Atlas
- A library for numerical weather prediction and climate modelling
This is a documentation for the Atlas project. To see high-level feature overview, or project goals, head over to the project homepage. For different versions of this documentation see here.
Atlas is a ECMWF library for parallel data-structures supporting unstructured grids and function spaces, with the aim to investigate alternative more scalable dynamical core options for Earth System models, and to support modern interpolation and product generation software
Atlas is predominantly C++ code, with main features available to Fortran codes through a F2003 interface. It requires some flavour of Unix (such as Linux). It is known to run on a number of systems, some of which are directly supported by ECMWF.
What's new?
Curious about what was added or improved recently? Check out the Changelog
Contributing
Contributions to Atlas are welcome. In order to do so, please open an issue where a feature request or bug can be discussed. Then issue a pull request with your contribution. Pull requests must be issued against the develop branch.
Citing Atlas
If you publish work which mentions Atlas, or Atlas has been useful in your research, please cite the following paper:
@article{DECONINCK2017188,
title = "Atlas : A library for numerical weather prediction and climate modelling",
journal = "Computer Physics Communications",
volume = "220",
pages = "188 - 204",
year = "2017",
issn = "0010-4655",
doi = "https://doi.org/10.1016/j.cpc.2017.07.006",
url = "http://www.sciencedirect.com/science/article/pii/S0010465517302138",
author = "Willem Deconinck and Peter Bauer and Michail Diamantakis and Mats Hamrud and Christian Kühnlein and Pedro Maciel and Gianmarco Mengaldo and Tiago Quintino and Baudouin Raoult and Piotr K. Smolarkiewicz and Nils P. Wedi",
keywords = "Numerical weather prediction, Climate, Earth system, High performance computing, Meteorology, Flexible mesh data structure"
}