2017
DOI: 10.5194/amt-10-2533-2017
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A climate-scale satellite record for carbon monoxide: the MOPITT Version 7 product

Abstract: Abstract. The MOPITT (Measurements of Pollution in the Troposphere) satellite instrument has been making observations of atmospheric carbon monoxide since 2000. Recent enhancements to the MOPITT retrieval algorithm have resulted in the release of the version 7 (V7) product. Improvements include (1) representation of growing atmospheric concentrations of N2O, (2) use of meteorological fields from the MERRA-2 (Modern-Era Retrospective Analysis for Research and Applications) reanalysis for the entire MOPITT missi… Show more

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Cited by 92 publications
(115 citation statements)
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“…MOPITT retrieval products have progressively improved as the result of improved understanding of the instrument, advances in forward modeling methods, and a variety of algorithm enhancements (Worden et al, ). Results presented in this manuscript are based on the MOPITT Version 7 (V7) “multispectral” TIR‐NIR product (Deeter et al, ). This product variant provides greater vertical resolution than either the TIR‐only or NIR‐only variants.…”
Section: Instruments and Data Setsmentioning
confidence: 99%
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“…MOPITT retrieval products have progressively improved as the result of improved understanding of the instrument, advances in forward modeling methods, and a variety of algorithm enhancements (Worden et al, ). Results presented in this manuscript are based on the MOPITT Version 7 (V7) “multispectral” TIR‐NIR product (Deeter et al, ). This product variant provides greater vertical resolution than either the TIR‐only or NIR‐only variants.…”
Section: Instruments and Data Setsmentioning
confidence: 99%
“…The MOPITT retrieval algorithm employs optimal estimation (Deeter et al, ). Through the use of a cloud mask based on collocated Moderate Resolution Imaging Spectroradiometer (MODIS) observations and MOPITT's own calibrated radiances, only clear‐sky observations are processed by the retrieval algorithm.…”
Section: Instruments and Data Setsmentioning
confidence: 99%
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