Measurements of the NO2 absorption cross-section from 42 000 cm−1 to 10 000 cm−1 (238–1000 nm) at 220 K and 294 K

Vandaele, Ann Carine; Hermans, Christian; Simon, P. C.; Carleer, Michel; Colin, Réginald; Fally, Sophie; Mérienne, M.-F.; Jenouvrier, A.; Coquart, B.

doi:10.1016/s0022-4073(97)00168-4

Cited by 779 publications

(586 citation statements)

References 18 publications

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“…Some aspects pertaining to the retrievals are characteristic to each instrument, and we give here a short overview of the main differences. [Bogumil et al, 2003] and OMI [Vandaele et al, 1998] but the differences are less than 2% at all temperatures, affecting differences in the temperature correction in the SCIAMACHY and OMI retrievals by at most 2%. We do not expect significant differences between SCIAMACHY and OMI slant columns from the fitting differences in Table 2 or from the temperature correction.…”

Section: Introductionmentioning

confidence: 94%

Intercomparison of SCIAMACHY and OMI tropospheric NO₂ columns: Observing the diurnal evolution of chemistry and emissions from space

et al. 2008

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[1] Concurrent (August 2006) measurements of tropospheric NO 2 columns from OMI aboard Aura (1330 local overpass time) and SCIAMACHY aboard Envisat (1000 local overpass time) offer an opportunity to examine the consistency between the two instruments under tropospheric background conditions and the effect of different observing times. For scenes with tropospheric NO 2 columns <5.0 Â 10 15 molecules cm À2 , SCIAMACHY and OMI agree within 1.0-2.0 Â 10 15 molecules cm À2 , consistent with the detection limits of both instruments. We find evidence for a low bias of 0.2 Â 10 15 molecules cm À2 in OMI observations over remote oceans. Over the fossil fuel source regions at northern midlatitudes, we find that SCIAMACHY observes up to 40% higher NO 2 at 1000 local time (LT) than OMI at 1330 LT. Over biomass burning regions in the tropics, SCIAMACHY observes up to 40% lower NO 2 columns than OMI. These differences are present in the spectral fitting of the data (slant column) and are augmented in the fossil fuel regions and dampened in the tropical biomass burning regions by the expected increase in air mass factor as the mixing depth rises from 1000 to 1330 LT. Using a global 3-D chemical transport model (GEOS-Chem), we show that the 1000-1330 LT decrease in tropospheric NO 2 column over fossil fuel source regions can be explained by photochemical loss, dampened by the diurnal cycle of anthropogenic emissions that has a broad daytime maximum. The observed 1000-1330 LT NO 2 column increase over tropical biomass burning regions points to a sharp midday peak in emissions and is consistent with a diurnal cycle of emissions derived from geostationary satellite fire counts.

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Section: Introductionmentioning

confidence: 94%

Intercomparison of SCIAMACHY and OMI tropospheric NO₂ columns: Observing the diurnal evolution of chemistry and emissions from space

et al. 2008

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“…The retrieval utilizes absorption features by NO 2 and the oxygen dimer (O 4 ) at 460-490 nm. The NO 2 absorption cross section data of Vandaele et al (1998) at 294 K were used. The quality of our DOAS analysis is supported by formal semi-blind intercomparison results indicating good agreement with other MAX-DOAS observations to within ∼ 10 % of other instruments for both NO 2 and O 4 differential slant column densities ( SCD) and for both the UV and visible regions (Roscoe et al, 2010).…”

Section: Max-doas Observationsmentioning

confidence: 99%

Quantitative bias estimates for tropospheric NO<sub>2</sub> columns retrieved from SCIAMACHY, OMI, and GOME-2 using a common standard for East Asia

et al. 2012

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Abstract. For the intercomparison of tropospheric nitrogen dioxide (NO 2 ) vertical column density (VCD) data from three different satellite sensors (SCIAMACHY, OMI, and GOME-2), we use a common standard to quantitatively evaluate the biases for the respective data sets. As the standard, a regression analysis using a single set of collocated ground-based Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) observations at several sites in Japan and China from 2006-2011 is adopted. Examinations of various spatial coincidence criteria indicates that the slope of the regression line can be influenced by the spatial distribution of NO 2 over the area considered. While the slope varies systematically with the distance between the MAX-DOAS and satellite observation points around Tokyo in Japan, such a systematic dependence is not clearly seen and correlation coefficients are generally higher in comparisons at sites in China. On the basis of these results, we focus mainly on comparisons over China and estimate the biases in SCIAMACHY, OMI, and GOME-2 data (TM4NO2A and DOMINO version 2 products) against the MAX-DOAS observations to be −5 ± 14 %, −10 ± 14 %, and +1 ± 14 %, respectively, which are all small and insignificant. We suggest that these small biases now allow for analyses combining these satellite data for air quality studies, which are more systematic and quantitative than previously possible.

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“…The NO 2 slant column density (SCD) is retrieved by fitting the OMI spectrum for wavelengths ranging from 405 nm to 465 nm using the DOAS technique. For the OMI NO 2 data product three trace gas reference spectra, NO 2 (Vandaele et al, 1998), O 3 (Burrows et al, 1999) and H 2 O (Harder and Brault, 1997), are fitted to the measured spectra. The air-mass factor (AMF), defined as the ratio of the SCD to the vertical column density (VCD), is needed in order to convert SCD into VCD (Solomon et al, 1987).…”

Section: Omi Tropospheric No 2 Vcd Retrievalmentioning

confidence: 99%

NO<sub>2</sub> measurements in Hong Kong using LED based long path differential optical absorption spectroscopy

et al. 2012

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Abstract. In this study we present the first long term measurements of atmospheric nitrogen dioxide (NO 2 ) using a LED based Long Path Differential Optical Absorption Spectroscopy (LP-DOAS) instrument. This instrument is measuring continuously in Hong Kong since December 2009, first in a setup with a 550 m absorption path and then with a 3820 m path at about 30 m to 50 m above street level. The instrument is using a high power blue light LED with peak intensity at 450 nm coupled into the telescope using a Y-fibre bundle. The LP-DOAS instrument measures NO 2 levels in the Kowloon Tong and Mongkok district of Hong Kong and we compare the measurement results to mixing ratios reported by monitoring stations operated by the Hong Kong Environmental Protection Department in that area. Hourly averages of coinciding measurements are in reasonable agreement (R = 0.74). Furthermore, we used the long-term data set to validate the Ozone Monitoring Instrument (OMI) NO 2 data product. Monthly averaged LP-DOAS and OMI measurements correlate well (R = 0.84) when comparing the data for the OMI overpass time. We analyzed weekly patterns in both data sets and found that the LP-DOAS detects a clear weekly cycle with a reduction on weekends during rush hour peaks, whereas OMI is not able to observe this weekly cycle due to its fix overpass time (13:30-14:30 LT -local time).

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Measurements of the NO2 absorption cross-section from 42 000 cm−1 to 10 000 cm−1 (238–1000 nm) at 220 K and 294 K

Cited by 779 publications

References 18 publications

Intercomparison of SCIAMACHY and OMI tropospheric NO₂ columns: Observing the diurnal evolution of chemistry and emissions from space

Intercomparison of SCIAMACHY and OMI tropospheric NO₂ columns: Observing the diurnal evolution of chemistry and emissions from space

Quantitative bias estimates for tropospheric NO<sub>2</sub> columns retrieved from SCIAMACHY, OMI, and GOME-2 using a common standard for East Asia

NO<sub>2</sub> measurements in Hong Kong using LED based long path differential optical absorption spectroscopy

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Measurements of the NO2 absorption cross-section from 42 000 cm−1 to 10 000 cm−1 (238–1000 nm) at 220 K and 294 K

Cited by 779 publications

References 18 publications

Intercomparison of SCIAMACHY and OMI tropospheric NO2 columns: Observing the diurnal evolution of chemistry and emissions from space

Intercomparison of SCIAMACHY and OMI tropospheric NO2 columns: Observing the diurnal evolution of chemistry and emissions from space

Quantitative bias estimates for tropospheric NO&lt;sub&gt;2&lt;/sub&gt; columns retrieved from SCIAMACHY, OMI, and GOME-2 using a common standard for East Asia

NO&lt;sub&gt;2&lt;/sub&gt; measurements in Hong Kong using LED based long path differential optical absorption spectroscopy

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Intercomparison of SCIAMACHY and OMI tropospheric NO₂ columns: Observing the diurnal evolution of chemistry and emissions from space

Intercomparison of SCIAMACHY and OMI tropospheric NO₂ columns: Observing the diurnal evolution of chemistry and emissions from space

Quantitative bias estimates for tropospheric NO<sub>2</sub> columns retrieved from SCIAMACHY, OMI, and GOME-2 using a common standard for East Asia

NO<sub>2</sub> measurements in Hong Kong using LED based long path differential optical absorption spectroscopy