Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model
Numerical weather prediction (NWP) uses atmospheric general circulation models (AGCMs) to predict weather based on current weather conditions. The process of entering observation data into mathematical model to generate the accurate initial conditions is called data assimilation (DA). It combines ob...
- Autores:
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2018
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16800
- Acceso en línea:
- https://www.intechopen.com/books/advanced-applications-for-artificial-neural-networks/data-assimilation-by-artificial-neural-networks-for-an-atmospheric-general-circulation-model
http://hdl.handle.net/20.500.12010/16800
- Palabra clave:
- Redes neuronales artificiales
Predicción meteorológica
Campos meteorológicos
- Rights
- License
- Abierto (Texto Completo)