Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
Articles | Volume 11, issue 12
Articles | Volume 11, issue 12
Atmos. Meas. Tech., 11, 6651–6678, 2018
https://doi.org/10.5194/amt-11-6651-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 11, 6651–6678, 2018
https://doi.org/10.5194/amt-11-6651-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 12

Research article 17 Dec 2018

Research article | 17 Dec 2018

Improving algorithms and uncertainty estimates for satellite NO2 retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project

K. Folkert Boersma et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Folkert Boersma on behalf of the Authors (12 Nov 2018)  Author's response    Manuscript
ED: Publish as is (25 Nov 2018) by Lok Lamsal
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Short summary
This paper describes a new, improved data record of 22+ years of coherent nitrogen dioxide (NO2) pollution measurements from different satellite instruments. Our work helps to ensure that climate data are of sufficient quality to draw reliable conclusions and shape decisions. It shows how dedicated intercomparisons of retrieval sub-steps have led to improved NO2 measurements from the GOME, SCIAMACHY, GOME-2(A), and OMI sensors, and how quality assurance of the new data product is achieved.
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