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Research Output

  • 3 Article
  • 1 Conference contribution
  • 1 Dissertation (TU Delft)

Air quality forecast through integrated data assimilation and machine learning

Lin, H. X., Jin, J. & Van Den Herik, J., 2019, Proceedings of the 11th International Conference on Agents and Artificial Intelligence, ICAART 2019. van den Herik, J., Steels, L. & Rocha, A. (eds.). SciTePress, Vol. 2. p. 787-793 7 p.

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • 1 Citation (Scopus)

    Dust Emission Inversion Using Himawari-8 AODs Over East Asia: An Extreme Dust Event in May 2017

    Jin, J., Segers, A., Heemink, A., Yoshida, M., Han, W. & Lin, H. X., 2019, In : Journal of Advances in Modeling Earth Systems. 11, 2, p. 446-467 22 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 5 Citations (Scopus)
    35 Downloads (Pure)

    Dust storm emission inversion using data assimilation

    Jin, J., 3 Dec 2019, 147 p.

    Research output: ThesisDissertation (TU Delft)

    File
  • 36 Downloads (Pure)

    Machine learning for observation bias correction with application to dust storm data assimilation

    Jin, J., Lin, H. X., Segers, A., Xie, Y. & Heemink, A., 2019, In : Atmospheric Chemistry and Physics. 19, 15, p. 10009-10026 18 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 3 Citations (Scopus)
    43 Downloads (Pure)

    Spatially varying parameter estimation for dust emissions using reduced-tangent-linearization 4DVar

    Jin, J., Lin, H. X., Heemink, A. & Segers, A., 2018, In : Atmospheric Environment. 187, p. 358-373 16 p.

    Research output: Contribution to journalArticleScientificpeer-review

  • 5 Citations (Scopus)