Articles | Volume 13, issue 3
https://doi.org/10.5194/amt-13-1413-2020
https://doi.org/10.5194/amt-13-1413-2020
Research article
 | 
30 Mar 2020
Research article |  | 30 Mar 2020

Shipborne MAX-DOAS measurements for validation of TROPOMI NO2 products

Ping Wang, Ankie Piters, Jos van Geffen, Olaf Tuinder, Piet Stammes, and Stefan Kinne

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Cited articles

Alliwell, S. R., Van Roozendael, M., Johnston, P. V., Richter, A., Wagner, T., Arlander, D. W., Burrows, J. P., Fish, D. J., Jones, R. L., Karlsen Tørnkvist, K., Lambert, J.-C., Pfeilsticker, K., and Pundt, I.: Analysis for BrO in zenith-sky spectra – an intercomparison exercise for analysis improvement, J. Geophys. Res., 107, 4199, https://doi.org/10.1029/2001JD000329, 2002. a
Anderson, G. P., Clough, S. A., Kneizys, F. X., Chetwynd, J. H., Shettle, E. P.: AFGL Atmospheric Constituent Profiles, Technical report, Air Force Geophysics Laboratory, Hanscom AFB, MA, aFGL–TR–86–0110, 1986. a
Bais, A., Dils, B., Gielen, C., Hendrick, F., Pinardi, G., Peters, E., Piters, A., Remmers, J., Richter, A., Wagner, T., Wang, S., and Wang, Y.: Quality indicators on uncertainties and representativity of atmospheric reference data, QA4ECV Report/Deliverable no. D3.9 version 1.0, available at: http://www.qa4ecv.eu/sites/default/files/D3.9.pdf (last access: 23 March 2020), 2016. a
Behrens, L. K., Hilboll, A., Richter, A., Peters, E., Alvarado, L. M. A., Kalisz Hedegaard, A. B., Wittrock, F., Burrows, J. P., and Vrekoussis, M.: Detection of outflow of formaldehyde and glyoxal from the African continent to the Atlantic Ocean with a MAX-DOAS instrument, Atmos. Chem. Phys., 19, 10257–10278, https://doi.org/10.5194/acp-19-10257-2019, 2019. a, b, c, d
Beirle, S., Hörmann, C., Jöckel, P., Liu, S., Penning de Vries, M., Pozzer, A., Sihler, H., Valks, P., and Wagner, T.: The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution, Atmos. Meas. Tech., 9, 2753–2779, https://doi.org/10.5194/amt-9-2753-2016, 2016. a
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Short summary
The comparison of shipborne MAX-DOAS and TROPOMI NO2 products is important for the evaluation of the TROPOMI products. The ship cruises were mainly over remote oceans, thus we only measured background tropospheric NO2. Stratospheric NO2 was measured more accurately because there was almost no contamination from tropospheric NO2. We found that the TROPOMI stratospheric NO2 vertical column densities were slightly higher than the MAX-DOAS measurements.
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