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

  • Datos identificativos

    Identificador: TDX:4348
    Handle: http://hdl.handle.net/20.500.11797/TDX4348
  • Autores:

    Iglesias Deutú, Jordi
  • Otros:

    Fecha: 2023-12-13 2024-01-24T11:36:00Z 2024-01-24T11:36:00Z
    Departamento/Instituto: Departament d'Enginyeria Mecànica Universitat Rovira i Virgili.
    Idioma: eng
    Identificador: http://hdl.handle.net/10803/689850
    Fuente: TDX (Tesis Doctorals en Xarxa)
    Autor: Iglesias Deutú, Jordi
    Director: Solé Ollé, Jordi Salueña Pérez, Clara Cuesta Romeo, Ildefonso
    Formato: application/pdf 149 p.
    Editor: Universitat Rovira i Virgili
    Palabra clave: Meteorology Meteorologia Machine Learning COAWST
    Título: 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
    Materia: 62 504 37 0 Enginyeria i arquitectura Meteorology Meteorologia Machine Learning COAWST
  • Palabras clave:

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

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