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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 13, issue 4
Atmos. Meas. Tech., 13, 1735–1756, 2020
https://doi.org/10.5194/amt-13-1735-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 13, 1735–1756, 2020
https://doi.org/10.5194/amt-13-1735-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 07 Apr 2020

Research article | 07 Apr 2020

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

Cristina Ruiz Villena et al.

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

Publications Copernicus
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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.
We present a new method to derive NO2 concentrations from satellite observations that uses up to...
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