Tesis doctorals> Departament d'Enginyeria Mecànica

Analysis of the Effects of Severe Weather with the COAWST- Model Comparing Coupled and Decoupled Simulations, as well as Using Machine Learning Algorithms to Predict the Impact on Populations

  • Identification data

    Identifier: TDX:4348
    Handle: http://hdl.handle.net/20.500.11797/TDX4348

  • Authors:

    Iglesias Deutú, Jordi

  • Others:

    Date: 2023-12-13 2024-01-24T11:36:00Z 2024-01-24T11:36:00Z
    Departament/Institute: Departament d'Enginyeria Mecànica Universitat Rovira i Virgili.
    Language: eng
    Identifier: http://hdl.handle.net/10803/689850
    Source: TDX (Tesis Doctorals en Xarxa)
    Author: Iglesias Deutú, Jordi
    Director: Solé Ollé, Jordi Salueña Pérez, Clara Cuesta Romeo, Ildefonso
    Format: application/pdf 149 p.
    Publisher: Universitat Rovira i Virgili
    Keywords: Meteorology Meteorologia Machine Learning COAWST
    Title: Analysis of the Effects of Severe Weather with the COAWST- Model Comparing Coupled and Decoupled Simulations, as well as Using Machine Learning Algorithms to Predict the Impact on Populations
    Subject: 62 504 37 0 Enginyeria i arquitectura Meteorology Meteorologia Machine Learning COAWST

  • Keywords:

    62
    504
    37
    0
    Enginyeria i arquitectura
    Meteorology
    Meteorologia
    Machine Learning
    COAWST

  • Documents:

  • Cerca a google

    Search to google scholar