EGU24-15017, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-15017
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Advanced retrieval of sulfur dioxide from TROPOMI using COBRA

Nicolas Theys1, Jonas Vlietinck1, Huan Yu1, Isabelle De Smedt1, Lorenzo Fabris1, Hugues Brenot1, Jeroen van Gent1, Sander Niemeijer2, Fabian Romahn3, Pascal Hedelt3, Diego Loyola3, and Michel Van Roozendael1
Nicolas Theys et al.
  • 1BIRA-IASB, Bruxelles, Belgium (theys@aeronomie.be)
  • 2Science and Technology (S&T), Delft, The Netherlands
  • 3Institut für Methodik der Fernerkundung (IMF), Deutsches Zentrum für Luft und Raumfahrt (DLR), Oberpfaffenhofen, Germany

Owing to its high spatial resolution, the TROPOspheric Monitoring Instrument (TROPOMI) launched in 2017 onboard the Sentinel-5 Precursor (S5P) platform provides important information on global volcanic and anthropogenic SO2 emissions, with an unprecedented level of details.

In a recent study (Theys et al., 2021), we proposed an approach called Covariance-Based Retrieval Algorithm (COBRA), different from the classical Differential Optical Absorption Spectroscopy (DOAS). Application of COBRA to TROPOMI SO2 column retrievals leads to a significant reduction of the retrieval noise and biases as compared to the TROPOMI operational (DOAS-based) SO2 product. COBRA even reveals new emission sources in long-term averaged SO2 maps.

In view of a future operational deployment (planned end 2024), the COBRA SO2 scheme is being implemented as part of the Copernicus S5-P Product Algorithm Laboratory (PAL). In this poster, we give an update of TROPOMI COBRA SO2 results. The latest developments of COBRA S5P-PAL v2 algorithm are presented and discussed. The pre-operational S5P-PAL environment enables a full reprocessing of TROPOMI data. For several examples, we illustrate the COBRA data set for the long-term monitoring of SO2 columns over both anthropogenic and volcanic scenes. Finally, possible future developments of COBRA are discussed.

 

Theys, N., Fioletov, V., Li, C., De Smedt, I., Lerot, C., McLinden, C., Krotkov, N., Griffin, D., Clarisse, L., Hedelt, P., Loyola, D., Wagner, T., Kumar, V., Innes, A., Ribas, R., Hendrick, F., Vlietinck, J., Brenot, H., and Van Roozendael, M.: A Sulfur Dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources, Atmos. Chem. Phys., 21, 16727–16744, https://doi.org/10.5194/acp-21-16727-2021, 2021.

 

How to cite: Theys, N., Vlietinck, J., Yu, H., De Smedt, I., Fabris, L., Brenot, H., van Gent, J., Niemeijer, S., Romahn, F., Hedelt, P., Loyola, D., and Van Roozendael, M.: Advanced retrieval of sulfur dioxide from TROPOMI using COBRA, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15017, https://doi.org/10.5194/egusphere-egu24-15017, 2024.