estimated to be around 39 % and is dominated by uncertainties in the determination of the residual amount in the reference spectrum. For strong tropospheric pollution events, σ TVCD drops to approximately 22 % with the largest uncertainties on the determination of the stratospheric NO 2 abundance and tropospheric AMFs. The tropospheric VCD amounts derived from ZS observations are compared to VCDs retrieved from off-axis and direct-sun measurements of the same MAX-DOAS instrument as well as to data from a co-located Système d'Analyse par Observations Zénithales (SAOZ) spectrometer. The retrieved tropospheric VCDs are in good agreement with the different data sets with correlation coefficients and slopes close to or larger than 0.9. The potential of the presented ZS retrieval algorithm is further demonstrated by its successful application on a 2-year data set, acquired at the NDACC (Network for the Detection of Atmospheric Composition Change) station Observatoire de Haute Provence (OHP; Southern France).

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A new stratospheric and tropospheric NO<sub>2</sub> retrieval algorithm for nadir-viewing satellite instruments: applications to OMI

Cited by 58 publications

References 63 publications

The Effects of Aerosol on the Retrieval Accuracy of NO2 Slant Column Density

The Effects of Aerosol on the Retrieval Accuracy of NO2 Slant Column Density

Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NO_x emissions

Tropospheric nitrogen dioxide column retrieval from ground-based zenith–sky DOAS observations

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A new stratospheric and tropospheric NO&lt;sub&gt;2&lt;/sub&gt; retrieval algorithm for nadir-viewing satellite instruments: applications to OMI

Cited by 58 publications

References 63 publications

The Effects of Aerosol on the Retrieval Accuracy of NO2 Slant Column Density

The Effects of Aerosol on the Retrieval Accuracy of NO2 Slant Column Density

Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NOx emissions

Tropospheric nitrogen dioxide column retrieval from ground-based zenith–sky DOAS observations

Contact Info

Product

Resources

About

A new stratospheric and tropospheric NO<sub>2</sub> retrieval algorithm for nadir-viewing satellite instruments: applications to OMI

Impact of the 2008 Global Recession on air quality over the United States: Implications for surface ozone levels from changes in NO_x emissions