Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/25523
Title: | OOFɛ: a Python engine for automating regional and coastal ocean forecasts |
Author: | Marta-Almeida, Martinho Ruiz-Villarreal, Manuel Otero, Pablo Cobas, Marcos Peliz, Alvaro Nolasco, Rita Cirano, Mauro Pereira, Janini |
Keywords: | Operational modelling Ocean forecast Python ROMS |
Issue Date: | 2011 |
Publisher: | Elsevier |
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 OOFɛ – 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. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/25523 |
DOI: | 10.1016/j.envsoft.2010.11.015 |
ISSN: | 1364-8152 |
Appears in Collections: | CESAM - Artigos |
Files in This Item:
File | Description | Size | Format | |
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Marta-Almeida et al. - 2011 - OOF epsilon A Python engine for automating region.pdf | 105.51 kB | Adobe PDF |
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