The programming challenges of climate data analysis
summary
Describes current methods and tools for analysing large climate datasets from Global Climate Models and observational sources, with emphasis on CMIP and the Earth System Grid Federation (ESGF). Covers Python libraries for multidimensional climate data analysis and storage, a formalisation of climate data within the relational data model, and requirements for HPC and cloud storage systems used by the climate community.
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