These open source libraries and open standards helped to implement the "Mission Support System", a Web Map Service based tool to support weather forecasting and flight planning during field campaigns. Of particular value are the Python programming language with its extension libraries NumPy, SciPy, PyQt4, Matplotlib and the basemap toolkit, the NetCDF standard with the Climate and Forecast (CF) Metadata conventions, and the Open Geospatial Consortium Web Map Service standard.
To forecast the weather situation during aircraft-based atmospheric field campaigns, we employ a tool chain of existing and self-developed open source software tools and open standards. Weather forecasting with open source software
This study revealed several findings which we believe could guide the healthcare community in its quest for successful open source clinical software projects. In this study we sought to characterize and classify existing clinical open source projects and to determine metrics for their viability. In order to better understand the open source movement in the clinical application domain, we undertook a study of existing open source clinical projects.
Existing clinical open source projects have not been well characterized nor formally studied so the ‘fit’ of open source in this domain is largely unknown. However, the clinical software development venue differs significantly from the mainstream software venue. This methodology has been proposed as being similarly viable and beneficial in the clinical application domain as well. Open source software development has recently gained significant interest due to several successful mainstream open source projects. A Study of Clinically Related Open Source Software Projects