Articles | Volume 10, issue 11
https://doi.org/10.5194/amt-10-4079-2017
https://doi.org/10.5194/amt-10-4079-2017
Research article
 | 
01 Nov 2017
Research article |  | 01 Nov 2017

Aerosol-type retrieval and uncertainty quantification from OMI data

Anu Kauppi, Pekka Kolmonen, Marko Laine, and Johanna Tamminen

Related authors

Bayesian uncertainty quantification in aerosol optical depth retrieval applied to TROPOMI measurements
Anu Kauppi, Antti Kukkurainen, Antti Lipponen, Marko Laine, Antti Arola, Hannakaisa Lindqvist, and Johanna Tamminen
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-328,https://doi.org/10.5194/amt-2021-328, 2021
Revised manuscript not accepted
Short summary
Overview of the O3M SAF GOME-2 operational atmospheric composition and UV radiation data products and data availability
S. Hassinen, D. Balis, H. Bauer, M. Begoin, A. Delcloo, K. Eleftheratos, S. Gimeno Garcia, J. Granville, M. Grossi, N. Hao, P. Hedelt, F. Hendrick, M. Hess, K.-P. Heue, J. Hovila, H. Jønch-Sørensen, N. Kalakoski, A. Kauppi, S. Kiemle, L. Kins, M. E. Koukouli, J. Kujanpää, J.-C. Lambert, R. Lang, C. Lerot, D. Loyola, M. Pedergnana, G. Pinardi, F. Romahn, M. van Roozendael, R. Lutz, I. De Smedt, P. Stammes, W. Steinbrecht, J. Tamminen, N. Theys, L. G. Tilstra, O. N. E. Tuinder, P. Valks, C. Zerefos, W. Zimmer, and I. Zyrichidou
Atmos. Meas. Tech., 9, 383–407, https://doi.org/10.5194/amt-9-383-2016,https://doi.org/10.5194/amt-9-383-2016, 2016
Short summary
Comparison of GOME-2/Metop-A ozone profiles with GOMOS, OSIRIS and MLS measurements
A. Kauppi, O. N. E. Tuinder, S. Tukiainen, V. Sofieva, and J. Tamminen
Atmos. Meas. Tech., 9, 249–261, https://doi.org/10.5194/amt-9-249-2016,https://doi.org/10.5194/amt-9-249-2016, 2016
Short summary
Quantification of uncertainty in aerosol optical thickness retrieval arising from aerosol microphysical model and other sources, applied to Ozone Monitoring Instrument (OMI) measurements
A. Määttä, M. Laine, J. Tamminen, and J. P. Veefkind
Atmos. Meas. Tech., 7, 1185–1199, https://doi.org/10.5194/amt-7-1185-2014,https://doi.org/10.5194/amt-7-1185-2014, 2014

Related subject area

Subject: Aerosols | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Multi-layer retrieval of aerosol optical depth in the troposphere using SEVIRI data: a case study of the European continent
Maryam Pashayi, Mehran Satari, and Mehdi Momeni Shahraki
Atmos. Meas. Tech., 18, 1415–1439, https://doi.org/10.5194/amt-18-1415-2025,https://doi.org/10.5194/amt-18-1415-2025, 2025
Short summary
Star photometry with all-sky cameras to retrieve aerosol optical depth at night-time
Roberto Román, Daniel González-Fernández, Juan Carlos Antuña-Sánchez, Celia Herrero del Barrio, Sara Herrero-Anta, África Barreto, Victoria E. Cachorro, Lionel Doppler, Ramiro González, Christoph Ritter, David Mateos, Natalia Kouremeti, Gustavo Copes, Abel Calle, María José Granados-Muñoz, Carlos Toledano, and Ángel M. de Frutos
EGUsphere, https://doi.org/10.5194/egusphere-2025-667,https://doi.org/10.5194/egusphere-2025-667, 2025
Short summary
Ground-based contrail observations: comparisons with reanalysis weather data and contrail model simulations
Jade Low, Roger Teoh, Joel Ponsonby, Edward Gryspeerdt, Marc Shapiro, and Marc E. J. Stettler
Atmos. Meas. Tech., 18, 37–56, https://doi.org/10.5194/amt-18-37-2025,https://doi.org/10.5194/amt-18-37-2025, 2025
Short summary
Improvements in aerosol layer height retrievals from TROPOMI oxygen A-band measurements by surface albedo fitting in optimal estimation
Martin de Graaf, Maarten Sneep, Mark ter Linden, L. Gijsbert Tilstra, and J. Pepijn Veefkind
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-198,https://doi.org/10.5194/amt-2024-198, 2025
Revised manuscript accepted for AMT
Short summary
Satellite Aerosol Composition Retrieval from a combination of three different Instruments: Information content analysis
Ulrike Stöffelmair, Thomas Popp, Marco Vountas, and Hartmut Bösch
EGUsphere, https://doi.org/10.5194/egusphere-2024-2800,https://doi.org/10.5194/egusphere-2024-2800, 2024
Short summary

Cited articles

Ahn, C., Torres, O., and Bhartia, P. K.: Comparison of ozone monitoring instrument UV aerosol products with Aqua/Moderate Resolution Imaging Spectroradiometer and Multiangle Imaging Spectroradiometer observations in 2006, J. Geophys. Res.-Atmos., 113, D16S27, https://doi.org/10.1029/2007JD008832, 2008.
Ahn, C., Torres, O., and Jethva, H.: Assessment of OMI near-UV aerosol optical depth over land, J. Geophys. Res.-Atmos., 119, 2457–2473, https://doi.org/10.1002/2013JD020188, 2014.
Benedetti, A., Morcrette, J.-J., Boucher, O., Dethof, A., Engelen, R. J., Fisher, M., Flentje, H., Huneeus, N., Jones, L., Kaiser, J. W., Kinne, S., Mangold, A., Razinger, M., Simmons, A. J., and Suttie, M.: Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2. Data assimilation, J. Geophys. Res., 114, D13205, https://doi.org/10.1029/2008JD011115, 2009.
Bovensmann, H., Burrows, J. P., Buchwitz, M., Frerick, J., Noël, S., Rozanov, V. V., Chance, K. V., and Goede, A. P. H.: SCIAMACHY: Mission objectives and measurement modes, J. Atmos. Sci., 56, 127–150, 1999.
Brynjarsdóttir, J. and O'Hagan, A.: Learning about physical parameters: the importance of model discrepancy, Inverse problems, 30, 114007, https://doi.org/10.1088/0266-5611/30/11/114007, 2014.
Download
Short summary
The paper focuses on the aerosol microphysical model selection and characterisation of uncertainty in the retrieved aerosol type and aerosol optical depth (AOD). The proposed method is based on Bayesian inference approach and can account for the model error and also include the model selection uncertainty in the total uncertainty budget. The method is applied to OMI measurements but is also applicable to other instruments. The retrieval was evaluated by comparison with ground-based measurements.
Share