08-25, 16:45–17:15 (Europe/Rome), Auditorium
The Copernicus Climate Change Service (C3S) Climate Data Store (CDS) is a single point of access to a wide range of free, quality-assured climate data, along with a suite of tools for performing cloud-based analysis and visualisation of very large datasets. Launched in 2018, the CDS provides over 100 datasets and 30 interactive applications for a global, interdisciplinary and intersectoral audience of over 100,000 users.
The Copernicus Data Store (CopDS) project aims to reimagine the CDS, making use of modern technologies and knowledge gained during the development of the existing system to expand and streamline its functionalities and improve its performance and scalability. We present a high-level blueprint of the in-development CopDS, with an emphasis on how we plan to overcome the limitations of the original CDS. We explore our plans for the development of a new suite of open-source Python tools for performing retrieval, analysis and visualisation of climate and atmospheric data under the CopDS project, along with our plans for offering free cloud-based infrastructure for processing and visualising very large datasets through an easy-to-use Python web interface. We also discuss the development of tools for transforming simple Python code into high-quality web applications for exploring CopDS climate and atmospheric datasets, providing tools for interactive mapping, graphical user interfaces and a results cache for responsiveness.
I am a data analyst and developer at ECMWF working on the Climate Data Store (CDS) project. My role ensures that the complex datasets available on the CDS are accessible and useful to a wider audience.
Prior to working at ECMWF I spent about 10 years in research roles in the fields of Earth Observation and Land Surface Modelling. Transitioning to the Climate Data Store project was an logical progression as it was clear to me that non-scientific communities need access to research outputs and data to make more informed decisions.
I am a Scientific Software Engineer working across the Web Services and Climate Data Store (CDS) teams at ECMWF. I develop Python tools and web applications for exploring, analysing and visualising climate data.