
Ophelia Miralles developed core data ingestion, geometry enhancements, and robust dataset management features for the ecmwf/anemoi-core and ecmwf/anemoi-datasets repositories. She implemented flexible data loading from text files, advanced Voronoi computations, and refactored area weighting logic to support both planar and spherical calculations, introducing a clear deprecation path for legacy APIs. Using Python, Xarray, and Zarr, Ophelia enabled persistent dataset storage, nearest neighbor spatial interpolation, and improved pointwise data indexing. Her work emphasized maintainable code, comprehensive documentation, and reliable testing, resulting in scalable workflows, improved data integrity, and streamlined save/load operations for scientific and geospatial data processing.
Month 2025-09: Delivered Dataset Save/Load API Enhancement for ecmwf/anemoi-datasets, focusing on usability, data integrity, and test coverage. Refactored save_dataset to accept an opened anemoi-dataset directly, simplifying usage and resolving issues with metadata registration and ensemble dimension handling. Added ability to inspect created datasets and ensured the ensemble dimension is correctly represented. Introduced a regression test (test_save_dataset) to verify the save/open workflow and protect against future regressions. Overall impact includes smoother developer experience, improved reliability of dataset I/O, and clearer visibility into saved artifacts.
Month 2025-09: Delivered Dataset Save/Load API Enhancement for ecmwf/anemoi-datasets, focusing on usability, data integrity, and test coverage. Refactored save_dataset to accept an opened anemoi-dataset directly, simplifying usage and resolving issues with metadata registration and ensemble dimension handling. Added ability to inspect created datasets and ensured the ensemble dimension is correctly represented. Introduced a regression test (test_save_dataset) to verify the save/open workflow and protect against future regressions. Overall impact includes smoother developer experience, improved reliability of dataset I/O, and clearer visibility into saved artifacts.
Month 2025-06: Delivered foundational PointCoordinate support and enhanced indexing for ecmwf/anemoi-datasets, enabling reliable point-, station-, poi-, and cell-based data access. Integrated with CoordinateGuesser and adjusted Variable handling to exclude point coordinates from shape and name calculations. These changes improve data discoverability, correctness, and downstream analytics.
Month 2025-06: Delivered foundational PointCoordinate support and enhanced indexing for ecmwf/anemoi-datasets, enabling reliable point-, station-, poi-, and cell-based data access. Integrated with CoordinateGuesser and adjusted Variable handling to exclude point coordinates from shape and name calculations. These changes improve data discoverability, correctness, and downstream analytics.
March 2025 highlights for ecmwf/anemoi-datasets: Delivered two core features that enhance data durability and quality, enabling reliable long-term storage and improved data completion, while maintaining a concise bug-fix footprint.
March 2025 highlights for ecmwf/anemoi-datasets: Delivered two core features that enhance data durability and quality, enabling reliable long-term storage and improved data completion, while maintaining a concise bug-fix footprint.
December 2024 (ecmwf/anemoi-core): Delivered core data ingestion and geometry enhancements, improved API stability, and raised code quality to support scalable, production-grade workflows. Key work enabled more flexible data sources, richer Voronoi computations, a clear API deprecation path, and better maintainability across the codebase.
December 2024 (ecmwf/anemoi-core): Delivered core data ingestion and geometry enhancements, improved API stability, and raised code quality to support scalable, production-grade workflows. Key work enabled more flexible data sources, richer Voronoi computations, a clear API deprecation path, and better maintainability across the codebase.

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