Use este identificador para citar ou linkar para este item: https://repositorio.ufba.br/handle/ri/5465
Tipo: Artigo de Periódico
Título: OOF3: A Python engine for automating regional and coastal ocean forecasts
Título(s) alternativo(s): ENVIRONMENTAL MODELLING & SOFTWARE
Autor(es): Marta-Almeida, Martinho
Ruiz-Villarreal, Manuel
Otero, Pablo
Cobas, Marcos
Peliz, Álvaro
Nolasco, Rita
Cirano, Mauro
Pereira, Janini
Autor(es): Marta-Almeida, Martinho
Ruiz-Villarreal, Manuel
Otero, Pablo
Cobas, Marcos
Peliz, Álvaro
Nolasco, Rita
Cirano, Mauro
Pereira, Janini
Abstract: Coastal and regional ocean forecasts can be currently performed on a daily basis due to the advances in numerical techniques and in computational resources. Maintenance of routine forecasts is a demanding task from the point of view of software engineering since it involves a number of new additional tasks difficult to code efficiently in the compiled languages in which ocean models are written. In this contribution, we present a set of free, open-source, portable and fast modules named OOF3 e Operational Ocean Forecast Python Engine that provide a way to cope with the demanding requirements of routine execution of a regional ocean model written in a compiled language (namely the Regional Ocean Modelling System, ROMS, developed in Fortran) and that make the forecast process possible and fully automatic and robust.
Palavras-chave: Operational modelling
Ocean forecast
Python
ROMS
URI: http://www.repositorio.ufba.br/ri/handle/ri/5465
Data do documento: 2011
Aparece nas coleções:Artigo Publicado em Periódico (IGEO)

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