Please use this identifier to cite or link to this item: https://repositorio.ufba.br/handle/ri/5465
metadata.dc.type: Artigo de Periódico
Title: OOF3: A Python engine for automating regional and coastal ocean forecasts
Other Titles: ENVIRONMENTAL MODELLING & SOFTWARE
Authors: Marta-Almeida, Martinho
Ruiz-Villarreal, Manuel
Otero, Pablo
Cobas, Marcos
Peliz, Álvaro
Nolasco, Rita
Cirano, Mauro
Pereira, Janini
metadata.dc.creator: 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.
Keywords: Operational modelling
Ocean forecast
Python
ROMS
URI: http://www.repositorio.ufba.br/ri/handle/ri/5465
Issue Date: 2011
Appears in Collections:Artigo Publicado em Periódico (IGEO)

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