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

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