
Worked on the ecmwf/anemoi-datasets repository to enhance documentation around data frequency manipulation, focusing on improving usability for both users and developers. Developed comprehensive guides detailing how to interpolate datasets to higher frequencies and sample down to lower frequencies, using YAML configurations to streamline these workflows. Added practical examples, including a time interpolation workflow, to clarify implementation steps and reduce integration time for new contributors. Leveraged skills in data engineering and documentation, utilizing Python and YAML to illustrate configuration-driven approaches. The work addressed a key need for clear, actionable guidance on frequency alignment, supporting more efficient onboarding and dataset integration.
April 2025 performance highlights for ecmwf/anemoi-datasets: delivered critical documentation on data frequency manipulation to improve usability and developer experience; documented interpolation to higher frequencies and sampling to lower frequencies with YAML configurations; updated repository guidance to reduce integration time.
April 2025 performance highlights for ecmwf/anemoi-datasets: delivered critical documentation on data frequency manipulation to improve usability and developer experience; documented interpolation to higher frequencies and sampling to lower frequencies with YAML configurations; updated repository guidance to reduce integration time.

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