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

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: https://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
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