OMI level 0 to 1b processing and operational aspects

Oord, G. H. J. van den; Rozemeijer, Nico; Schenkelaars, V.; Levelt, P. F.; Dobber, Marcel; Voors, Robert; Claas, J.; Vries, J. de; Linden, Mark ter; Haan, Cornelis de; Berg, T. van de

doi:10.1109/tgrs.2006.872935

Cited by 34 publications

(30 citation statements)

References 3 publications

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“…Key processes included are mass conserved tracer advection, convective tracer transport, boundary layer diffusion, photolysis, dry and wet deposition as well as tropospheric chemistry including non-methane hydrocarbons to account for chemical loss by reaction with OH (Houweling et al, 1998). In TM4, anthropogenic and natural emissions of NO x are based on results from the EU POETproject (Precursors of Ozone and their Effects on the Troposphere) for the year 1997 (Olivier et al, 2003). Including free tropospheric emissions from air traffic (0.8 Tg N/yr) and lightning (5 Tg N/yr), total NO x emissions for 1997 amount to 46 Tg N/yr.…”

Section: Data Transportmentioning

confidence: 99%

Near-real time retrieval of tropospheric NO2 from OMI

et al. 2007

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Abstract. We present a new algorithm for the near-real time retrieval -within 3 h of the actual satellite measurement -of tropospheric NO 2 columns from the Ozone Monitoring Instrument (OMI). The retrieval is based on the combined retrieval-assimilation-modelling approach developed at KNMI for off-line tropospheric NO 2 from the GOME and SCIAMACHY satellite instruments. We have adapted the off-line system such that the required a priori informationprofile shapes and stratospheric background NO 2 -is now immediately available upon arrival (within 80 min of observation) of the OMI NO 2 slant columns and cloud data at KNMI. Slant columns for NO 2 are retrieved using differential optical absorption spectroscopy (DOAS) in the 405-465 nm range. Cloud fraction and cloud pressure are provided by a new cloud retrieval algorithm that uses the absorption of the O 2 -O 2 collision complex near 477 nm. Online availability of stratospheric slant columns and NO 2 profiles is achieved by running the TM4 chemistry transport model (CTM) forward in time based on forecast ECMWF meteo and assimilated NO 2 information from all previously observed orbits. OMI NO 2 slant columns, after correction for spurious across-track variability, show a random error for individual pixels of approximately 0.7×10 15

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Section: Data Transportmentioning

confidence: 99%

Near-real time retrieval of tropospheric NO2 from OMI

et al. 2007

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“…The atmospheric O 3 , approximately 90 % of which resides in the stratosphere, changes little in nearby latitude in the same orbit (Fig. 8) (Smith, 1989). Therefore, the adjacent O 3 column not affected by the row anomaly could be chosen to represent the anomalous O 3 column at row 39 affected by the row anomaly.…”

Section: Row Anomaly Along the Full Orbitmentioning

confidence: 99%

“…2 OMI SO 2 PBL columns retrieval 2.1 BRD algorithm overview SO 2 PBL columns are retrieved from OMI measurements of the solar irradiance and the Earth radiance ( Van den Oord et al, 2002) in the ultraviolet (310.8 nm to 314.4 nm) using the BRD algorithm (Krotkov et al, 2006). In the BRD algorithm, the TOMS total ozone retrieval (OMTO3) (Bhartia and Wellemeyer, 2002) is firstly used to derive an initial estimate of total ozone (assuming zero SO 2 ), as well as the wavelength-independent LER.…”

Section: Introductionmentioning

confidence: 99%

Corrections for OMI SO2 BRD retrievals influenced by row anomalies

et al. 2012

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Abstract. Since June 2007, the Ozone Monitoring Instrument (OMI) Earth radiance data at specific viewing angles have been affected by the row anomaly, which causes large biases in sulfur dioxide (SO 2 ) columns retrieved using the band residual difference (BRD) algorithm. To improve global measurements of atmospheric SO 2 from OMI, we developed two correction approaches for the row anomaly effects in the northern latitudes and along the full orbit. Firstly the residual correction approach with median residual from a sliding 10 • latitude range, and with that near the Equator was used to remove the anomalous high SO 2 columns in the northern latitudes. Secondly, in the case of the row anomaly along the full orbit, the SO 2 biases caused by the anomalous ozone (O 3 ) column and underestimated Lambertian effective reflectivity (LER) were reduced, respectively, by using unaffected adjacent O 3 column and residual correction with median residual from a sliding 10 • latitude range. Comparisons with the OMI SO 2 columns processed with median residual from a sliding 30 • latitude range have illustrated the drastic improvements of our correction approaches under row anomaly conditions. The consistencies among the SO 2 columns inside and outside the row anomaly areas have also demonstrated the effectiveness of our correction approaches under row anomaly conditions. The analyses of the underestimation and the errors caused by the O 3 column and LER were conducted to understand the limitations of our correction approaches. The proposed approaches for the row anomaly effects can extend the valid range of OMI SO 2 Planetary Boundary Layer (PBL) data produced using the BRD algorithm.

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“…A proper understanding of air quality and tropospheric composition in general requires the quantification of the strength, distribution and variability of emissions of NO x , CO, aerosols, SO 2 , CH 4 and volatile organic compounds, and to identify the contribution of the different source categories, such as fossil fuel burning, agriculture, and natural emissions such as lightning. This should be complemented with a quantification of the rate and location of removal by chemical transformation in the atmosphere (oxidizing capacity), wet removal and dry deposition.…”

Section: The Strength and Distribution Of Sources And Sinks Of Trace mentioning

confidence: 99%

“…The Ozone Monitoring Instrument (OMI) on NASA's EOS-Aura satellite, that was launched on 15 July 2004, has demonstrated that tropospheric trace gas retrievals benefit tremendously from the combination of a large field-of-view and small ground pixels (13×24 km 2 at nadir) [1][2][3][4]. This combination optimizes the possibility for measuring cloud-free ground pixels.…”

Section: Introductionmentioning

confidence: 99%

TROPOMI and TROPI: UV/VIS/NIR/SWIR instruments

et al. 2006

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TROPOMI (Tropospheric Ozone-Monitoring Instrument) is a five-channel UV-VIS-NIR-SWIR non-scanning nadir viewing imaging spectrometer that combines a wide swath (114°) with high spatial resolution (10 × 10 km 2 ) . The instrument heritage consists of GOME on ERS-2, SCIAMACHY on Envisat and, especially, OMI on EOS-Aura. TROPOMI has even smaller ground pixels than OMI-Aura but still exceeds OMI's signal-to-noise performance. These improvements optimize the possibility to retrieve tropospheric trace gases. In addition, the SWIR capabilities of TROPOMI are far better than SCIAMACHY's both in terms of spatial resolution and signal to noise performance.TROPOMI is part of the TRAQ payload, a mission proposed in response to ESA's EOEP call. The TRAQ mission will fly in a non-sun synchronous drifting orbit at about 720 km altitude providing nearly global coverage. TROPOMI measures in the UV-visible wavelength region (270-490 nm), in a near-infrared channel (NIR) in the 710-775 nm range and has a shortwave infrared channel (SWIR) near 2.3 µm. The wide swath angle, in combination with the drifting orbit, allows measuring a location up to 5 times a day at 1.5-hour intervals. The spectral resolution is about 0.45 nm for UV-VIS-NIR and 0.25 nm for SWIR. Radiometric calibration will be maintained via solar irradiance measurements using various diffusers. The instrument will carry on-board calibration sources like LEDs and a white light source. Innovative aspects include the use of improved detectors in order to improve the radiation hardness and the spatial sampling capabilities. Column densities of trace gases (NO 2 , O 3 , SO 2 and HCHO) will be derived using primarily the Differential Optical Absorption Spectroscopy (DOAS) method. The NIR channel serves to obtain information on clouds and the aerosol height distribution that is needed for tropospheric retrievals. A trade-off study will be conducted whether the SWIR channel, included to determine column densities of CO and CH 4 , will be incorporated in TROPOMI or in the Fourier Transform Spectrometer SIFTI on TRAQ.The TROPI instrument is similar to the complete TROPOMI instrument (UV-VIS-NIR-SWIR) and is proposed for the CAMEO initiative, as described for the U.S. NRC Decadal Study on Earth Science and Applications from Space. CAMEO also uses a non-synchronous drifting orbit, but at a higher altitude (around 1500 km). The TROPI instrument design is a modification of the TROPOMI design to achieve identical coverage and ground pixel sizes from a higher altitude. In this paper capabilities of TROPOMI and TROPI are discussed with emphasis on the UV-VIS-NIR channels as the TROPOMI SWIR channel is described in a separate contribution [5].

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OMI level 0 to 1b processing and operational aspects

Cited by 34 publications

References 3 publications

Near-real time retrieval of tropospheric NO<sub>2</sub> from OMI

Near-real time retrieval of tropospheric NO<sub>2</sub> from OMI

Corrections for OMI SO<sub>2</sub> BRD retrievals influenced by row anomalies

TROPOMI and TROPI: UV/VIS/NIR/SWIR instruments

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OMI level 0 to 1b processing and operational aspects

Cited by 34 publications

References 3 publications

Near-real time retrieval of tropospheric NO&lt;sub&gt;2&lt;/sub&gt; from OMI

Near-real time retrieval of tropospheric NO&lt;sub&gt;2&lt;/sub&gt; from OMI

Corrections for OMI SO&lt;sub&gt;2&lt;/sub&gt; BRD retrievals influenced by row anomalies

TROPOMI and TROPI: UV/VIS/NIR/SWIR instruments

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Product

Resources

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Near-real time retrieval of tropospheric NO<sub>2</sub> from OMI

Near-real time retrieval of tropospheric NO<sub>2</sub> from OMI

Corrections for OMI SO<sub>2</sub> BRD retrievals influenced by row anomalies