2001
DOI: 10.1029/2000jd900572
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Quantitative analysis of NOx emissions from Global Ozone Monitoring Experiment satellite image sequences

Abstract: Abstract. Nitric oxides (NOx) play a very important role among the anthropogenic trace gases. They affect human health and have an impact on ozone chemistry and climatic change. Here we describe a new method for the quantification of the global NOx budget from image sequences of the Global Ozone Monitoring Experiment (GOME) spectrometer on board the ERS 2 satellite. In contrast to measurements using ground-based or balloon-or aircraft-borne sensors, this instrument provides, for the first time, the possibility… Show more

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Cited by 271 publications
(306 citation statements)
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“…Satellite data from the Global Ozone Monitoring Experiment (GOME) (Burrows et al, 1999) confirm that, on a climatological basis, NO x is highly concentrated in its major source regions, implying an average NO x lifetime in the atmosphere of about 1 day (Leue et al, 2001). Nevertheless, two episodes where GOME showed ICT of NO x were recently described.…”
Section: Long-range No X Transportmentioning
confidence: 98%
“…Satellite data from the Global Ozone Monitoring Experiment (GOME) (Burrows et al, 1999) confirm that, on a climatological basis, NO x is highly concentrated in its major source regions, implying an average NO x lifetime in the atmosphere of about 1 day (Leue et al, 2001). Nevertheless, two episodes where GOME showed ICT of NO x were recently described.…”
Section: Long-range No X Transportmentioning
confidence: 98%
“…As a result of the short lifetime of NO 2 in the planetary boundary layer, observations from satellite show NO 2 to be strongly correlated to emission regions (Leue et al, 2001; …”
Section: Identification Of Potential Long-range Transport Eventsmentioning
confidence: 99%
“…GOME, SCIAMACHY, and OMI) provide valuable data for identifying and evaluating NO x emissions from surface sources [Leue et al, 2001, Martin et al, 2003Lamsal et al, 2011]. Martin et al [2003] described an inverse based top-down approach to estimate NO x emissions on a global scale using tropospheric NO 2 retrievals from GOME.…”
Section: Introductionmentioning
confidence: 99%