Advancing measurements of tropospheric NO 2 from space: New algorithm and first global results from OMPS

We present a new algorithm based on the iterative spectral fitting technique for direct retrieval of nitrogen dioxide (NO 2 ) vertical columns from hyperspectral satellite measurements, and a new spatial technique for separating the stratospheric and tropospheric contributions to the total NO 2 vert...

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Bibliographic Details
Published inGeophysical research letters Vol. 41; no. 13; pp. 4777 - 4786
Main Authors Yang, Kai, Carn, Simon A., Ge, Cui, Wang, Jun, Dickerson, Russell R.
Format Journal Article
LanguageEnglish
Published 16.07.2014
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ISSN0094-8276
1944-8007
DOI10.1002/2014GL060136

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Summary:We present a new algorithm based on the iterative spectral fitting technique for direct retrieval of nitrogen dioxide (NO 2 ) vertical columns from hyperspectral satellite measurements, and a new spatial technique for separating the stratospheric and tropospheric contributions to the total NO 2 vertical columns. This direct vertical column fitting (DVCF) algorithm allows more complete treatment of underlying algorithm physics compared to the differential optical absorption spectroscopy technique and enables more accurate accounting for the effects of spectral and altitude variations in NO 2 measurement sensitivities. This DVCF algorithm and the stratosphere‐troposphere separation scheme are applied to ultraviolet measurements from the Nadir Mapper of the Ozone Mapping and Profiler Suite (OMPS) on the Suomi National Polar‐orbiting Partnership spacecraft. The first results demonstrate the potential of OMPS for sensitive global monitoring of tropospheric NO 2 . Comparisons show good agreement with Aura Ozone Monitoring Instrument (OMI) tropospheric NO 2 data and that OMPS data have sufficient quality to continue and extend OMI NO 2 data records. First one‐step vertical NO 2 column retrieval from a new direct fitting algorithm A new spatial technique for reliable stratosphere‐troposphere NO 2 separation Demonstration of sensitive global tropospheric NO 2 measurements from SNPP OMPS
ISSN:0094-8276
1944-8007
DOI:10.1002/2014GL060136