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This course aims to teach learners about the challenges and solutions in modernizing software stacks for Numerical Weather Prediction (NWP) using C++. The learning outcomes include understanding the data-intensive nature of NWP, the need for modern software techniques for many-core hardware, and the development of a C++ Domain Specific Embedded Language (DSEL) for parallel processing of meteorological data. The course covers topics such as model scalability, electrical power limits, data I/O rates, and the use of high-performance languages like C++. The teaching method involves presenting solutions to address the challenges faced by the NWP community, with a focus on functional programming and building pipelines for data processing. This course is intended for scientists and professionals in the field of meteorology who are interested in leveraging C++ for NWP software development.
