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:  https://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

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