We present a distributed system for storage, processing, three-dimensional visualisation and basic analysis of data from Earth-observing satellites. The database and the server have been designed for high performance and scalability, whereas the client is highly portable thanks to having been designed as a HTML5- and WebGL-based Web application. The system is based on the so-called MEAN stack, a modern replacement for LAMP which has steadily been gaining traction among high-performance Web applications. We demonstrate the performance of the system from the perspective of an user operating the client.
Another example is the highly popular UltraScale Visualisation Climate Data Analysis Tools (UV-CDAT) framework @cite_10 . UV-CDAT and our system complement rather than compete with each other: the latter attempts first and foremost to provide high-performance access to data, the latter focuses on data analysis.
@cite_10
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Collaboration across research, government, academic, and private sectors is integrating more than 70 scientific computing libraries and applications through a tailorable provenance framework, empowering scientists to exchange and examine data in novel ways.