OMI aerosol layer height Neural Network algorithm at EGU 2017!

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Dr. Pieternel Levelt presenting at EGU 2017, in Vienna, Austria, our recent work on aerosol layer height retrieval, based on a neural network approach, from OMI visible measurements. On 2017.04.26

Almost 1 week after the 3rd NASA A-Trains symposium in Pasadena (California, USA), was held the 2017 version of the European Geosciences Union (EGU) general assembly in Vienna, Austria. Several thousand scientists, from all over the world, working on multiple topics related to the climate system and its numerous components, were gathered there.

Several of our colleagues of the Geoscience & Remote sensing (GRS) / TU Delft research department gave talks on multiple topics such as rain observations, ice sheet melting monitoring & modelling, clouds, fine-scale atmospheric model. Though the GRS – TU Delft Twitter account, you can see pictures of the talks given by assistant professors and PhDs.

Furthermore, this was also a great opportunity for our specific group to promote our aerosol and trace gas satellite activities. Dr Pieternel Levelt, PI of OMI, part-time professor at TU-Delft & head of the satellite climate observations department at KNMI, attended the EGU 2017 conference to promote our recent works. In particular, she showed the 1-year development of the OMI aerosol layer height neural network algorithm based on the O2-O2 visible measurements (Chimot et al., 2017), and its recent evaluation over specific case studies of urban and biomass burning events by comparison with CALIOP measurements.

The following poster was presented: “Chimot J., Veefkind P., Vlemmix T., Levelt P., Aerosol layer height retrieval from satellite visible measurements – Application to OMI 477 nm O2-O2 spectral band, based on neural networks, EGU 2017, Vienna, Austria, 2017.04.26“.

Many thanks to Pieternel, and all the EGU participants who stopped to see it! Looking forward to EGU 2018!

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At the ESA stand of EGU 2017, Dr. Pieternel Levelt and the TROPOMI Sentinel-5 Precursor model. On 2017.04.25

More information?

  • EGU 2017 here
  • GRS – TU Deft Twitter account here
  • Chimot et al., 2017: Chimot, J., Veefkind, J. P., Vlemmix, T., de Haan, J. F., Amiridis, V., Proestakis, E., Marinou, E., and Levelt, P. F.: An exploratory study on the aerosol height retrieval from OMI measurements of the 477  nm O2 − O2 spectral band using a neural network approach, Atmos. Meas. Tech., 10, 783-809, doi:10.5194/amt-10-783-2017, 2017 here
  • Poster at EGU 2017: Chimot J., Veefkind P., Vlemmix T., Levelt P., Aerosol layer height retrieval from satellite visible measurements – Application to OMI 477 nm O2-O2 spectral band, based on neural networks, EGU 2017, Vienna, Austria, 2017.04.26 here

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