Artigo de Periódico
OOF3: A Python engine for automating regional and coastal ocean forecasts
Date
2011Registration in:
1364-8152
v. 26, n. 5.
Author
Marta-Almeida, Martinho
Ruiz-Villarreal, Manuel
Otero, Pablo
Cobas, Marcos
Peliz, Álvaro
Nolasco, Rita
Cirano, Mauro
Pereira, Janini
Marta-Almeida, Martinho
Ruiz-Villarreal, Manuel
Otero, Pablo
Cobas, Marcos
Peliz, Álvaro
Nolasco, Rita
Cirano, Mauro
Pereira, Janini
Institutions
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.