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  • thesis_main

    Final published version, 40 MB, PDF-document

DOI

  • Julien Chimot
The main objective of this thesis is to design a new aerosol layer height retrieval in order to improve the operational NO2 retrieval, both in the troposphere, from space-borne instruments for highly polluted events and under cloud-free conditions. This thesis focuses on the exploitation of the OMI satellite measurements acquired in the visible wavelength range (405-490 nm). In addition, we develop numerical methods and tools (e.g. machine learning) in order to support the operational processing of big data amounts from the forthcoming new-generation satellite instruments for air quality and climate research.
Original languageEnglish
Awarding Institution
Supervisors/Advisors
Award date10 Sep 2018
Print ISBNs978-94-6366-010-5
DOIs
Publication statusPublished - 2018

    Research areas

  • trace gas, aerosol, cloud, air quality, climate, satellite remote sensing, atmospheric retrieval, spectral signature, radiation scattering, absorption

ID: 45686423