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https://repositorio.ufba.br/handle/ri/5465
metadata.dc.type: | Artigo de Periódico |
Título : | OOF3: A Python engine for automating regional and coastal ocean forecasts |
Otros títulos : | ENVIRONMENTAL MODELLING & SOFTWARE |
Autor : | 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 |
Resumen : | 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. |
Palabras clave : | Operational modelling Ocean forecast Python ROMS |
URI : | http://www.repositorio.ufba.br/ri/handle/ri/5465 |
Fecha de publicación : | 2011 |
Aparece en las colecciones: | Artigo Publicado em Periódico (IGEO) |
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