Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 4
Articles | Volume 13, issue 4
https://doi.org/10.5194/amt-13-1735-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-1735-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 4
Research article
 | 
07 Apr 2020
Research article |  | 07 Apr 2020

Discrete-wavelength DOAS NO2 slant column retrievals from OMI and TROPOMI

Cristina Ruiz Villena, Jasdeep S. Anand, Roland J. Leigh, Paul S. Monks, Claire E. Parfitt, and Joshua D. Vande Hey

Data sets

Goddard Earth Sciences Data and Information Services Center - OMI Data National Aeronautics and Space Administration (NASA) https://disc.gsfc.nasa.gov/datasets?page=1&source=AURA\%20OMI

Tropospheric Emission Monitoring Internet Service - Regional Tropospheric NO2 columns from OMI KNMI http://temis.nl/airpollution/no2col/no2regioomi_qa.php

Tropospheric Emission Monitoring Internet Service - Regional Tropospheric NO2 columns from TROPOMI KNMI http://temis.nl/airpollution/no2col/no2regio_tropomi.php

Sentinel-5P Pre-Operations Data Hub European Space Agency (ESA) https://s5phub.copernicus.eu/dhus/#/home

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Short summary
We present a new method to derive NO2 concentrations from satellite observations that uses up to 30 times less spectral information than traditional methods. We tested the method using data from existing instruments OMI and TROPOMI and found our results agree with the reference data to 5 % and 11 %, respectively. Our method could allow for simpler instrument designs that can be used in low-cost constellations of small satellites for air quality monitoring at high spatial and temporal resolution.
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