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

Dades identificatives

Identificador: TDX:4348

Handle: https://hdl.handle.net/20.500.11797/TDX4348

Autors:
Iglesias Deutú, Jordi
Altres:

Data: 2023-12-13 2024-01-24T11:36:00Z 2024-01-24T11:36:00Z
Departament/Institut: Departament d'Enginyeria Mecànica Universitat Rovira i Virgili.
Idioma: eng
Identificador: http://hdl.handle.net/10803/689850
Font: TDX (Tesis Doctorals en Xarxa)
Autor: Iglesias Deutú, Jordi
Director: Solé Ollé, Jordi Salueña Pérez, Clara Cuesta Romeo, Ildefonso
Format: application/pdf 149 p.
Editor: Universitat Rovira i Virgili
Paraula Clau: Meteorology Meteorologia Machine Learning COAWST
Títol: 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
Matèria: 62 504 37 0 Enginyeria i arquitectura Meteorology Meteorologia Machine Learning COAWST

Paraules clau:

62
504
37
0
Enginyeria i arquitectura
Meteorology
Meteorologia
Machine Learning
COAWST
Documents:
Cerca a google