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Making some of the Integrated Forecasting System open source | |
admin | |
2022-06-07 | |
发布年 | 2022 |
语种 | 英语 |
国家 | 欧洲 |
领域 | 地球科学 ; 气候变化 |
正文(英文) |
ECMWF is starting to make some of its Integrated Forecasting System (IFS) available on an open-source basis to facilitate collaboration on the code. Some of the code is already available on the internet: a GitHub space has been created to host open-source IFS components. The merits of moving the full IFS forecast model to open source in the future will be reviewed this year in consultation with ECMWF’s Member States. AimsThe main aim of the move is enhanced collaboration. Removing restrictions on redistribution could make working with ECMWF more attractive to collaborators who wish to work with their partners. Contributing to open-source codes could also be more attractive to academic partners. Another aim is greater efficiency. There currently is a mix of bespoke licences and open-source material which is time-consuming to handle. Some journals also require open access to the codes used. A third reason is to position ECMWF and its Member States at the centre of international efforts on emerging high-performance computing architectures. Making IFS code open source should encourage work on the IFS by computational science experts in academia and vendors. Current availabilityThe IFS GitHub space contains code released primarily to support pre-existing collaborations. While available to anyone, code in the IFS space is not generally supported. It currently contains the following elements:
Further components agreed to become open source soon are:
The GitHub space for elements of the IFS contains code released primarily to support pre-existing collaborations. The next stepsECMWF, in consultation with its Member States, will consider the benefits of moving the full IFS forecast model to open source. This could have some significant advantages for collaboration and efficiency. Further details can be found in a recent ECMWF Newsletter article. |
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来源平台 | European Centre for Medium-Range Weather Forecasts |
文献类型 | 新闻 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/349060 |
专题 | 地球科学 气候变化 |
推荐引用方式 GB/T 7714 | admin. Making some of the Integrated Forecasting System open source. 2022. |
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