2006
DOI: 10.1109/tgrs.2006.872333
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The ozone monitoring instrument

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Cited by 1,847 publications
(1,311 citation statements)
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“…The OMI instrument is described by Levelt et al (2006). OMI is a nadir UV/visible imaging spectrometer.…”
Section: Comparison With Omimentioning
confidence: 99%
“…The OMI instrument is described by Levelt et al (2006). OMI is a nadir UV/visible imaging spectrometer.…”
Section: Comparison With Omimentioning
confidence: 99%
“…OMI is an imaging spectrometer measuring atmospheric trace gases such as NO 2 and O 3 (Levelt et al, 2006). It is on board the Earth Observing System's (EOS) Aura satellite which was launched on 15 July 2004 and is collecting data since 9 August 2004, providing more than 6 yr of daily global NO 2 maps (Boersma et al, 2007).…”
Section: The Ozone Monitoring Instrumentmentioning
confidence: 99%
“…The change in ground pixel size, and hence spatial resolution, must be taken into account when analyzing and interpreting OMI data. A more detailed description of the OMI instrument can be found in Levelt et al (2006).…”
Section: The Ozone Monitoring Instrumentmentioning
confidence: 99%
“…Measurements of ultraviolet-visible (UV-VIS) radiation needed to perform atmospheric chemistry retrievals of ozone (O 3 ) and its precursors have been made from platforms in LEO for the past 22 years beginning with the launch of the Global Ozone Monitoring Experiment (GOME) in 1996 , and continuing with the launch of the Ozone Monitoring Instrument (OMI) in 2004 (Levelt et al, 2006), SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) in 2002 (Bovensmann et al, 1999), GOME-2 in 2006 and 2013 (Callies et al, 2000), the Ozone Mapping and Profiler Suite Nadir Mapper (OMPS NM) in 2011 and 2017 (Flynn et al, 2004;Yang et al, 2014), and the TROPOspheric Monitoring Instrument (TROPOMI) in 2017. These data have been useful for understanding global (e.g., Martin et al, 2003;Jaegl et al, 2005), regional (e.g., Duncan et al, 2016;Travis et al, 2016) and local air quality (e.g., Zhu et al, 2017) over daily (e.g., Valin et al, 2014;de Foy et al, 2016), seasonal (e.g., Russell et al, 2010), interannual, and decadal time periods (van der et al, 2008;De Smedt et al, 2015).…”
Section: Introductionmentioning
confidence: 99%