OOF: A Python engine for automating regional and coastal ocean forecasts

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• 作者：Martinho Marta-Almeida^a ; ^mma@ua.pt ; Manuel Ruiz-Villarreal^b ; Pablo Otero^b ; Marcos Cobas^b ; Alvaro Peliz^c ; Rita Nolasco^a ; Mauro Cirano^d ; Janini Pereira^d
• 关键词：Operational modelling ; Ocean forecast ; Python ; ROMS
• 刊名：Environmental Modelling and Software
• 出版年：2011
• 出版时间：May 2011
• 年：2011
• 卷：26
• 期：5
• 页码：680-682
• 全文大小：105 K

文摘

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 OOF – 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.