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Center for Nonlinear Studies |
With increasing computational power and concurrent growth in resolution, data storage has become a crucial bottleneck for numerical modeling, in particular for global climate models. Lossy compression is a viable option to preserve information, while reducing storage requirements, but requires careful evaluation to ensure the scientific integrity of the data. The field of statistics plays a key role in developing such quality assurance tools for spatio-temporal climate data as well as potentially contributing to the development of compression algorithms themselves. I will provide a summary of the work done at the National Center for Atmospheric Research (NCAR) and highlight areas of future development and potential collaborations.
Host: Carrie Jane Ryan